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GB2380001A - Performance data storage and processing - Google Patents

Performance data storage and processing Download PDF

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Publication number
GB2380001A
GB2380001A GB0115248A GB0115248A GB2380001A GB 2380001 A GB2380001 A GB 2380001A GB 0115248 A GB0115248 A GB 0115248A GB 0115248 A GB0115248 A GB 0115248A GB 2380001 A GB2380001 A GB 2380001A
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activity
performance
individual
data
local
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GB0115248A
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GB0115248D0 (en
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Graeme Cawsey
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TUSCAN CONSULTANTS Ltd
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TUSCAN CONSULTANTS Ltd
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Publication of GB2380001A publication Critical patent/GB2380001A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management

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  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
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Abstract

Performance data relating to individuals forming a local group is input at a local terminal 700. The data is processed 803 to generate at least one performance rating for each individual based on an activity. The data and the performance ratings are stored in a local storage area of the local terminal and transferred 707 to a central storage area configured to store data and individual performance ratings of a plurality of local groups.

Description

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PERFORMANCE DATA STORAGE AND PROCESSING SYSTEM Field of the Invention The present invention relates to the field of data storage and processing to generate a series of performance ratings for a plurality of individuals, each performing an activity.
Background to the Invention In order to assess an individual performing a particular activity, it is known to formulate a report including details of how the individual performed the activity in terms of certain predetermined criteria. For example, did the individual perform the activity quickly, efficiently, with the correct attitude or safely ? Such performance reports, as are known in the art, are applicable to the area of sports performance. For example, Fig. 1 details a typical scenario involving a coach 100 formulating a report 101 concerned with how the sporting individual 102 performs a particular sporting activity, in this example, running from start position A to finish position B. It is commonly known in the art to utilize paper and pen to record the performance and detail performance ratings according to certain criteria. For example, the coach 100 may fill in a form having certain tick boxes corresponding to the person 102 performing the activity poorly, average, well, or very good-such a performance rating corresponding to a particular criteria. Alternatively, or in addition it is known for a coach to mark a person's performance by simply marking the individual with a number from 1 to 10 to indicate the standard by which the individual performed according to particular assessment criteria relating to the activity.
Fig. 2 illustrates a flow diagram detailing the method of information flow from, for example, a coach monitoring individuals performing a variety of sporting activities to a central organization or body interested in reviewing the performances of individuals performing the activities. As is known in the art, a P726. spec
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report 101 is generated by, for example, a coach. This report is then forwarded to the interested body or organization via the postal service 202, involving the transporting of the report by road, rail, sea and/or air. The report 101 is then commonly input into a database at stage 203, such that the performance ratings for the individuals can be accessed by the body or organization.
Accordingly, the inventors have identified various problems associated with the utilization of conventional prior art activity performance monitoring systems as described with reference to Figs. 1 and 2, such problems include : * Typically, prior art performance reports are not user friendly in that a coach is required to expend considerable amounts of time formulating the report, be this by written description or the marking of pre-printed sheets having lists of pre-determined criteria. Due to this requirement of the expenditure of excessive time formulating a report, such reports are generally not produced and information concerning the individual or individuals performing the activity is passed on to interested parties by word of mouth only, if at all.
. The prior art system of formulating a written report, transferring this report (via the postal or similar system) to a central body or organization interested in the individual's performance, results in a substantial time delay from the formulating of the report to the accessing of the report by the interested body. Typically, a time period of weeks or months is not uncommon for data of this type to be input onto a central database.
* Due to the nature of prior art activity performance and monitoring systems as described above, it is common to lose such reports at some stage from its formulation to being entered on a central database.
Additionally, errors in transcription when inputting the report onto the central database are also incurred resulting in inaccurate activity performance data.
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The inventors have recognized a need for an activity performance monitoring system having enhanced usability whereby a person monitoring an individual performing a particular activity, can formulate the report in a minimum time period and send the report data directly to the interested body or organization.
Such a system, capable of rapid and direct performance data transfer is described in detail herein below.
Summary of the Invention The inventors, on recognizing a need for an improved activity performance monitoring system over that found in the art provide a system utilizing a local terminal, having a local storage area to store data relating to at least one activity of a plurality of individuals, each performing at least one activity. In addition, the local terminal is configured to process the performance data relating to each individual thereby generating at least one performance rating for each individual based on at least one activity performed. The performance data and individual performance ratings are then capable of being transferred electronically to a central terminal having a central storage area, such a terminal being at, for example, a governing body or interested organization whereby in use this terminal provides access to performance data and performance ratings relating to a plurality of individuals within a plurality of local groups.
According to a specific implementation of the present invention, a coach or supervising individual is responsible for assessing the performance of a plurality of individuals forming part of a local group, each individual performing at least one sporting activity. Typically, such local groups comprise 10 to 50 individuals, being a team or squad relating to a particular sporting activity. However, it will be appreciated by those in the art that a local group of individuals forming a sporting squad may be substantially less in number than this range or substantially more in number given the diverse and varied nature of sporting activities undertaking by individuals.
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Similarly, coaches or supervising individuals being in different geographical locations and responsible for a different plurality of individuals being different local groups to that mentioned above, assess the relevant individuals performing at least one activity using other local terminals having local storage areas. Again, those local terminals being utilized to generate a plurality of performance ratings related to each individual performing at least one activity in the corresponding local groups.
This data and importantly, the generated performance ratings can then be transferred to a central storage area for access by a governing body. Through this specific implementation a governing body is in a position to access performance related data and ratings for a plurality of individuals in a plurality of local groups in different geographical locations.
According to one aspect of the present invention weighting parameters utilized by the activity performance monitoring system, as described herein, are adjustable in that possible strengths and weaknesses of each individual, within a local group may be taken into account when generating a performance rating.
Through the alteration of at least one weighting parameter a user accessing the performance data and performance ratings can generate a list of the most proficient individuals performing a particular activity.
Through the utilization of a computer terminal or the like, having a suitable user interface, thereby allowing a coach to input performance data relating to a plurality of individuals, a system is provided by the inventors that is considerably more user friendly over those found in the art requiring less time for the input of data. Additionally, through the availability of a direct interface between the local terminal and the central terminal of a governing body, data transfer is rapid with a substantially decreased chance of errors in transcription occurring as are known with prior art systems involving performance reports of a hard copy nature, as distinguishable from the present system utilizing an electronic based system.
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According to a first aspect of the present invention there is provided a method of storing and processing performance data relating to a plurality of individuals, each individual performing at least one activity, said method comprising the steps of: for a percentage of said plurality of individuals being a local group, inputting said data at a local terminal ; processing said data to generate at least one performance rating for each individual based on said at least one activity; storing said data and said performance ratings in a local storage area of said local terminal ; transferring said data and said at least one performance rating of each individual to a central storage area configured to store data and individual performance ratings of a plurality of local groups.
According to a second aspect of the present invention there is provided a method of storing and processing performance data relating to a plurality of individuals, each individual performing a plurality of specific sporting activities, said method comprising the steps of: for a percentage of said plurality of individuals being a local group, inputting said data at a local terminal using a user interface; processing said data to generate a plurality of performance ratings for each individual based on each specific sporting activity; storing said data and said performance ratings in a local storage area of said local terminal ;
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transferring said data and said performance ratings of each individual to a central storage area configured to store performance data and performance ratings of a plurality of individuals in a plurality of local groups.
According to a third aspect of the present invention there is provided a method of inputting and outputting performance data relating to a plurality of individuals, each individual performing a plurality of specific sporting activities, said method comprising the steps of: for a percentage of said plurality of individuals being a local group, inputting said data at a local terminal using a local user interface ; displaying a plurality of performance ratings for each individuai at said local user interface, said ratings being generated by said local terminal ; transferring said data and said ratings to a central terminal having a central user interface; and displaying said plurality of performance ratings for each individual at said central user interface.
According to a fourth aspect of the present invention there is provided an apparatus for storing and processing performance data relating to a plurality of individuals, each individual performing a plurality of specific sporting activities, said apparatus comprising: performance data; a plurality of weighting parameters for utilisation by a plurality of performance rating algorithms, said algorithms being configured to generate a plurality of performance ratings for each individual ;
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a local terminal comprising: a user interface to input said data and display said performance ratings for a percentage of said plurality of individuals, said percentage of individuals being a local group; and a storage area to store said data and said performance ratings for said individuals in said local group; and a central terminal comprising: a user interface to display performance ratings for a plurality of individuals in a plurality of local groups; and a storage area to store said data and said performance ratings for said individuals in said local groups.
Brief Description of the Drawings For a better understanding of the invention and to show how the same may be carried into effect, there will now be described by way of example only, specific embodiments, methods and processes according to the present invention with reference to the accompanying drawings in which: Fig. 1 illustrates a prior art system of monitoring and recording an individual performing an activity; Fig. 2 illustrates a system by which a report of an individual performing an activity is recorded on a centralized storage area;
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Fig. 3 illustrates a plurality of local terminals having local storage areas being configured to interface with a central terminal having a central storage area; Fig. 4 illustrates the collecting of performance activity information for a plurality of local groups into a central storage area; Fig. 5 illustrates the central storage area configured with an inaccessible generic area and a plurality of accessible local group related areas according to one specific implementation of the present invention; Fig. 6 illustrates selected components of the activity performance monitoring system according to a specific implementation of the present invention; Fig. 7 illustrates a flow diagram detailing an operational mode of a specific implementation of the present invention; Fig. 8 illustrates a flow diagram detailing the various stages of operation of the activity performance monitoring system according to a specific implementation of the present invention; Fig. 9 illustrates an architecture of the data and performance ratings utilized by the performance system according to a specific implementation of the present invention; Fig. 10 illustrates a flow diagram detailing a mode by which an individual is categorized according to a specific implementation of the present invention; Fig. 11 illustrates the division of at least one activity into specific activities, general activities and an overall activity according to a specific implementation of the present invention;
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Fig. 12 illustrates a flow diagram detailing the operational mode according to one aspect of the present invention being configured to generate an overall activity performance rating; Fig. 13 illustrates a flow diagram detailing a specific activity performance algorithm forming part of one aspect of the present invention; Fig. 14 illustrates a flow diagram detailing an operational mode of a general activity performance algorithm according to one aspect of the present invention; Fig. 15 illustrates a flow diagram detailing an operational mode of an averaging algorithm according to one aspect of the present invention; Fig. 16 illustrates a flow diagram detailing an overall activity performance rating algorithm according to one aspect of the present invention; Fig. 17 illustrates a display at a user interface detailing a plurality of specific activities according to one aspect of the present invention; Fig. 18 illustrates a display at a user interface detailing a plurality of specific activities according to a specific implementation of the present invention; Fig. 19 illustrates a display at a user interface detailing an overall activity performance rating for a plurality of individuals.
Detailed Description of the Best Mode for Carrying Out the Invention There will now be described by way of example the best mode contemplated by the inventors for carrying out the invention. In the following description numerous specific details are set forth in order to provide a thorough understanding of the present invention. It will be apparent however, to one skilled in the art, that the present invention may be practiced without limitation to these
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specific details. In other instances, well known methods and structures have not been described in detail so as not to unnecessarily obscure the present invention.
Referring to Fig. 3 there is illustrated a plurality of local terminals 300, each being configured with a local storage area 301. Each local terminal being configured to interface with a central terminal 302 having a central storage area 303. According to the specific implementation of the present invention a local terminal 300 comprises a palm computer, a laptop computer, or a pocket computer being suitable for easy transportation and operation without the requirement of a mains supply.
Each local terminai 300 is configured to interface with the central terminai 302 via suitable communication ports such that data relating to a plurality of individuals forming each local group may be transferred. According to the specific implementation of the present invention data relating to each individual within a local group may not be transferred from a first local terminal 300 to a second local terminal 300. According to this configuration the central storage area 303 when in operation contains the collective performance data of each individual local storage area 301.
Referring to Fig. 4 there is illustrated the environment in which a plurality of local groups, each local group comprising a plurality of individuals is interconnected with a central area configured to store information and data relating to each local group 400. According to the specific implementation of the present invention the performance data relating to individuals within a particular local group 400 is stored within the corresponding local storage area 301 and central storage area 303 being accessible only from the corresponding local terminal 300 and central terminal 302. As such, a coach or local user at a first local group cannot access performance data and performance ratings of a second local group.
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Referring to Fig. 5 there is illustrated the architecture of the central storage area 303 being connected to a central terminal 302. Storage area 303 is partitioned into substantially two portions, a first portion 500 being non accessible by a local terminal and containing generic information relating to, for example, personal details of the coach including contact details; the organization within which the coach is associated; the qualifications of the coach and information relating to each individual within each of the plurality of local groups, including, for example, the player's personal details, these being contact details, an associated coach, the organization with which the player is associated, the competition level of the player and categorization details of the player.
Storage area 303 also comprises a second area 501, this area being accessible by a local terminal and contains performance data and performance ratings for each individual within each plurality of local groups 502. The data and information within area 501 is transferable to the storage areas 301 of each individual local terminal 300.
Referring to Fig. 6 there is illustrated an architecture of a local terminal 300 and central terminal 302 according to the specific implementation of the present invention. The terminals each comprise a user interface 601 which provides data input and data access operations to be performed by a local or central user. The user interface can be further divided into a data input interface 602, such data being, in the case of a local terminal 300, performance data relating to an individual performing an activity, and in the case of the central terminal 302 such data may be personal data relating to a coach 100 or an individual. User interface 601 further comprises data output interface 603 configured to display information relating to any aspect concerned with the performance monitoring system according to the specific implementation. Each terminal 300 and 302 comprises a processing engine 604 configured with activity weighting parameters 605 and performance rating algorithms 606, these parameters and algorithms being used to generate a plurality of performance ratings for the individuals within each local group, each performing an activity.
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Terminals 300 and 302 are also configured with the common and known features associated with a computer terminal such features including a physical user interface 607, e. g. a mouse, keyboard and screen, an operating system 608, a memory area 609 and a processor 610. As detailed above the local terminal 300 and the central terminal 302 comprise a storage area 301 and 303, respectively. In order to communicate with the central terminal 302, each local terminal 300 and central terminal 302 are configured with communications ports 611 to allow the transfer of performance data and performance ratings for a plurality of individuals, each performing an activity.
Referring to Fig. 7 there is illustrated a generai simplified flow diagram detailing an operational mode of the performance monitoring system according to the specific implementation. Performance data being a measure of how a coach or supervising individual 100 considers an individual to have performed an activity (e. g. sporting activity) in relation to a set of pre-determined criteria. For example, when performing the activity, did the individual perform the activity accurately, correctly, with the correct attitude or quickly ? If the individual performs more than one activity the coach 100 monitors and records a performance for activity 1 701, activity 2 702 up to activity N 703 where N is an integer above 2. Such data being input for a plurality of individuals, within a local group, each individual performing the activities separately. The performance data is then stored in the local storage area 301 at stage 704. The data is processed by the local terminal 300 at stage 705, such processing involving the utilization of a plurality of weighting parameters being concerned with, for example, the specific activity performed, the nature of the general activity within which the specific activity is categorized and the category of individual performing the activity. The data processing 705 also involves the utilization of a plurality of algorithms which are configured to utilize the performance data input by the coach, the weighting parameters and data generated by the processing stage 705. Following the processing of the data a plurality of performance ratings for each individual performing the activity may be output at the local user interface at 706, thereby
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allowing a coach to compare and assess the performance of each individual based on the initial performance data input at stage 700. Data is then transferred to the central storage area at stage 707 where it may be output to a central user at 708. The flow diagram detailed in Fig. 7 is concerned with a single local group 400, local terminal 300 and local storage area 301 together with the central storage area 303. The specific implementation of the present invention may be considered as a repetition of stages 700 to 708 in respect of a plurality of local groups 400 comprising individuals each performing an activity. The result of such a system is the generating of a central storage area 303 comprising performance data and performance ratings relating to a plurality of individuals from a plurality of local groups.
Referring to Fig. 8 there is illustrated a flow diagram detailing a mode of operation of the specific implementation of the present invention. At stage 800 data is input at the central terminal, such data relating to the coach and individuals as described with reference to Fig. 5, this data being stored in storage area 500 within the central storage area 303. The data relating to each individual within a particular local group is transferred to the corresponding local group at stage 801, a coach 100 then monitors each individual within a local group performing the separate activity at stage 802. Performance data is input via the local user interface of the local terminal 300 at stage 700. The data is processed at the local terminal, as detailed with reference to Fig. 7 (stage 705) to generate performance ratings 803 including, a specific activity rating 804, a general activity rating 805 and a overall activity rating 806. For example, in the sporting area of cricket a specific activity rating being concerned with an individual's catching ability when fielding, a general activity rating being related to how an individual performed generally when fielding and an overall activity rating corresponding to how an individual performed when fielding, bowling and batting.
The performance ratings are then output at the local terminal at stage 807 to allow the coach 100 to assess how each individual within a local group has performed specifically, generally and overall in respect of the specific sporting
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activities undertaken. The data and performance ratings are than transferred to the central terminal at stage 707 where such information may be output at the central terminal at stage 808 or processed at stage 809 by the central terminal 302 to regenerate a different set of performance ratings. The need to regenerate performance ratings may result from a change to the weighting parameters associated with each specific activity and each general activity. The performance ratings are then output at the central terminal at stage 810.
Referring to Fig. 9 there is illustrated a data storage architecture of the central storage area 303 having an inaccessible area 500 and accessible area 501. The inaccessible area 500 contains information relating to the coach 100 or supervising individual 9, such information including the contact details of the coach 901, the organisation with which the coach is associated 902 and any relevant qualifications 903. Storage area 500 is also configured to contain additional information relating to each coach 904, this information being, for example, an internal performance rating of the coach. Area 500 also contains information relating to the plurality of players within a plurality of local groups 400.
Such personal data relating to each individual 905 including, for example, contact details, the coach in charge of the individual, the organisation with which the player is associated, the category of individual (e. g. with reference to cricket is the individual a bats person, a bowler or all-rounder ? ) Area 501 within storage area 303 comprises areas 502, these areas being substantially equivalent to the local storage area contents 301 associated with a local group. For a particular individual the activity performance monitoring system according to the specific implementation determines an activity rating based on at least one specific performance activity, at least one general performance activity and an overall performance. The performance data is input by the coach in respect of at least one specific activity, these being for example, with reference to cricket, when an individual is bowling the coach inputs performance data relating to the accuracy of the individual, the body language, the tactical awareness, the endurance, the pace of bowling, of the individual into the local terminal 300. This
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performance data is stored in storage area 301. Each specific activity (e. g. accuracy, body language, tactical awareness) is grouped and associated with a general activity, e. g. bowling, this general activity is then included in an overall performance.
For example, and as detailed above, with reference to cricket, the general activities include batting, bowling and fielding (each having specific activities 906), these general activities 907 being used to provide an overall assessment 908 of an individual when performing a plurality of specific activities.
Referring to Fig. 10 there is illustrated a flow diagram detailing a method by which an individual, within a local group, is categorised according to a predetermined list of categories. For example, with reference to cricket is the individual, within the local group, predominantly a batting individual, a bowling individual, a fielding individual, or an all-round individual equally capable of batting, bowling and fielding ? Initially, individuals within area 500 of storage area 303 are non-categorised at stage 1000, the individuals are then categorised at stage 1001. For example, an individual may be categorised according to category 3 1002, such a category indicating that the individual is a batting individual with reference to cricket, as such and based on the category of individual the performance monitoring system according to the specific implementation establishes general activity weighting parameters for each general activity (WG) at stage 1003. For example, as the individual has been categorised as a batting individual, when performing specific performance activities within the general activity of fielding or bowling, the weighting parameters are such so as to reduce the significance of the individuals performance when fielding or bowling with reference to the importance of his performance when batting. Similarly, if the individual is categorised as being an all rounder the weighting parameters associated with each general activity (bowling, fielding, batting) are equal such that the individuals performance when performing these general activities are equally important and have equal effect on the final overall performance rating of the individual. Following the assigning of
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WG'S to each general activity at stage 1004 the specific activity performance data is processed at stage 705. The processing of the data thereby ultimately generating an overall performance rating for an individual performing a plurality of specific activities.
Referring to Fig. 11 there is illustrated the relationship between specific sporting activities, general sporting activities and an overall performance, the activity categories being linked by weighting parameters. The specific activities 906 within a particular general activity 907 are associated with this general activity via a specific activity weighting parameter (wus) 1100. For example, within the general activity of batting an individuals performance when batting against a pace bowler may be given more weight than when the same individual is batting against a spin bowler. Such specific activity weighting parameters 1100 being determined and controlled by a user at the central terminal 302. For example, and with reference to cricket, if a selector or governing body at a central terminal 302 requires individuals who are particularly proficient at batting against pace bowling the specific activity weighting parameter associated with this specific activity may be increased so as to increase the importance of the ability to bat against pace bowlers thereby aiding the selection of individuals to be included in, for example, a forthcoming event (e. g. a first cricket team facing a second cricket team where the second cricket team utilise pace bowling).
As indicated above, the ability of an individual within a local group when batting, bowling or fielding (these being general activities) is dependent upon the category of the individual. The specific performance activity ratings generated following the utilization of the associated Ws parameters are combined to generate a general activity rating, e. g. batting, bowling or fielding. The general activity ratings are then combined to produce an overall performance rating, the combining of the general activity ratings utilizing the We parameters associated with each general activity, these parameters being determined by the category of individual.
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Referring to Fig. 12 there is illustrated a flow diagram detailing the stages required to generate an overall activity performance rating. Utilizing the performance data input by a coach 100 in respect of a specific activity, a specific activity performance algorithm is applied to this data at stage 1200, also utilized by the specific performance algorithm is the specific activity weighting parameter associated with the specific activity stage 1201. A specific activity performance rating is then generated at stage 1202 in respect of an individual, within a local group, the individual performing a specific activity. A general activity performance algorithm is then applied to each individual specific sporting activity rating within a general activity at stage 1203 to generate a general activity performance rating 1204. According to the specific implementation of the present invention an averaging algorithm is then applied to a plurality of general activity performance ratings generated as a result of an individual performing a specific activity a plurality of times. Following the applying of the averaging algorithm at 1205 an average general activity performance rating is generated at 1206. Utilizing the general activity weighting parameter 1207 and the average general activity performance rating (or general activity performance rating) an overall activity performance algorithm is applied at 1208 to generate an overall activity performance rating at 1209. The generating of the overall activity performance rating at stage 1209 may be a result of applying the overall activity performance algorithm to a plurality of general activities having general activity performance ratings or average general activity performance ratings together with their respective weighting parameters.
Referring to Fig. 13 there is illustrated an operational mode of a specific activity performance algorithm according to the specific implementation of the present invention. The specific activity performance algorithm 1300 is configurable to generate specific activity performance ratings in respect of at least one specific activity performed by an individual or plurality of individuals within a local group. The Ws parameters are first assigned to each specific activity at stage 1301. A coach or supervising individual 100 responsible for a local group 400 inputs performance data for each individual in respect of each specific
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activity performed at stage 700. This performance data is then multiplied by the Ws parameter at 1302 to generate the specific activity performance rating at stage 1303.
Referring to Fig. 14 there is illustrated a general activity performance algorithm 1400 configured to generate general activity performance ratings for an individual, within a local group 400. Each specific activity performance rating generated at stage 1303 in respect of a single general activity is summed at stage 1401. A maximum possible specific activity performance rating sum for specific activities within a general activity is then determined, such a maximum performance rating being generated when, for example, a coach gives an individuai a maximum performance data value for each specific activity performed, these specific activities being within a single general activity 1402.
The sum of each specific activity performance rating is then divided by the maximum possible activity performance rating at stage 1403 to generate a general activity performance rating at stage 1404.
Referring to Fig. 15 there is illustrated an averaging algorithm 1500 configured to generate an average general activity performance rating for a single general activity in the event of an individual repeatedly performing at least one specific activity forming part of a general activity thereby generating a plurality of general activity ratings. For example, an individual may be assessed when batting on numerous occasions thereby generating a plurality of batting ratings for each batting performance. The specific activities for a particular general activity are repeated at stage 1501 a plurality of general activity performance ratings for a single general activity are then generated at stage 1502 according to the specific implementation of the present invention. An averaging algorithm is then applied to all the general activity performance ratings for the single general activity at stage 1503, such an averaging algorithm being an algorithm configured to generate an average based on a mean, median or mode average calculation. An average general activity performance rating for a single general activity is then generated at stage 1504. Additionally, it will be appreciated by those in the art
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that in order to determine a more accurate performance rating it is often beneficial to eliminate extreme values of a range of values used in the average calculation. If, for example, an individual performs an activity particularly poorly on at least one occasion this performance will have a significant effect on the final average value. Accordingly, and according to a further specific implementation of the present invention performance data, specific activity performance ratings and general activity performance ratings may be selectively included within the relevant process to generate the relevant performance rating.
Referring to Fig. 16 there is illustrated an overall activity performance rating algorithm 1600 configured to generate an overall activity performance rating for an individual within a local group 400. Having categorized an individual as detailed with reference to Fig. 10, W G parameters are assigned to each general activity at stage 1601, a sum of all the assigned general activity weighting parameters is then generated at stage 1602, each Wo is then multiplied by each corresponding (average) general activity performance rating at stage 1603 to generate a pre-overall value 1604 the generated pre-overall values are then summed at stage 1605, the sum of the pre-overall values then being divided by the sum of all the We at stage 1606. An overall activity performance rating is then generated for an individual at stage 1607 based on the specific activities performed. The utilization of the average general activity performance ratings is only possible following the repetition of the specific sporting activities to generate a plurality of general activity ratings in respect of a single general activity.
According to the specific implementation of the present invention when such average general activity performance ratings are not available in the event of an individual performing a specific activity only once, the overall activity performance algorithm is configured to utilize the general activity performance ratings to generate an overall activity performance rating for an individual.
Referring to Fig. 17 there is illustrated a display output of a user interface 601 having an output interface 603. The user interface 601 forming part of the local terminal 300 and central terminal 302. Fig. 17 illustrates a display window
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of a user interface 601 on a local terminal 300, by way of example. Window 1700 is a performance data input window allowing a coach or supervising individual 100 to input data relating to specific activities these being an individual, in this example, batting against a pace bowler whereby the batting individual is monitored by the coach when performing the specific activities of batting off the front foot and back foot in relation to shots played straight or square and the movement of the individual's feet when playing the shots. The coach via the local user interface inputs the performance data relating to the specific activities as detailed with reference to Fig. 17. Utilizing the user interface configured to generate a plurality of display windows, a coach can input performance data relating to a plurality of individuals, each individual performing a plurality of specific sporting activities. The coach is also able to add comments or a summary for each individual performing each activity, such comments being input at a suitable display window having the facility to input characters on screen so as to build up text. This may be by way of an on screen keyboard or similar character producing means. A coach is able to switch between display windows via suitable tabs 1701 located in a particular display window. To enter performance data according to the specific implementation of the present invention a coach adjusts or moves a slider 1702 along a scale 1703, the further the slider is moved along the scale, the greater the competence or rating the coach accredits an individual with performing a specific activity. The position of the slider 1702 on a scale 1703 determines the performance data input by the coach, this data then being processed by the aforementioned algorithms utilizing the variety of aforementioned weighting parameters to generate the variety of aforementioned activity ratings.
Referring to Fig. 18 there is illustrated a further display window 1700 to allow a coach to input performance data relating to an individual performing a plurality of specific sporting activities 906. The display window is concerned with a general activity 907, such an activity being, by way of example, bowling with reference to cricket, such that a plurality of specific sporting activities within the general activity are displayed on the display window 1700 to allow a coach to
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input performance data in respect of specific sporting activities falling within a general activity utilising a single screen. The display window 1700 may be configured with a suitable drop down menu 1800 allowing a coach to select further specific activities within a single general activity. For example, assessing an individual according to the specific activities 906 in respect of pace bowling, spin bowling or medium paced bowling.
Referring to Fig. 19 there is illustrated a display window of a user interface configured to display the overall performance ratings of a plurality of individuals.
The display window 1900 according to the specific implementation of the present invention is capable of being displayed at a local user interface on a local terminal 300 and on a central user interface at a central terminal 302. The overall performance rating 907 for a plurality of individuals may be generated following the activation of a tab 1701 within a display window. The user interface at the local terminal 300 and central 302 is configured to display overall performance ratings for a plurality of individuals in a local group and for a plurality of local groups, respectively. The display window 1900 according to the specific implementation of the present invention displays the names of individuals 1902 together with the overall performance ratings 1903. Each individual being categorized according to a predetermined list of categories is represented on the display window together with a category identifier 1904, for example, and with reference to cricket, an Bell is categorized as a BAts person, Justin Patterson is categorized as an All-rounder and Chris Tremlit is categorized as a BOwler according to the category identifiers 1904. The overall performance rating of each individual is displayed such that individuals and there corresponding overall performance rating are viewable using the scroll bars 1905.
Utilizing a similar display window to that illustrated in Fig. 19 the specific implementation of the present invention is configured to display specific activity performance ratings, and general activity performance ratings for a plurality of individuals, each performing a plurality of specific activities. Such that performance ratings for a percentage of the plurality of individuals, this
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percentage being a local group are displayed at a single local user interface and/or the central user interface and not at further user interfaces. The central user interface is configured to display performance ratings for the plurality of individuals from a plurality of local groups. Using suitable display windows similar to that illustrated in Fig. 19, the local and central user interfaces are configured to display an individual, their category identifier 1904 and a specific activity performance rating, a general activity performance rating, an average general activity performance rating and/or an overall activity performance rating. According to further specific implementation of the present invention the user interface may be configured to display the performance ratings on a single display window in respect of a single individual.
It will be appreciated by those in the art that the specific implementation of the present invention as described herein is not limited to the supporting genre but is in fact applicable to a variety of genres including, and by way of example an individuals p+lifestyle, diet or fitness. It will be appreciated by those in the art that references made herein to an activity are applicable to the pursuit of a goal this being, for example, an individual dieting or attempting to attain a better lifestyle through the utilisation of the recording and monitoring of performance based on specific pursuits.

Claims (37)

Claims :
1. A method of storing and processing performance data relating to a plurality of individuals, each individual performing at least one activity, said method comprising the steps of: for a percentage of said plurality of individuals being a local group, inputting said data at a local terminal ; processing said data to generate at least one performance rating for each individual based on said at least one activity; storing said data and said performance ratings in a local storage area of said local terminal ; transferring said data and said at least one performance rating of each individual to a central storage area configured to store data and individual performance ratings of a plurality of local groups.
2. The method as claimed in claim 1 wherein said at least one activity is at least one specific activity; said at least one specific activity forming part of a general activity; and said general activity forming part of an overall activity, said overall activity comprising a plurality of general activities.
3. The method as claimed in claim 2 wherein said step of processing said data for each individual comprises the steps of: assigning a specific activity weighting parameter to each said at least one specific activity;
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applying a specific activity performance rating algorithm to said data and each said activity weighting parameter; and generating a specific activity performance rating for each individual.
4. The method as claimed in claim 3 wherein the step of processing said data for each individual comprises the steps of: applying a general activity performance rating algorithm to said performance data, said specific activity weighting parameter and said specific activity performance rating; and generating a generai activity performance rating for an individual.
5. The method as claimed in claim 4 wherein the step of processing said data for each individual comprises the steps of: categorising each individual according to a set of categories; assigning a general activity weighting parameter to each general activity based on a category of an individual; applying an overall activity performance rating algorithm to said general activity performance rating and said general activity weighting parameter; and generating an overall activity performance rating for an individual.
6. The method as claimed in claim 5 wherein said step of processing said data of each individual comprises the steps of:
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generating a plurality of general activity performance ratings for a general activity for an individual repeatedly performing said at least one specific activity forming part of said general activity; applying an averaging algorithm to said plurality of general activity performance ratings of a general activity; and generating an average general activity performance rating for an individual.
7. The method as claimed in claim 6 wherein the step of processing said data of each individual comprises the steps of: applying said overall activity performance rating algorithm to said average general activity performance rating and said general activity weighting parameter; and generating an overall activity performance rating for an individual.
8. The method as claimed in claim 1, wherein said step of processing said data for each individual is performed at said local terminal.
9. A method of storing and processing performance data relating to a plurality of individuals, each individual performing a plurality of specific sporting activities, said method comprising the steps of: for a percentage of said plurality of individuals being a local group, inputting said data at a local terminal using a user interface; processing said data to generate a plurality of performance ratings for each individual based on each specific sporting activity;
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storing said data and said performance ratings in a local storage area of said local terminal ; transferring said data and said performance ratings of each individual to a central storage area configured to store performance data and performance ratings of a plurality of individuals in a plurality of local groups.
10. The method as claimed in claim 9 wherein said local storage area and said central storage area are configured to store said performance data and said plurality of performance ratings for each individual by: arranging said plurality of specific sporting activities into a plurality of general activities; and arranging said general activities into an overall activity.
11. The method as claimed in claim 9 wherein prior to said step of inputting said data, said method further comprises the step of: receiving at said local terminal, personal individual data relating to each individual within said local group; and storing said personal data in said local storage area.
12. The method as claimed in claim 10 wherein said step of processing said data for each individual comprises the steps of: assigning a specific activity weighting parameter to each specific sporting activity within each general activity; applying a specific activity performance rating algorithm to said data and said parameter; and
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generating a specific activity performance rating for each individual.
13. The method as claimed in claim 12 wherein said step of processing said data for each individual comprises the steps of: applying a general activity performance rating algorithm to said performance data, said specific activity weighting parameter and said specific activity performance rating; and generating a general activity performance rating for an individual.
14. The method as claimed in claim 13 wherein said step of processing said data of each individual comprises the steps of: categorising each individual according to a set of categories; assigning a general activity weighting parameter to each general activity based on a category of an individual ; applying an overall activity performance rating algorithm to said general activity performance rating and said general activity weighting parameter; and generating an overall activity performance rating for an individual.
15. The method as claimed in claim 14 wherein the step of processing said data of an individual comprises the steps of: generating a plurality of general activity performance ratings for a general activity for an individual repeatedly performing said at least one specific activity forming part of said general activity;
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applying an averaging algorithm to said plurality of general activity performance ratings of a general activity; and generating an overall general activity performance rating for an individual.
16. The method as claimed in claim 15 wherein the step of processing said data for each individual comprises the steps of: applying said overall activity performance rating algorithm to said average general activity performance rating and said general activity weighting parameter; and generating an overall activity performance rating for an individual.
17. The method as claimed in claim 14, wherein said step of categorising each individual comprises the step of; categorising each individual according to any one of said plurality of general activities and said overall activity.
18. The method as claimed in claim 9 wherein said central storage area forms part of a central terminal being configured to process said performance data relating to said plurality of individuals.
19. A method of inputting and outputting performance data relating to a plurality of individuals, each individual performing a plurality of specific sporting activities, said method comprising the steps of: for a percentage of said plurality of individuals being a local group, inputting said data at a local terminal using a local user interface;
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displaying a plurality of performance ratings for each individual at said local user interface, said ratings being generated by said local terminal ; transferring said data and said ratings to a central terminal having a central user interface; and displaying said plurality of performance ratings for each individual at said central user interface.
20. The method as claimed in claim 19 further comprising the steps of: transferring performance data and performance ratings from a plurality of local terminals to said central terminal; and displaying said performance ratings at said central user interface.
21. The method as claimed in claim 19 wherein said prior to said step of inputting said data, said method further comprises the step of: inputting personal individual data relating to said plurality of individuals at said central terminal using said central user interface; transferring said personal data to said local terminal ; and displaying said personal data at said local user interface.
22. The method as claimed in claim 19, wherein said plurality of performance ratings for each individual comprise: a specific activity performance rating; a general activity performance rating;
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an average general activity performance rating; and an overall activity performance rating.
23. The method as claimed in claim 22, further comprising the steps of: displaying at least one said general activity performance rating and at least one general activity for at least one individual of said local group on a first display window of said local user interface.
24. The method as claimed in claim 22, further comprising the steps of: displaying at least one said average general activity performance rating and at least one general activity for at least one individual of said local group on a first display window of said local user interface.
25. The method as claimed in claim 22, further comprising the steps of : displaying an overall activity performance rating for said plurality of individuals being a local group on a second display window of said local user interface.
26. The method as claimed in claim 22, further comprising the steps of: displaying at least one said general activity performance rating and at least one general activity for at least one individual of a local group on a first display window of said central user interface.
27. The method as claimed in claim 22, further comprising the steps of:
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displaying at least one said average general activity performance rating and at least one general activity for at least one individual of a local group on a first display window of said central user interface.
28. The method as claimed in claim 22, further comprising the steps of displaying an overall activity performance rating for said plurality of individuals in a plurality of local groups on a second display window of said central user interface.
29. An apparatus for storing and processing performance data relating to a plurality of individuals, each individual performing a plurality of specific sporting activities, said apparatus comprising: performance data; a plurality of weighting parameters for utilisation by a plurality of performance rating algorithms, said algorithms being configured to generate a plurality of performance ratings for each individual ; a local terminal comprising: a user interface to input said data and display said performance ratings for a percentage of said plurality of individuals, said percentage of individuals being a local group; and a storage area to store said data and said performance ratings for said individuals in said local group; and a central terminal comprising: a user interface to display performance ratings for a plurality of individuals in a plurality of local groups; and
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a storage area to store said data and said performance ratings for said individuals in said local groups.
30. The apparatus as claimed in claim 29 wherein said local storage area and said central storage area are configured to store said performance data and said plurality of performance ratings for each individual by: arranging said plurality of specific sporting activities into a plurality of general activities; and arranging said general activities into an overaii activity.
31. The apparatus as claimed in claim 30, wherein said plurality of said weighting parameters comprise: a plurality of specific activity weighting parameters; and a plurality of general activity weighting parameters.
32. The apparatus as claimed in claim 30 wherein said plurality of performance rating algorithms comprise: a specific activity performance rating algorithm; a general activity performance rating algorithm ; and an overall activity performance rating algorithm.
33. The apparatus as claimed in claim 32 further comprising an averaging algorithm configured to generate an average general activity performance rating for a general activity.
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34. The apparatus as claimed in claim 29 wherein said plurality of weighting parameters and said performance algorithms are stored in said local terminal and said central terminal.
35. The apparatus as claimed in claim 33 wherein said local terminal is configured to generate, for each individual in said local group: a specific activity rating; a general activity rating; an average general activity rating; and an overall activity rating.
36. The method as claimed in claim 33 wherein said central terminal is configured to generate, for a plurality of individuals in a plurality of local groups: a specific activity performance rating; a general activity performance rating; an average general activity performance rating; and an overall activity performance rating.
37. An apparatus for storing and processing performance data according to claim 29 with reference to any one of the accompanying drawings.
GB0115248A 2001-06-21 2001-06-21 Performance data storage and processing Withdrawn GB2380001A (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2293896A (en) * 1994-10-07 1996-04-10 Technogym Srl Programming training on exercise apparatus
WO2000052604A1 (en) * 1999-03-05 2000-09-08 Stayhealty. Com System and method for on-line health monitoring and education
WO2001052718A2 (en) * 2000-01-19 2001-07-26 Healthetech, Inc. Diet and activity monitoring device
WO2002039363A1 (en) * 2000-11-09 2002-05-16 Gpsports Systems Pty Ltd Information system and method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2293896A (en) * 1994-10-07 1996-04-10 Technogym Srl Programming training on exercise apparatus
WO2000052604A1 (en) * 1999-03-05 2000-09-08 Stayhealty. Com System and method for on-line health monitoring and education
WO2001052718A2 (en) * 2000-01-19 2001-07-26 Healthetech, Inc. Diet and activity monitoring device
WO2002039363A1 (en) * 2000-11-09 2002-05-16 Gpsports Systems Pty Ltd Information system and method

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