CN106823347A - A kind of attitude detection display device and method - Google Patents
A kind of attitude detection display device and method Download PDFInfo
- Publication number
- CN106823347A CN106823347A CN201710037863.XA CN201710037863A CN106823347A CN 106823347 A CN106823347 A CN 106823347A CN 201710037863 A CN201710037863 A CN 201710037863A CN 106823347 A CN106823347 A CN 106823347A
- Authority
- CN
- China
- Prior art keywords
- motion sensor
- mcu
- lamp
- posture
- signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000001514 detection method Methods 0.000 title claims abstract description 20
- 230000033001 locomotion Effects 0.000 claims abstract description 53
- 239000003086 colorant Substances 0.000 claims abstract description 9
- 238000004422 calculation algorithm Methods 0.000 claims description 18
- 230000001133 acceleration Effects 0.000 claims description 14
- 238000013528 artificial neural network Methods 0.000 claims description 7
- 238000001914 filtration Methods 0.000 claims description 7
- 238000010801 machine learning Methods 0.000 claims description 7
- 238000007635 classification algorithm Methods 0.000 claims description 6
- 230000004927 fusion Effects 0.000 claims description 6
- 241000469816 Varus Species 0.000 abstract description 2
- 210000004744 fore-foot Anatomy 0.000 abstract 1
- 230000036544 posture Effects 0.000 description 43
- 238000004458 analytical method Methods 0.000 description 4
- 230000006872 improvement Effects 0.000 description 2
- 241001227561 Valgus Species 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0087—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0605—Decision makers and devices using detection means facilitating arbitration
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
Landscapes
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Physical Education & Sports Medicine (AREA)
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- User Interface Of Digital Computer (AREA)
- Toys (AREA)
Abstract
The invention discloses a kind of attitude detection display methods and device, by embedded scm（MCU）With coupled motion sensor, signal lamp to realize above method, its method includes：Step 1）The interface and working method of setting motion sensor and MCU；Step 2）Obtain the initial data of motion sensor；Step 3）Specific attitude information is calculated according to above initial data, wherein, attitude includes：Forefoot landing when sporter runs, mesopodium landing, followed by landing, race of turning up, varus are run, toed-out, interior eight word；Step 4）Different instructions are formed according to above attitude information, and different operation treatment are done to signal lamp, to allow signal display lamp to show different colors or state.
Description
Technical Field
The invention belongs to a posture detection display device and method.
Background
With the improvement of living standard, people pay more and more attention to healthy life, and running is the cheapest, common and accepted exercise mode by the public. But few have comprehensive knowledge of the running posture.
At present, running posture detection is realized by checking through a mobile phone APP or a third-party display screen, and the self running posture change cannot be intuitively found in the running process so as to be adjusted in time.
Disclosure of Invention
The invention aims to provide a posture detection display method and device.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the gesture detecting and displaying method is realized through an embedded single chip Microcomputer (MCU), a motion sensor and a signal indicator light which are connected with the MCU, and the method comprises the following steps:
step 1) setting interfaces and working modes of a motion sensor and an MCU;
step 2) acquiring the original data of the motion sensor;
step 3) calculating specific attitude information according to the original data; wherein the gesture comprises: when a sporter runs, the soles of the feet fall to the ground, the middle feet fall to the ground, the heels fall to the ground, the feet turn outwards, the feet turn inwards, the feet turn outwards and the feet turn inwards;
and 4) forming different instructions according to the posture information, and performing different operation processing on the signal indicator lamp to enable the signal display lamp to display different colors or states.
Preferably, step 2) specifically comprises: and reading the raw data of the motion sensor through the SPI or IIC interface.
Preferably, the motion sensor is selected from a three-axis acceleration sensor, a six-axis acceleration and angular velocity sensor, or a gyroscope.
Preferably, step 3) specifically includes:
the original data of the motion sensor is obtained, and the current posture information of the sporter (the posture comprises the falling of the sole of the foot, the falling of the middle foot, the falling of the heel, the outward turning, the inward turning, the outward splayed character, the inward splayed character and the like when the sporter runs) is calculated through the fusion of classification algorithms such as a filtering algorithm, a characteristic value algorithm, a machine learning algorithm and/or a neural network.
Preferably, before step 4), the method further comprises: presetting a corresponding relation between a running posture and the state of a signal display lamp;
in the step 4), the method specifically comprises the following steps: and according to the current posture information, the lamp is lightened out or the lamp is turned off corresponding to the running posture.
An attitude detection display device comprising:
the device comprises an embedded single chip Microcomputer (MCU), a motion sensor and a signal indicator light, wherein the motion sensor and the signal indicator light are connected with the MCU, and the MCU is used for acquiring original data of the motion sensor;
calculating specific attitude information according to the original data;
different instructions are formed according to the posture information, and different operation processing is carried out on the signal indicating lamp, so that the signal display lamp can display different colors or states.
Preferably, the MCU reads raw data of the motion sensor through the SPI or IIC interface.
Preferably, the motion sensor is selected from a three-axis acceleration sensor, a six-axis acceleration and angular velocity sensor, or a gyroscope.
Preferably, the MCU is further configured to acquire raw data of the motion sensors, and calculate current posture information of the athlete through fusion of a filtering algorithm, a machine learning algorithm, and/or a neural network classification algorithm.
Preferably, the method further comprises the following steps: presetting a corresponding relation between a running posture and the state of a signal display lamp;
the MUC is further used for enabling the lamp to emit light corresponding to the running gesture or enabling the lamp to be turned off according to the current gesture information.
The invention simply enables the sporter to visually see the current movement posture of the sporter, and does not need to check the information in the modes of a mobile phone APP or a third-party display screen and the like. Really realizes the pleasure exercise by knowing and putting both hands. More specifically, the invention performs attitude analysis at the hardware end according to the data of the motion sensor; and performing different light-emitting control according to different postures.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The present invention will be described in detail below with reference to the accompanying drawings so that the above advantages of the present invention will be more apparent. Wherein,
FIG. 1 is a schematic flow chart of a gesture detection display method according to the present invention;
fig. 2 is a schematic structural diagram of the posture detection display device of the present invention.
Detailed Description
The following detailed description of the embodiments of the present invention will be provided with reference to the drawings and examples, so that how to apply the technical means to solve the technical problems and achieve the technical effects can be fully understood and implemented. It should be noted that, as long as there is no conflict, the embodiments and the features of the embodiments of the present invention may be combined with each other, and the technical solutions formed are within the scope of the present invention.
The present invention is directed to an implementation scheme for determining various postures of a player (postures including, but not limited to, a sole falling place, a middle foot falling place, a heel falling place, an eversion running, an inversion running, an outer splayed character, an inner splayed character, etc. when the player runs) based on various data of a motion sensor, and emitting light of different colors according to the different postures.
The implementation mode is mainly realized through an embedded hardware scheme, the MUC acquires data of the motion sensor, performs data analysis to obtain posture information, and then displays the posture through the color of the lamp.
As shown in fig. 1, a posture detecting and displaying method is implemented by an embedded single chip Microcomputer (MCU) and a motion sensor and a signal indicator lamp connected thereto, preferably, the MCU is disposed in a sports shoe, and the method includes:
step 1) setting interfaces and working modes of a motion sensor and an MCU;
step 2) acquiring the original data of the motion sensor;
step 3) calculating specific attitude information according to the original data;
and 4) forming different instructions according to the posture information, and performing different operation processing on the signal indicator lamp to enable the signal display lamp to display different colors or states.
Wherein, step 2), specifically include: and reading the raw data of the motion sensor through the SPI or IIC interface.
The motion sensor is selected from a three-axis acceleration sensor, a six-axis acceleration and angular velocity sensor or a gyroscope.
Wherein, in the step 3), the method specifically comprises the following steps:
and acquiring the original data of the motion sensor, and calculating the current posture information of the sporter through the fusion of a filtering algorithm, a machine learning algorithm and/or a neural network classification algorithm.
Wherein, before step 4), further comprising: presetting a corresponding relation between a running posture and the state of a signal display lamp;
in the step 4), the method specifically comprises the following steps: and according to the current posture information, the lamp is lightened out or the lamp is turned off corresponding to the running posture.
In one embodiment, the method comprises the following specific steps:
step one, the MCU initializes the motion sensor. And initializing the interface of the MCU and the working mode of the motion sensor.
And step two, the MCU acquires the data of the motion sensor.
The MCU reads the raw data of motion sensors (triaxial acceleration sensor, six-axis acceleration and angular velocity sensor, gyroscope, etc.) through the SPI or IIC interface.
And step three, after the MCU obtains the original data of the motion sensor, obtaining specific posture information (the posture comprises the steps of falling of the sole of the foot, falling of the middle foot, falling of the heel, outward turning, inward turning, outward splayed, inward splayed and the like when the sporter runs) through algorithm analysis according to the data.
After the original data of the motion sensor is obtained, the current attitude information of all the motions is calculated through the fusion of various algorithms such as a filtering algorithm, a machine learning algorithm, a neural network classification and the like.
And step four, after the MCU obtains the attitude information, performing different operation processing on the lamp according to different attitude information, and lightening lights with different colors or extinguishing the lamp light.
After obtaining the posture information, the MCU operates a series of internal resources such as a timer to turn on the light corresponding to the running posture or turn off the light.
The invention simply enables the sporter to visually see the current sports posture through hardware arranged in the sports shoes, and does not need to check the information through modes such as a mobile phone APP or a third-party display screen. Really realizes the pleasure exercise by knowing and putting both hands. More specifically, the invention performs attitude analysis at the hardware end according to the data of the motion sensor; and performing different light-emitting control according to different postures.
As shown in fig. 2, a posture detection display device includes:
the device comprises an embedded single chip Microcomputer (MCU), a motion sensor and a signal indicator light, wherein the motion sensor and the signal indicator light are connected with the MCU, and the MCU is used for acquiring original data of the motion sensor;
calculating specific posture information (the posture includes but is not limited to the falling of the sole of the foot, the falling of the middle foot, the falling of the heel, the valgus running, the varus running, the outer splayed character, the inner splayed character and the like) when the sporter runs;
different instructions are formed according to the posture information, and different operation processing is carried out on the signal indicating lamp, so that the signal display lamp can display different colors or states.
Preferably, the MCU reads raw data of the motion sensor through the SPI or IIC interface.
Preferably, the motion sensor is selected from a three-axis acceleration sensor, a six-axis acceleration sensor, and an angular velocity sensor or a gyroscope.
Preferably, the MCU is further configured to acquire raw data of the motion sensors, and calculate current posture information of the athlete through fusion of a filtering algorithm, a machine learning algorithm, and/or a neural network classification algorithm.
Preferably, the method further comprises the following steps: presetting a corresponding relation between a running posture and the state of a signal display lamp;
the MUC is further used for enabling the lamp to emit light corresponding to the running gesture or enabling the lamp to be turned off according to the current gesture information.
The invention simply enables the sporter to visually see the current movement posture of the sporter, and does not need to check the information in the modes of a mobile phone APP or a third-party display screen and the like. Really realizes the pleasure exercise by knowing and putting both hands. More specifically, the invention performs attitude analysis at the hardware end according to the data of the motion sensor; and performing different light-emitting control according to different postures.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The gesture detection and display method is characterized in that the method is realized through an embedded single chip Microcomputer (MCU) and a motion sensor and a signal indicator light which are connected with the MCU, and the method comprises the following steps:
step 1) setting interfaces and working modes of a motion sensor and an MCU;
step 2) acquiring the original data of the motion sensor;
step 3) calculating specific attitude information according to the original data; wherein the gesture comprises: when a sporter runs, the soles of the feet fall to the ground, the middle feet fall to the ground, the heels fall to the ground, the feet turn outwards, the feet turn inwards, the feet turn outwards and the feet turn inwards;
and 4) forming different instructions according to the posture information, and performing different operation processing on the signal indicator lamp to enable the signal display lamp to display different colors or states.
2. The gesture detection display method according to claim 1, wherein step 2) specifically includes: and reading the raw data of the motion sensor through the SPI or IIC interface.
3. The attitude detection display method according to claim 1 or 2, wherein the motion sensor selects a three-axis acceleration sensor, a six-axis acceleration and angular velocity sensor, or a gyroscope.
4. The gesture detection display method according to claim 1 or 2, characterized in that in step 3), specifically comprising:
and acquiring the original data of the motion sensor, and calculating the current posture information of the sporter through the fusion of a filtering algorithm, a machine learning algorithm and/or a neural network classification algorithm.
5. The gesture detection display method according to claim 1 or 2, characterized by, before step 4), further comprising: presetting a corresponding relation between a running posture and the state of a signal display lamp;
in the step 4), the method specifically comprises the following steps: and according to the current posture information, the lamp is lightened out or the lamp is turned off corresponding to the running posture.
6. An attitude detection display device characterized by comprising:
the device comprises an embedded single chip Microcomputer (MCU), a motion sensor and a signal indicator light, wherein the motion sensor and the signal indicator light are connected with the MCU, and the MCU is used for acquiring original data of the motion sensor;
calculating specific attitude information according to the original data;
different instructions are formed according to the posture information, and different operation processing is carried out on the signal indicating lamp, so that the signal display lamp can display different colors or states.
7. The attitude detection display device according to claim 6, wherein the MCU reads raw data of the motion sensor through SPI or IIC interface.
8. The attitude detection display device according to claim 6 or 7, wherein the motion sensor selects a three-axis acceleration sensor, a six-axis acceleration and angular velocity sensor, or a gyroscope.
9. The posture detection and display method according to claim 6 or 7, wherein the MCU is further configured to obtain raw data of the motion sensors, and calculate the current posture information of the athlete by fusing classification algorithms such as a filtering algorithm, a feature value algorithm, a machine learning algorithm, and/or a neural network.
10. The posture-detection display device according to claim 6 or 7, characterized by further comprising: presetting a corresponding relation between a running posture and the state of a signal display lamp;
the MUC is further used for enabling the lamp to emit light corresponding to the running gesture or enabling the lamp to be turned off according to the current gesture information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710037863.XA CN106823347A (en) | 2017-01-18 | 2017-01-18 | A kind of attitude detection display device and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710037863.XA CN106823347A (en) | 2017-01-18 | 2017-01-18 | A kind of attitude detection display device and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106823347A true CN106823347A (en) | 2017-06-13 |
Family
ID=59123756
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710037863.XA Pending CN106823347A (en) | 2017-01-18 | 2017-01-18 | A kind of attitude detection display device and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106823347A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108307119A (en) * | 2018-02-10 | 2018-07-20 | 安徽工程大学 | A kind of moving camera attitude-control device simplified |
| CN109330088A (en) * | 2018-10-30 | 2019-02-15 | 陕西理工大学 | A kind of running shoes with correcting function |
| CN110108278A (en) * | 2019-05-22 | 2019-08-09 | 北京卡路里信息技术有限公司 | It is landed determining method and device based on the foot of six axle sensors |
| CN110694252A (en) * | 2019-10-09 | 2020-01-17 | 成都乐动信息技术有限公司 | Running posture detection method based on six-axis sensor |
| CN114532658A (en) * | 2020-11-10 | 2022-05-27 | 中国移动通信集团四川有限公司 | Motion state presenting method and device and electronic equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5864333A (en) * | 1996-02-26 | 1999-01-26 | O'heir; Brian S. | Foot force actuated computer input apparatus and method |
| US6836744B1 (en) * | 2000-08-18 | 2004-12-28 | Fareid A. Asphahani | Portable system for analyzing human gait |
| CN101327125A (en) * | 2007-06-23 | 2008-12-24 | 株式会社百利达 | Gait assessment system, gait meter, gait assessment program and recording medium |
| CN101894206A (en) * | 2009-05-18 | 2010-11-24 | 阿迪达斯股份公司 | Be used to provide the method and system of body-building Monitoring Service |
| CN105358055A (en) * | 2013-07-12 | 2016-02-24 | 墨尔本皇家理工大学 | Sensor array system |
-
2017
- 2017-01-18 CN CN201710037863.XA patent/CN106823347A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5864333A (en) * | 1996-02-26 | 1999-01-26 | O'heir; Brian S. | Foot force actuated computer input apparatus and method |
| US6836744B1 (en) * | 2000-08-18 | 2004-12-28 | Fareid A. Asphahani | Portable system for analyzing human gait |
| CN101327125A (en) * | 2007-06-23 | 2008-12-24 | 株式会社百利达 | Gait assessment system, gait meter, gait assessment program and recording medium |
| CN101894206A (en) * | 2009-05-18 | 2010-11-24 | 阿迪达斯股份公司 | Be used to provide the method and system of body-building Monitoring Service |
| CN105358055A (en) * | 2013-07-12 | 2016-02-24 | 墨尔本皇家理工大学 | Sensor array system |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108307119A (en) * | 2018-02-10 | 2018-07-20 | 安徽工程大学 | A kind of moving camera attitude-control device simplified |
| CN109330088A (en) * | 2018-10-30 | 2019-02-15 | 陕西理工大学 | A kind of running shoes with correcting function |
| CN110108278A (en) * | 2019-05-22 | 2019-08-09 | 北京卡路里信息技术有限公司 | It is landed determining method and device based on the foot of six axle sensors |
| CN110108278B (en) * | 2019-05-22 | 2021-07-09 | 北京卡路里信息技术有限公司 | Foot landing determination method and device based on six-axis sensor |
| CN110694252A (en) * | 2019-10-09 | 2020-01-17 | 成都乐动信息技术有限公司 | Running posture detection method based on six-axis sensor |
| CN114532658A (en) * | 2020-11-10 | 2022-05-27 | 中国移动通信集团四川有限公司 | Motion state presenting method and device and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106823347A (en) | A kind of attitude detection display device and method | |
| US20200305762A1 (en) | Information processing apparatus, information processing system, and insole | |
| US20220346490A1 (en) | Enhancing Exercise Through Augmented Reality | |
| KR102254151B1 (en) | Method for providing information according to gait posture and electronic device therefor | |
| ES2744423T3 (en) | Fall detection method and system | |
| CN105612475B (en) | Wrist-worn sports apparatus with gesture recognition and power management | |
| US10343046B2 (en) | Methods and systems for displaying representations of facial expressions and activity indicators on devices | |
| US10660395B2 (en) | Smart terminal service system and smart terminal processing data | |
| US10842219B2 (en) | Smart top routes | |
| TWI638280B (en) | Method, electronic apparatus and recording medium for automatically configuring sensors | |
| WO2016206255A1 (en) | Walking and standing posture orthotic device, shoe, insole and orthotic method | |
| CN205107688U (en) | Intelligent shoe | |
| EP3032455A1 (en) | Device and method for the classification and the reclassification of a user activity | |
| CN107048569B (en) | Intelligent shoe and sports information acquisition system and method | |
| CN116637352A (en) | Running gesture detection method and wearable device | |
| JP2023145448A (en) | Multi-modal sensor fusion platform | |
| WO2016006479A1 (en) | Activity amount measuring device, activity amount measuring method, activity amount measuring program | |
| CN115644858B (en) | Wearable intelligent gait analyzer based on multi-sensor data fusion technology | |
| US9776041B1 (en) | User performance analysis system | |
| CN207767634U (en) | Intelligent football shoes and training system suitable for ball skills study | |
| KR20190118265A (en) | A device and method for monitering walking | |
| JPWO2018179664A1 (en) | Information processing apparatus, information processing method and program | |
| US20240184856A1 (en) | Method and kit for recognising a user of a footwear article or an activity performed by a user of a footwear article | |
| KR102202681B1 (en) | Checking apparatus for walking patterns with attachable to shoes | |
| JP2020156547A (en) | Running style discrimination device, running style discrimination method, and running style discrimination program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170613 |