[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN105321293A - Danger detection reminding method and intelligent equipment - Google Patents

Danger detection reminding method and intelligent equipment Download PDF

Info

Publication number
CN105321293A
CN105321293A CN201410479798.2A CN201410479798A CN105321293A CN 105321293 A CN105321293 A CN 105321293A CN 201410479798 A CN201410479798 A CN 201410479798A CN 105321293 A CN105321293 A CN 105321293A
Authority
CN
China
Prior art keywords
preset
sound
decibel
detected sound
vulnerable group
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
Application number
CN201410479798.2A
Other languages
Chinese (zh)
Inventor
郑战海
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Genius Technology Co Ltd
Original Assignee
Guangdong Genius Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Guangdong Genius Technology Co Ltd filed Critical Guangdong Genius Technology Co Ltd
Priority to CN201410479798.2A priority Critical patent/CN105321293A/en
Publication of CN105321293A publication Critical patent/CN105321293A/en
Pending legal-status Critical Current

Links

Landscapes

  • Emergency Alarm Devices (AREA)
  • Alarm Systems (AREA)

Abstract

The invention is suitable for the field of intelligent equipment, and provides a danger detection reminding method and intelligent equipment. The method comprises the following steps: detecting whether the motion state of the vulnerable group changes; detecting the sound around the weak crowd when the motion state of the weak crowd changes; judging whether the similarity of the detected sound characteristic and a preset sound characteristic exceeds a preset similarity threshold value and/or judging whether the decibel of the detected sound is greater than the preset decibel; recording the detected sound and acquiring the position information of the vulnerable group when the similarity of the detected sound characteristic and the preset sound characteristic exceeds a preset similarity threshold and/or the decibel of the detected sound is greater than a preset decibel; and sending the recorded sound and the position information of the vulnerable group to a designated intelligent terminal. The embodiment of the invention is beneficial to saving the electric quantity of the intelligent equipment.

Description

Danger detection reminding method and intelligent equipment
Technical Field
The invention belongs to the field of intelligent equipment, and particularly relates to a danger detection reminding method and intelligent equipment.
Background
The safety of the weak people (usually people needing protection, such as the old, pregnant women and children) is a focus of family attention.
At present, a positioning module is usually added to an intelligent device such as a mobile phone, and when a vulnerable group holds the intelligent device, the intelligent device obtains corresponding position information through the added positioning module and pushes the position information to a designated intelligent device. In this way, the holder of the designated smart device will learn the location information of the vulnerable group of interest. However, it is difficult to know whether the vulnerable group is in danger in time. For example, if the vulnerable group who is in danger does not know to ask for help, it is difficult for family members to judge whether the vulnerable group needs help only by the acquired location information.
Disclosure of Invention
The embodiment of the invention provides a danger detection reminding method, and aims to solve the problem that the quantity of information acquired by the conventional method is too small.
The embodiment of the invention is realized in such a way that a danger detection reminding method comprises the following steps:
detecting whether the motion state of the vulnerable group changes;
detecting the sound around the weak crowd when the motion state of the weak crowd changes;
judging whether the similarity of the detected sound characteristic and a preset sound characteristic exceeds a preset similarity threshold value and/or judging whether the decibel of the detected sound is greater than the preset decibel;
recording the detected sound and acquiring the position information of the vulnerable group when the similarity of the detected sound characteristic and the preset sound characteristic exceeds a preset similarity threshold and/or the decibel of the detected sound is greater than a preset decibel;
and sending the recorded sound and the position information of the vulnerable group to a designated intelligent terminal.
Another object of an embodiment of the present invention is to provide an intelligent device for danger detection and reminder, where the intelligent device includes:
the motion state detection unit is used for detecting whether the motion state of the vulnerable group changes;
the sound detection unit is used for detecting the sound around the weak people when the motion state of the weak people changes;
the condition judging unit is used for judging whether the similarity of the detected sound characteristic and the preset sound characteristic exceeds a preset similarity threshold value and/or judging whether the decibel of the detected sound is greater than the preset decibel;
the system comprises a weak crowd information acquisition unit, a position information acquisition unit and a position information acquisition unit, wherein the weak crowd information acquisition unit is used for recording detected sound and acquiring position information of a weak crowd when the similarity between the detected sound characteristic and a preset sound characteristic exceeds a preset similarity threshold value and/or the decibel of the detected sound is greater than a preset decibel;
and the vulnerable group information sending unit is used for sending the recorded sound and the position information of the vulnerable group to the designated intelligent terminal.
In the embodiment of the invention, the intelligent terminal acquires the sound of the vulnerable group and the position information of the vulnerable group, so that the holder of the intelligent terminal is facilitated to judge whether the vulnerable group is in danger or not, and the probability of misjudgment is reduced. And because the MIC is adopted to detect the sound around the vulnerable group when the motion state of the vulnerable group changes, the working time of the MIC is reduced, and the electric quantity of the intelligent device is saved.
Drawings
Fig. 1 is a flowchart of a danger detection reminding method according to a first embodiment of the present invention;
fig. 2 is a structural diagram of an intelligent device for danger detection reminding according to a second embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the embodiment of the invention, when the change of the motion state of the vulnerable group is detected, the sound around the vulnerable group is detected, whether the similarity between the characteristics of the detected sound and the characteristics of the preset sound exceeds a preset similarity threshold value or not and/or whether the decibel of the detected sound is greater than the preset decibel or not is judged, when the conditions are met, the detected sound is recorded and the position information of the vulnerable group is obtained, and finally the recorded sound and the position information of the vulnerable group are sent to the appointed intelligent terminal.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
The first embodiment is as follows:
fig. 1 shows a flowchart of a danger detection reminding method according to a first embodiment of the present invention, in this embodiment, a vulnerable group wears or holds an intelligent device, the intelligent device is paired with a designated intelligent terminal in advance, and when the intelligent device detects that the vulnerable group may have a danger, sound and location information of the vulnerable group are acquired and sent to the designated intelligent terminal, which is detailed as follows:
step S11, detecting whether the movement state of the vulnerable group has changed.
In this step, the state of motion of a person can be detected by means of a motion sensor. Such as by a gravity sensor, an acceleration sensor, a gyroscope, or other motion sensor. When the motion state of a person changes, its center of gravity and/or acceleration may change: for example, if a child falls, his center of gravity will change; when a child runs suddenly, his speed will also change. When the motion state of the person changes, it indicates that the person may be dangerous. Thus, it is possible to determine whether a change in the person's state of motion is being transmitted by determining whether the person's center of gravity has changed, and/or determining whether the person's acceleration has changed, etc.
When the motion state of the vulnerable group is judged according to the gravity center of the vulnerable group, the step of detecting whether the motion state of the vulnerable group changes specifically comprises the following steps:
and A1, judging whether the center of gravity of the vulnerable group changes. In this step, the center of gravity of the vulnerable group can be detected by a sensor having a center of gravity detection, such as a gravity sensor. For example, a time interval for detecting the center of gravity is preset, for example, 10 seconds is set, if the center of gravity of the vulnerable group is detected in 1 second, the center of gravity of the vulnerable group is detected again in 11 seconds, and whether the center of gravity of the vulnerable group changes can be determined by comparing two adjacent detected centers of gravity.
And A2, when the center of gravity of the vulnerable group changes, judging whether the range of the change of the center of gravity is larger than a preset center of gravity threshold value. In this step, the preset gravity threshold is usually related to the height of the vulnerable group detecting the gravity. For example, when an elderly person with a high center of gravity is detected to fall, the change in the center of gravity is generally larger than that when a elderly person with a low center of gravity falls.
And A3, when the change range of the gravity center is larger than a preset gravity center threshold value, judging that the state of the vulnerable group is changed. Of course, if the range of the change of the center of gravity is less than or equal to the preset threshold value of the center of gravity, it is determined that the state of the vulnerable group does not change.
In step S12, when the movement state of the vulnerable group changes, the sound around the vulnerable group is detected.
In this step, after it is determined that the movement state of the vulnerable group has changed, a Microphone (MIC) is turned on to detect sounds around the vulnerable group. Because the MIC is started only after the movement state of the vulnerable group changes, the power consumption of the MIC is saved, and the loss of equipment is reduced.
Step S13, determining whether the similarity between the detected sound characteristic and the preset sound characteristic exceeds a preset similarity threshold, and/or determining whether the detected sound decibel is greater than a preset decibel.
In this step, because the person may make screech and crying sounds when the person is in danger, and the frequencies and decibels of the screech and crying sounds are higher than the frequencies and decibels of normal speaking, whether the similarity between the characteristics (such as frequency distribution characteristics and time domain characteristics) of the detected sounds and the characteristics of the preset sounds exceeds a preset similar threshold value or not can be determined, and/or the decibels of the detected sounds are compared with the preset decibels, so as to determine whether the person is in a dangerous state or not.
Preferably, the preset decibels are related to the individual being tested. For example, some individuals speak normally louder, and the preset decibel is also larger.
Step S14, recording the detected sound and acquiring the location information of the vulnerable group when the similarity between the detected sound characteristic and the preset sound characteristic exceeds a preset similarity threshold and/or the decibel of the detected sound is greater than a preset decibel.
In this step, the position information of the vulnerable group can be obtained through technologies such as GPS satellite positioning, Bluetooth positioning, WIFI network positioning and Beidou positioning. The acquired position information includes a specific road name where the vulnerable group is located, and may also include a name of a landmark building near the location where the vulnerable group is located, and the like.
Wherein, when the similarity of the detected sound characteristic and the preset sound characteristic exceeds a preset similarity threshold, and/or when the decibel of the detected sound is greater than a preset decibel, the steps of recording the detected sound and acquiring the position information of the vulnerable group specifically include:
b1, judging whether the similarity of the frequency distribution characteristics and the time domain characteristics of the detected sound and the frequency distribution characteristics and the time domain characteristics in the preset time exceeds a preset similarity threshold value. When the person is in danger, the person may scream continuously for a period of time, so that the step judges whether the similarity of the frequency distribution characteristics and the time domain characteristics of the sound and the frequency distribution characteristics and the time domain characteristics in the preset time exceeds a preset similarity threshold value.
B2, recording the detected sound and acquiring the position information of the vulnerable group when the similarity of the frequency distribution characteristic and the time domain characteristic of the detected sound and the frequency distribution characteristic and the time domain characteristic within the preset time exceeds a preset similarity threshold. In the step, only when the similarity of the frequency distribution characteristic and the time domain characteristic of the sound and the similarity of the frequency distribution characteristic and the time domain characteristic within the preset time exceed a preset similarity threshold, the vulnerable group is judged to be possibly in a dangerous state.
Or,
and C1, judging whether the decibels of the detected sound are all larger than the preset decibel within the preset time.
And C2, recording the detected sound and acquiring the position information of the vulnerable group when the decibel of the detected sound is greater than the preset decibel within the preset time.
Or,
d1, judging whether the similarity of the frequency distribution characteristics and the time domain characteristics of the detected sound and the frequency distribution characteristics and the time domain characteristics in the preset time exceeds a preset similarity threshold value.
D2, when the similarity of the frequency distribution characteristics and the time domain characteristics of the detected sound and the frequency distribution characteristics and the time domain characteristics in the preset time exceeds a preset similarity threshold, judging whether the decibels of the detected sound are all larger than a preset decibel in the preset time.
D3, recording the detected sound and acquiring the position information of the vulnerable group when the decibel of the detected sound is greater than the preset decibel within the preset time.
Because the similarity of the frequency distribution characteristic and the time domain characteristic of the detected sound and the frequency distribution characteristic and the time domain characteristic within the preset time exceeds the preset similar threshold value, and/or the detected sound is recorded and the position information of the vulnerable group is obtained only when the decibel of the detected sound is greater than the preset decibel, the starting of the accessories for recording the sound and the accessories for obtaining the position information can be reduced, and therefore resources such as electric quantity can be effectively saved.
And step S15, sending the recorded sound and the position information of the vulnerable group to a designated intelligent terminal.
In this step, the designated intelligent terminal is usually held by family members who concern the vulnerable group. When the appointed intelligent terminal receives the recorded sound, the holder of the appointed intelligent terminal plays the recorded sound and judges whether the vulnerable group is in a dangerous state or not so as to take corresponding measures. For example, when it is determined that the vulnerable group is at risk, it may look up the vulnerable group based on the received location information.
Preferably, after the step of sending the recorded sound and the location information of the vulnerable group to the designated intelligent terminal, the method includes the following steps:
and starting a reminding function of the intelligent terminal so that the holder of the intelligent terminal can know the information of the vulnerable group. In this step, the intelligent device obtains authorization for starting the reminding function of the intelligent terminal in advance, and if the intelligent device judges that the intelligent terminal is not provided with the reminding function, the reminding function of the intelligent terminal is started, so that the intelligent terminal sends out reminding information when receiving information of the vulnerable group, such as sending out voice reminding, short message reminding, or ring reminding (such as alarm bell reminding) and the like.
Preferably, after the step of sending the recorded sound and the location information of the vulnerable group to the designated intelligent terminal, the method includes the following steps:
e1, receiving a call request sent by the intelligent terminal; when the holder of the intelligent terminal judges that the vulnerable group is in danger, a call request with the intelligent equipment held by the vulnerable group is initiated.
E2, automatically accepting the call request so as to directly call with the intelligent terminal. In the step, after the intelligent device receives the call request initiated by the intelligent terminal, the call request is directly received, so that the time for the vulnerable group to confirm whether to receive the call request is saved, and a holder of the intelligent terminal can timely know the current state of the vulnerable group.
In the first embodiment of the present invention, when it is detected that the movement state of the vulnerable group changes, sounds around the vulnerable group are detected, whether the similarity between the characteristics of the detected sounds and the characteristics of the preset sounds exceeds a preset similarity threshold, and/or whether the decibel of the detected sounds is greater than a preset decibel is determined, and when the above conditions are met, the detected sounds are recorded and the position information of the vulnerable group is obtained, and finally, the recorded sounds and the position information of the vulnerable group are sent to a designated intelligent terminal. Because the intelligent terminal acquires the sound of the vulnerable group and the position information of the vulnerable group, the intelligent terminal is helpful for the holder of the intelligent terminal to judge whether the vulnerable group is in danger or not, and the probability of misjudgment is reduced. And because the MIC is adopted to detect the sound around the vulnerable group when the motion state of the vulnerable group changes, the working time of the MIC is reduced, and the electric quantity of the intelligent device is saved.
Example two:
fig. 2 shows a structural diagram of an intelligent device for danger detection and reminder according to a second embodiment of the present invention, where the intelligent device for danger detection and reminder has a call function, a positioning function, and the like, and may be a portable wearable device, such as a bracelet. For convenience of explanation, only portions related to the embodiments of the present invention are shown.
This intelligent equipment that danger detection reminded includes: a motion state detection unit 21, a sound detection unit 22, a condition judgment unit 23, a vulnerable group information acquisition unit 24, and a vulnerable group information transmission unit 25. Wherein:
a motion state detection unit 21 for detecting whether the motion state of the vulnerable group changes.
The motion state may be detected by a motion sensor. Such as by a gravity sensor, an acceleration sensor, a gyroscope, or other motion sensor.
Wherein the motion state detection unit 21 includes:
and the gravity center detection module is used for judging whether the gravity center of the vulnerable group changes. Specifically, the center of gravity of the vulnerable group is detected by a sensor such as a gravity sensor that detects the center of gravity.
And the gravity center comparison module is used for judging whether the gravity center change range is larger than a preset gravity center threshold value when the gravity center of the vulnerable group changes. In particular, the preset center of gravity threshold is typically related to the height of the vulnerable group of people detecting the center of gravity.
And the gravity center change module is used for judging that the state of the vulnerable group changes when the gravity center change range is larger than a preset gravity center threshold value.
The sound detection unit 22 is configured to detect sounds around the vulnerable group when the movement state of the vulnerable group changes.
Specifically, the sound detection unit 22 is an MIC.
The condition determining unit 23 is configured to determine whether a similarity between the detected sound characteristic and a preset sound characteristic exceeds a preset similarity threshold, and/or determine whether a decibel of the detected sound is greater than a preset decibel.
Wherein the predetermined decibels are associated with the individual being tested.
The vulnerable group information obtaining unit 24 is configured to record the detected sound and obtain the location information of the vulnerable group when the similarity between the detected sound characteristic and the preset sound characteristic exceeds a preset similarity threshold, and/or when the decibel of the detected sound is greater than a preset decibel.
Specifically, the position information of the vulnerable group can be acquired through technologies such as GPS satellite positioning, Bluetooth positioning, WIFI network positioning and Beidou positioning. The acquired position information includes a specific road name where the vulnerable group is located, and may also include a name of a landmark building near the location where the vulnerable group is located, and the like.
Wherein the vulnerable group information acquiring unit 24 includes:
and the first frequency comparison module is used for judging whether the similarity of the frequency distribution characteristics and the time domain characteristics of the detected sound and the frequency distribution characteristics and the time domain characteristics in the preset time exceeds a preset similarity threshold value or not.
The first sound recording module is used for recording the detected sound and acquiring the position information of the vulnerable group when the similarity of the frequency distribution characteristics and the time domain characteristics of the detected sound and the frequency distribution characteristics and the time domain characteristics within the preset time exceeds a preset similarity threshold.
Or,
and the first decibel detection module is used for judging whether the decibels of the detected sound are all larger than the preset decibel within the preset time.
And the second sound recording module is used for recording the detected sound and acquiring the position information of the vulnerable group when the detected sound decibel is greater than the preset decibel within the preset time.
Or,
and the second frequency comparison module is used for judging whether the similarity of the frequency distribution characteristics and the time domain characteristics of the detected sound and the frequency distribution characteristics and the time domain characteristics in the preset time exceeds a preset similarity threshold value or not.
And the second decibel comparison module is used for judging whether the decibels of the detected sound are all larger than the preset decibels within the preset time or not when the similarity of the frequency distribution characteristics and the time domain characteristics of the detected sound and the frequency distribution characteristics and the time domain characteristics within the preset time exceeds a preset similar threshold.
And the third sound recording module is used for recording the detected sound and acquiring the position information of the vulnerable group when the detected sound decibel is greater than the preset decibel within the preset time.
And the vulnerable group information sending unit 25 is used for sending the recorded sound and the position information of the vulnerable group to a designated intelligent terminal.
Because the similarity of the frequency distribution characteristic and the time domain characteristic of the detected sound and the frequency distribution characteristic and the time domain characteristic within the preset time exceeds the preset similar threshold value, and/or the detected sound is recorded and the position information of the vulnerable group is obtained only when the decibel of the detected sound is greater than the preset decibel, the starting of accessories for recording the sound and accessories for obtaining the position information can be reduced, and therefore resources such as electric quantity can be effectively saved.
Preferably, the intelligent device for the danger detection reminder includes:
and the reminding function starting unit is used for starting the reminding function of the intelligent terminal so that the holder of the intelligent terminal can know the information of the vulnerable group.
The intelligent device obtains authorization for starting the reminding function of the intelligent terminal in advance, and if the intelligent device judges that the intelligent terminal is not provided with the reminding function, the reminding function of the intelligent terminal is started, so that the intelligent terminal sends reminding information when receiving information of the vulnerable group, such as voice reminding, short message reminding, ring reminding (alarm bell reminding) and the like.
Preferably, the intelligent device for the danger detection reminder includes:
and the call request receiving unit is used for receiving the call request sent by the intelligent terminal.
And the call request automatic receiving unit is used for automatically receiving the call request so as to directly communicate with the intelligent terminal.
Because the intelligent equipment directly receives the call request after receiving the call request initiated by the intelligent terminal, the time for the vulnerable group to confirm whether to receive the call request is saved, and the holder of the intelligent terminal can timely know the current state of the vulnerable group.
In the embodiment of the invention, the intelligent terminal acquires the sound of the vulnerable group and the position information of the vulnerable group, so that the holder of the intelligent terminal is facilitated to judge whether the vulnerable group is in danger or not, and the probability of misjudgment is reduced. And because the MIC is adopted to detect the sound around the vulnerable group when the motion state of the vulnerable group changes, the working time of the MIC is reduced, and the electric quantity of the intelligent device is saved.
It will be understood by those skilled in the art that all or part of the steps in the method for implementing the above embodiments may be implemented by relevant hardware instructed by a program, and the program may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (10)

1. A danger detection reminding method is characterized by comprising the following steps:
detecting whether the motion state of the vulnerable group changes;
detecting the sound around the weak crowd when the motion state of the weak crowd changes;
judging whether the similarity of the detected sound characteristic and a preset sound characteristic exceeds a preset similarity threshold value and/or judging whether the decibel of the detected sound is greater than the preset decibel;
recording the detected sound and acquiring the position information of the vulnerable group when the similarity of the detected sound characteristic and the preset sound characteristic exceeds a preset similarity threshold and/or the decibel of the detected sound is greater than a preset decibel;
and sending the recorded sound and the position information of the vulnerable group to a designated intelligent terminal.
2. The method according to claim 1, wherein the step of detecting whether the movement status of the vulnerable group has changed comprises:
judging whether the gravity center of the vulnerable group changes or not;
when the center of gravity of the vulnerable group changes, judging whether the change range of the center of gravity is larger than a preset center of gravity threshold value;
and when the change range of the gravity center is larger than a preset gravity center threshold value, judging that the state of the vulnerable group is changed.
3. The method according to claim 1, wherein the step of recording the detected sound and acquiring the location information of the vulnerable group when the similarity between the characteristics of the detected sound and the characteristics of the preset sound exceeds a preset similarity threshold and/or the decibel of the detected sound is greater than a preset decibel specifically comprises:
judging whether the similarity of the frequency distribution characteristics and the time domain characteristics of the detected sound and the frequency distribution characteristics and the time domain characteristics in the preset time exceeds a preset similarity threshold value or not;
when the similarity of the frequency distribution characteristics and the time domain characteristics of the detected sound and the frequency distribution characteristics and the time domain characteristics within the preset time exceeds a preset similarity threshold, recording the detected sound and acquiring the position information of the vulnerable group;
or,
judging whether the decibels of the detected sound are all larger than a preset decibel within a preset time;
recording the detected sound and acquiring the position information of the vulnerable group when the decibel of the detected sound is greater than the preset decibel within the preset time;
or,
judging whether the similarity of the frequency distribution characteristics and the time domain characteristics of the detected sound and the frequency distribution characteristics and the time domain characteristics in the preset time exceeds a preset similarity threshold value or not;
when the similarity of the frequency distribution characteristics and the time domain characteristics of the detected sound and the frequency distribution characteristics and the time domain characteristics in the preset time exceeds a preset similarity threshold, judging whether the decibel of the detected sound is greater than a preset decibel within the preset time;
and recording the detected sound and acquiring the position information of the vulnerable group when the decibel of the detected sound is greater than the preset decibel within the preset time.
4. The method as claimed in claim 1, wherein after the step of transmitting the recorded sound and the location information of the vulnerable group to the designated intelligent terminal, the method comprises the steps of:
and starting a reminding function of the intelligent terminal so that the holder of the intelligent terminal can know the information of the vulnerable group.
5. The method as claimed in claim 1, wherein after the step of transmitting the recorded sound and the location information of the vulnerable group to the designated intelligent terminal, the method comprises the steps of:
receiving a call request sent by the intelligent terminal;
and automatically accepting the call request so as to directly communicate with the intelligent terminal.
6. An intelligent device for danger detection reminding, the intelligent device comprising:
the motion state detection unit is used for detecting whether the motion state of the vulnerable group changes;
the sound detection unit is used for detecting the sound around the weak people when the motion state of the weak people changes;
the condition judging unit is used for judging whether the similarity of the detected sound characteristic and the preset sound characteristic exceeds a preset similarity threshold value and/or judging whether the decibel of the detected sound is greater than the preset decibel;
the system comprises a weak crowd information acquisition unit, a position information acquisition unit and a position information acquisition unit, wherein the weak crowd information acquisition unit is used for recording detected sound and acquiring position information of a weak crowd when the similarity between the detected sound characteristic and a preset sound characteristic exceeds a preset similarity threshold value and/or the decibel of the detected sound is greater than a preset decibel;
and the vulnerable group information sending unit is used for sending the recorded sound and the position information of the vulnerable group to the designated intelligent terminal.
7. The smart device of claim 6, wherein the motion state detection unit comprises:
the gravity center detection module is used for judging whether the gravity center of the vulnerable group changes;
the gravity center comparison module is used for judging whether the gravity center change range is larger than a preset gravity center threshold value or not when the gravity center of the vulnerable group changes;
and the gravity center change module is used for judging that the state of the vulnerable group changes when the gravity center change range is larger than a preset gravity center threshold value.
8. The smart device of claim 6, wherein the vulnerable group information obtaining unit comprises:
the first frequency comparison module is used for judging whether the similarity of the frequency distribution characteristics and the time domain characteristics of the detected sound and the frequency distribution characteristics and the time domain characteristics in the preset time exceeds a preset similarity threshold value or not;
the first sound recording module is used for recording the detected sound and acquiring the position information of the vulnerable group when the similarity of the frequency distribution characteristics and the time domain characteristics of the detected sound and the frequency distribution characteristics and the time domain characteristics within the preset time exceeds a preset similarity threshold;
or,
the first decibel detection module is used for judging whether the decibels of the detected sound are all larger than a preset decibel within a preset time;
the second sound recording module is used for recording the detected sound and acquiring the position information of the vulnerable group when the decibel of the detected sound is greater than the preset decibel within the preset time;
or,
the second frequency comparison module is used for judging whether the similarity of the frequency distribution characteristics and the time domain characteristics of the detected sound and the frequency distribution characteristics and the time domain characteristics in the preset time exceeds a preset similarity threshold value or not;
the second decibel comparison module is used for judging whether the decibels of the detected sound are all larger than the preset decibel within the preset time or not when the similarity of the frequency distribution characteristics and the time domain characteristics of the detected sound and the frequency distribution characteristics and the time domain characteristics within the preset time exceeds a preset similar threshold;
and the third sound recording module is used for recording the detected sound and acquiring the position information of the vulnerable group when the detected sound decibel is greater than the preset decibel within the preset time.
9. The smart device of claim 6, wherein the smart device comprises:
and the reminding function starting unit is used for starting the reminding function of the intelligent terminal so that the holder of the intelligent terminal can know the information of the vulnerable group.
10. The smart device of claim 6, wherein the smart device comprises:
a call request receiving unit, configured to receive a call request sent by the intelligent terminal;
and the call request automatic receiving unit is used for automatically receiving the call request so as to directly communicate with the intelligent terminal.
CN201410479798.2A 2014-09-18 2014-09-18 Danger detection reminding method and intelligent equipment Pending CN105321293A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410479798.2A CN105321293A (en) 2014-09-18 2014-09-18 Danger detection reminding method and intelligent equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410479798.2A CN105321293A (en) 2014-09-18 2014-09-18 Danger detection reminding method and intelligent equipment

Publications (1)

Publication Number Publication Date
CN105321293A true CN105321293A (en) 2016-02-10

Family

ID=55248595

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410479798.2A Pending CN105321293A (en) 2014-09-18 2014-09-18 Danger detection reminding method and intelligent equipment

Country Status (1)

Country Link
CN (1) CN105321293A (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106023541A (en) * 2016-06-21 2016-10-12 深圳市金立通信设备有限公司 Method for prompting user and terminal
CN106094506A (en) * 2016-06-01 2016-11-09 北京小米移动软件有限公司 Intelligent watch operational approach and device
CN106303836A (en) * 2016-11-15 2017-01-04 广东小天才科技有限公司 Method and device for adjusting stereo playing
CN106530610A (en) * 2016-09-28 2017-03-22 北京奇虎科技有限公司 Mobile terminal and method and device for detecting tumble of person
CN106533594A (en) * 2017-01-04 2017-03-22 上海量明科技发展有限公司 Broadcast and unmanned aerial vehicle combined system and implementation method thereof
CN107517207A (en) * 2017-03-13 2017-12-26 平安科技(深圳)有限公司 Server, auth method and computer-readable recording medium
CN109222904A (en) * 2018-08-29 2019-01-18 广东工业大学 A kind of the elderly's safe condition determination method and device based on multidimensional data
CN109345767A (en) * 2018-10-19 2019-02-15 广东小天才科技有限公司 Safety reminding method, device, equipment and storage medium for wearable equipment user
CN109559477A (en) * 2018-12-24 2019-04-02 绿瘦健康产业集团有限公司 Unmanned gymnasium indoor intelligent monitoring and managing method, device, terminal device and medium
CN110875956A (en) * 2019-11-21 2020-03-10 刘肇基 Student safety monitoring system based on Internet of things
CN116721390A (en) * 2023-08-09 2023-09-08 克伦斯(天津)轨道交通技术有限公司 Subway train passenger state determining method and system based on data processing

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101742981A (en) * 2007-02-16 2010-06-16 希盟(中国)科技有限公司 Wearable mini-size intelligent healthcare system
US20110316702A1 (en) * 2010-06-25 2011-12-29 Hon Hai Precision Industry Co., Ltd. Electronic device with automatic notification function for personal emergency and method thereof
WO2012015412A1 (en) * 2010-07-29 2012-02-02 J & M I.P. Holding Company, Llc Fall-responsive emergency device, system, and method
CN102737480A (en) * 2012-07-09 2012-10-17 广州市浩云安防科技股份有限公司 Abnormal voice monitoring system and method based on intelligent video
CN103873689A (en) * 2014-03-12 2014-06-18 深圳市中兴移动通信有限公司 Method and device for safety reminding
CN104050774A (en) * 2014-05-22 2014-09-17 深圳奇沃智联科技有限公司 Worn type electronic watch ring piece with video function

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101742981A (en) * 2007-02-16 2010-06-16 希盟(中国)科技有限公司 Wearable mini-size intelligent healthcare system
US20110316702A1 (en) * 2010-06-25 2011-12-29 Hon Hai Precision Industry Co., Ltd. Electronic device with automatic notification function for personal emergency and method thereof
WO2012015412A1 (en) * 2010-07-29 2012-02-02 J & M I.P. Holding Company, Llc Fall-responsive emergency device, system, and method
CN102737480A (en) * 2012-07-09 2012-10-17 广州市浩云安防科技股份有限公司 Abnormal voice monitoring system and method based on intelligent video
CN103873689A (en) * 2014-03-12 2014-06-18 深圳市中兴移动通信有限公司 Method and device for safety reminding
CN104050774A (en) * 2014-05-22 2014-09-17 深圳奇沃智联科技有限公司 Worn type electronic watch ring piece with video function

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106094506A (en) * 2016-06-01 2016-11-09 北京小米移动软件有限公司 Intelligent watch operational approach and device
CN106023541A (en) * 2016-06-21 2016-10-12 深圳市金立通信设备有限公司 Method for prompting user and terminal
CN106530610A (en) * 2016-09-28 2017-03-22 北京奇虎科技有限公司 Mobile terminal and method and device for detecting tumble of person
CN106303836A (en) * 2016-11-15 2017-01-04 广东小天才科技有限公司 Method and device for adjusting stereo playing
CN106533594A (en) * 2017-01-04 2017-03-22 上海量明科技发展有限公司 Broadcast and unmanned aerial vehicle combined system and implementation method thereof
CN107517207A (en) * 2017-03-13 2017-12-26 平安科技(深圳)有限公司 Server, auth method and computer-readable recording medium
CN109222904A (en) * 2018-08-29 2019-01-18 广东工业大学 A kind of the elderly's safe condition determination method and device based on multidimensional data
CN109345767A (en) * 2018-10-19 2019-02-15 广东小天才科技有限公司 Safety reminding method, device, equipment and storage medium for wearable equipment user
CN109345767B (en) * 2018-10-19 2020-11-20 广东小天才科技有限公司 Safety reminding method, device, equipment and storage medium for wearable equipment user
CN109559477A (en) * 2018-12-24 2019-04-02 绿瘦健康产业集团有限公司 Unmanned gymnasium indoor intelligent monitoring and managing method, device, terminal device and medium
CN110875956A (en) * 2019-11-21 2020-03-10 刘肇基 Student safety monitoring system based on Internet of things
CN116721390A (en) * 2023-08-09 2023-09-08 克伦斯(天津)轨道交通技术有限公司 Subway train passenger state determining method and system based on data processing
CN116721390B (en) * 2023-08-09 2023-10-27 克伦斯(天津)轨道交通技术有限公司 Subway train passenger state determining method and system based on data processing

Similar Documents

Publication Publication Date Title
CN105321293A (en) Danger detection reminding method and intelligent equipment
US9715815B2 (en) Wirelessly tethered device tracking
US10832697B2 (en) Systems and methods for managing an emergency situation
US20150249718A1 (en) Performing actions associated with individual presence
US20180040230A1 (en) Systems and methods for managing an emergency situation
US20180293872A1 (en) Method and Apparatus for Reminding Forgotten Mobile Terminal
US11272346B2 (en) Activating an emergency mode associated with a user device
US10764081B2 (en) Asynchronous communications using home automation system
WO2017049493A1 (en) Loss-prevention method, smart wristband, and terminal
CN105376414B (en) Method and device for reminding user
CN103024228A (en) Method for automatic alarm of smart phone
CN107508962B (en) Reminding method, system, terminal and storage medium for realizing no-disturbance function
CN102752454B (en) Mobile phone warning method based on voice recognition
CN111093178B (en) Anti-lost device, earphone assembly and wireless communication system
WO2014160372A1 (en) User interface for object tracking
US10074262B2 (en) Determining entry into or exit from a place while a tracking device is in the place
CN108965598A (en) Mobile terminal, voice reminding method and device of alarm clock event of mobile terminal and storage medium
KR101564347B1 (en) Terminal and method for requesting emergency relief
US20230381025A1 (en) Situational awareness, communication, and safety in hearing protection and communication systems
CN103796152A (en) Method for mobile terminal to detect dangers and apparatus
CN106453894A (en) Method for sensing whether communication device is forgotten or not
CN105979074A (en) Help seeking method based on mobile terminal and system thereof
US11722813B2 (en) Situational awareness, communication, and safety for hearing protection devices
CN103067605A (en) Mobile phone automatic connection analyzing and alarming method
CN118574103A (en) Inter-device communication method, inter-device communication system, wearable device and storage medium

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into 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: 20160210