CN107295382A - Personal identification method and system based on exercise attitudes - Google Patents
Personal identification method and system based on exercise attitudes Download PDFInfo
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- CN107295382A CN107295382A CN201610262062.9A CN201610262062A CN107295382A CN 107295382 A CN107295382 A CN 107295382A CN 201610262062 A CN201610262062 A CN 201610262062A CN 107295382 A CN107295382 A CN 107295382A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/41—Structure of client; Structure of client peripherals
- H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
- H04N21/42201—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS] biosensors, e.g. heat sensor for presence detection, EEG sensors or any limb activity sensors worn by the user
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program
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- Life Sciences & Earth Sciences (AREA)
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- Databases & Information Systems (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Details Of Television Systems (AREA)
Abstract
The present invention relates to TV technology, and in particular to a kind of personal identification method and system based on exercise attitudes, this method include：The one-to-one relationship of wearable device and TV user is set up, the wearable device includes motion sensor；The exercise data of correspondence user is gathered by motion sensor；Behavioural analysis is carried out to the exercise data, knows that correspondence user has the time point of exercise attitudes of viewing TV behavior；Obtain the signal intensity of key press time point and the motion sensor in the correspondence key press time point of remote control, and the user identity of current control TV is identified according to the time point of the exercise attitudes, body behavior of the present invention using user before viewing TV and in viewing TV, with reference to remote control key press time point and wearable device and TV between signal intensity, judge the current actual effector of television set, then realize that individualized content is recommended and other more individual business.
Description
Technical field
The present invention relates to TV technology, and in particular to a kind of personal identification method and system based on exercise attitudes.
Background technology
As internet content enters TV domain, the content type televised is very more, and very numerous and jumbled, and user requires a great deal of time and energy when looking for program, therefore the various recommendation applications on content emerge in an endless stream.
But for such a family's shared device of TV, kinsfolk is different for the demand of content, so simple commending contents effect is little, and if can recognize that it is currently who is seeing TV, then correlation type recommendation is done according to the viewing history of this people, then the hit rate of commending contents will be greatly improved.
In the prior art, it can be set inside some system for TV set after multi-user system, television boot-strap and to select active user for spectators there is provided an interface, but this causes user to start shooting every time will select user, it is cumbersome, and also have the possibility for selecting mistake.
Also the television set having configures multiple remote controls, kinsfolk everyone be equipped with a different remote control, different users are distinguished by different remote controls, but it can so cause the increase of television set manufacturing cost, and for user, will also result in user's family remote control increasing number, loss, mistake and take by mistake and put, when user is in the case where can not find oneself remote control, it can also take others' remote control to manipulate TV, then destroy the accuracy rate of personalized recommendation.
Also have by installing fingerprint identification module on a remote control, user presses fingerprint when picking up remote control, fingerprint then is passed into TV by wireless module, then judge it is which user, but it is high so to also result in manufacturing cost, and user is cumbersome, also has the hidden danger of fingerprint leakage.
The content of the invention
It is an object of the invention to propose a kind of personal identification method based on exercise attitudes and system, the user identity before television set is differentiated by user behavior, the commending contents of personalization are convenient for.
For up to this purpose, the present invention uses following technical scheme：
As one aspect of the present invention there is provided a kind of personal identification method based on exercise attitudes, including：
The one-to-one relationship of wearable device and TV user is set up, the wearable device includes motion sensor；
The exercise data of correspondence user is gathered by motion sensor；
Behavioural analysis is carried out to the exercise data, knows that correspondence user has the time point of exercise attitudes of viewing TV behavior；
The signal intensity of key press time point and the motion sensor in the correspondence key press time point of remote control is obtained, and the user identity for currently controlling TV is identified according to the time point of the exercise attitudes.
Alternatively, the exercise data includes rotation acceleration and the size and Orientation of linear acceleration, and the exercise attitudes include sitting down and lifting wrist.
Alternatively, by wireless signal communication between the wearable device and TV, the signal intensity of the motion sensor indicates for the intensity of television reception to the wireless signal of wearable device.
Alternatively, the key press time point and the motion sensor for obtaining remote control is corresponding to the signal intensity of the key press time point, and identifies that the user identity of current control TV includes according to the time point of the exercise attitudes：
Gather the unique identifier and exercise attitudes for all wearable devices being connected with TV；
The key press time point of continuous record television remote control, and search for the interior exercise attitudes and corresponding wearable device occurred of preset time period before and after the key press time point；
Obtain all corresponding wearable devices and occur the time point of exercise attitudes and the time difference of the key press time point；
Obtain signal intensity of all corresponding wearable devices in the key press time point；
The signal intensity of wearable device and the ratio of corresponding time difference are calculated, when ratio is maximum, then judges that the corresponding TV user of the wearable device controls the user of TV as the key press time point.
Alternatively, the wearable device is bracelet.
As another aspect of the present invention there is provided a kind of identification system based on exercise attitudes, including：Television and wearable device end, wearable device are corresponded with TV user, and the wearable device end includes：Motion sensor and transport module, the television include：Remote control, behavioural analysis module and multi-user module；Wherein,
The motion sensor, the exercise data for gathering correspondence user；
The transport module, for the signal intensity of the exercise data and the corresponding motion sensor of the exercise data to be transmitted to television；
The behavioural analysis module, behavioural analysis is carried out for receiving the exercise data and the signal intensity, and to the exercise data, knows that correspondence user has the time point of exercise attitudes of viewing TV behavior;
The multi-user module, for obtaining the signal intensity of key press time point and the motion sensor in the correspondence key press time point of remote control, and identifies the user identity for currently controlling TV according to the time point of the exercise attitudes.
Alternatively, the exercise data includes rotation acceleration and the size and Orientation of linear acceleration, and the exercise attitudes include sitting down and lifting wrist.
Alternatively, by wireless signal communication between the wearable device and TV, the signal intensity of the motion sensor indicates for the intensity of television reception to the wireless signal of wearable device.
Alternatively, the multi-user module includes：
Collecting unit, unique identifier and exercise attitudes for gathering all wearable devices being connected with TV；
Search unit is recorded, for the key press time point of continuous record television remote control, and the interior exercise attitudes and corresponding wearable device occurred of preset time period before and after the key press time point are searched for；
Computing unit, occurs the time point of exercise attitudes and the time difference of the key press time point for obtaining all corresponding wearable devices；
Acquiring unit, obtains signal intensity of all corresponding wearable devices in the key press time point；
Recognition unit, for calculating the signal intensity of wearable device and the ratio of corresponding time difference, when ratio is maximum, then judges that the corresponding TV user of the wearable device controls the user of TV as the key press time point.
Alternatively, the wearable device is bracelet.
Beneficial effects of the present invention are：A kind of personal identification method and system based on exercise attitudes, this method include：The one-to-one relationship of wearable device and TV user is set up, the wearable device includes motion sensor；The exercise data of correspondence user is gathered by motion sensor；Behavioural analysis is carried out to the exercise data, knows that correspondence user has the time point of exercise attitudes of viewing TV behavior；Obtain the signal intensity of key press time point and the motion sensor in the correspondence key press time point of remote control, and the user identity of current control TV is identified according to the time point of the exercise attitudes, body behavior of the present invention using user before viewing TV and in viewing TV, with reference to remote control key press time point and wearable device and TV between signal intensity, judge the current actual effector of television set, then realize that individualized content is recommended and other more individual business.
Brief description of the drawings
Fig. 1 is a kind of personal identification method flow chart based on exercise attitudes that the embodiment of the present invention one is provided；
Fig. 2 is the specific method flow chart of step S40 in Fig. 1；
Fig. 3 is a kind of exemplary block diagram for identification system based on exercise attitudes that the embodiment of the present invention two is provided；
Fig. 4 is the exemplary block diagram for the multi-user module that the embodiment of the present invention two is provided.
Embodiment
Technical scheme is further illustrated with reference to Fig. 1-Fig. 4 and by embodiment.
Embodiment one
Fig. 1 is a kind of personal identification method flow chart based on exercise attitudes that the present embodiment is provided.
In the present embodiment, a kind of personal identification method based on exercise attitudes, including：
S10, the one-to-one relationship for setting up wearable device and TV user, the wearable device include motion sensor；
S20, the exercise data by motion sensor collection correspondence user；
S30, to the exercise data carry out behavioural analysis, know correspondence user have viewing TV behavior exercise attitudes time point；
S40, the signal intensity of key press time point and the motion sensor in the correspondence key press time point for obtaining remote control, and the user identity for currently controlling TV is identified according to the time point of the exercise attitudes.
In the present embodiment, the body behavior using user before viewing TV and in viewing TV（Such as：By remote control, lift wrist alignment TV, sit down, stand）, with reference to remote control key press time point and wearable device and TV between signal intensity（Received Signal Strength Indicator, abbreviation RSSI）, judge the current actual effector of television set, then realize that individualized content is recommended and other more individual business.
In the present embodiment, the wearable device is bracelet, or other carry the wearable device of motion sensor, the effect of the motion sensor is exercise data and the storage for detecting TV user, the wearable device also includes transport module, for obtaining exercise data from motion sensor, and exercise data is wirelessly transferred to TV.
In the present embodiment, the exercise data includes rotation acceleration and the size and Orientation of linear acceleration, the exercise attitudes include sitting down and lifting wrist, wherein, the algorithm for analyzing exercise attitudes by exercise data can be completed using existing technology, be judged in the present embodiment from TV recently while it is that TV uses user to sit down or lift wrist posture user on the nearest time.
In the present embodiment, pass through wireless signal communication between the wearable device and TV, the signal intensity RSSI of the motion sensor is that the intensity of television reception to the wireless signal of wearable device is indicated, RSSI intensity is related to distance between the two, also it is related to shelter between the two, for televiewer, belong to unobstructed horizon grange between bracelet and television set, it is therefore assumed that, when the multiple bracelets of family are present, between television set RSSI most strong that bracelet holders be the actual effector of TV probability it is larger, but can not RSSI most powerhouses be briefly then actual beholder, its specific decision method is as described below.
As shown in Fig. 2 in the present embodiment, the step S40 is specifically included：
The unique identifier and exercise attitudes for all wearable devices that S41, collection are connected with TV；
S42, continuous record television remote control key press time point, and search for the interior exercise attitudes and corresponding wearable device occurred of preset time period before and after the key press time point；
S43, the time point and the time difference of the key press time point for obtaining all corresponding wearable devices generation exercise attitudes；
The signal intensity of S44, all corresponding wearable devices of acquisition in the key press time point；
S45, the signal intensity for calculating wearable device and the ratio of corresponding time difference, when ratio is maximum, then judge that the corresponding TV user of the wearable device controls the user of TV as the key press time point.
In the present embodiment, assuming that some kinsfolk everyone be owned by a bracelet, the facility information of coupled all bracelets, including the bracelet unique identifier corresponding with kinsfolk are collected by television, and their exercise attitudes are recorded, including sit down and lift two kinds of postures of wrist；System continuously records the key press time point of remote control, it is assumed that a certain moment T0 has button；Using T0 as starting point, preset time period before and after search T0（Such as 10 minutes）The exercise attitudes of interior generation and corresponding bracelet, it is effective trigger gesture now to detect a kind of exercise attitudes；Obtain all bracelets and occur the time point of trigger gesture and the time difference list at T0 moment：T0, t1 ..., tn, n is integer, less than or equal to the quantity of kinsfolk；And obtain the RSSI value list of each bracelet of T0 moment：RSSI0, RSSI1 ..., RSSIn；Sn=RSSIn/tn is calculated, the maximum is sought to Sn lists, it is believed that current time T0, the actual effector of TV is the corresponding kinsfolk of Sn the maximum.
Embodiment two
As shown in figure 3, in the present embodiment, a kind of identification system based on exercise attitudes, including：Television 10 and wearable device end 20, wearable device end 20 are corresponded with TV user, and the wearable device end 20 includes：Motion sensor 21 and transport module 22, the television 10 include：Remote control 11, behavioural analysis module 12 and multi-user module 13；Wherein,
The motion sensor 21, the exercise data for gathering correspondence user；
The transport module 22, for the signal intensity of the exercise data and the corresponding motion sensor of the exercise data to be transmitted to television；
The behavioural analysis module 12, behavioural analysis is carried out for receiving the exercise data and the signal intensity, and to the exercise data, knows that correspondence user has the time point of exercise attitudes of viewing TV behavior;
The multi-user module 13, for obtaining the signal intensity of key press time point and the motion sensor in the correspondence key press time point of remote control 11, and identifies the user identity for currently controlling TV according to the time point of the exercise attitudes.
In the present embodiment, the exercise data includes rotation acceleration and the size and Orientation of linear acceleration, and the exercise attitudes include sitting down and lifting wrist.
In the present embodiment, by wireless signal communication between the wearable device 20 and TV, the signal intensity of the motion sensor 21 indicates for the intensity of wireless signal of the television reception to wearable device 20.
As shown in figure 4, in the present embodiment, the multi-user module 13 includes：
Collecting unit 131, unique identifier and exercise attitudes for gathering all wearable devices 20 being connected with TV；
Search unit 132 is recorded, for the key press time point of continuous record television remote control, and the interior exercise attitudes and corresponding wearable device 20 occurred of preset time period before and after the key press time point are searched for；
Computing unit 133, occurs the time point of exercise attitudes and the time difference of the key press time point for obtaining all corresponding wearable devices 20；
Acquiring unit 134, obtains signal intensity of all corresponding wearable devices 20 in the key press time point；
Recognition unit 135, for calculating the signal intensity of wearable device 20 and the ratio of corresponding time difference, when ratio is maximum, then judges that the corresponding TV user of the wearable device 20 controls the user of TV as the key press time point.
In the present embodiment, the wearable device 20 is bracelet, or other carry the wearable device of motion sensor 21.
The embodiment of the present invention is the foregoing is only, the description is merely to explain the principles of the invention, and can not be construed to limiting the scope of the invention in any way.Based on explanation herein, those skilled in the art, which would not require any inventive effort, can associate other specific implementation methods of the present invention, and these modes are fallen within protection scope of the present invention.
Claims (10)
1. a kind of personal identification method based on exercise attitudes, it is characterised in that including：
The one-to-one relationship of wearable device and TV user is set up, the wearable device includes motion sensor；
The exercise data of correspondence user is gathered by the motion sensor；
Behavioural analysis is carried out to the exercise data, knows that correspondence user has the time point of exercise attitudes of viewing TV behavior；
The signal intensity of key press time point and the motion sensor in the correspondence key press time point of remote control is obtained, and the user identity for currently controlling TV is identified according to the time point of the exercise attitudes.
2. the personal identification method according to claim 1 based on exercise attitudes, it is characterised in that the exercise data includes rotation acceleration and the size and Orientation of linear acceleration, the exercise attitudes include sitting down and lifting wrist.
3. the personal identification method according to claim 2 based on exercise attitudes, it is characterized in that, by wireless signal communication between the wearable device and TV, the signal intensity of the motion sensor indicates for the intensity of television reception to the wireless signal of wearable device.
4. the personal identification method according to claim 3 based on exercise attitudes, it is characterized in that, the key press time point and the motion sensor for obtaining remote control is corresponding to the signal intensity of the key press time point, and identifies that the user identity of current control TV includes according to the time point of the exercise attitudes：
Gather the unique identifier and exercise attitudes for all wearable devices being connected with TV；
The key press time point of continuous record television remote control, and search for the interior exercise attitudes and corresponding wearable device occurred of preset time period before and after the key press time point；
Obtain all corresponding wearable devices and occur the time point of exercise attitudes and the time difference of the key press time point；
Obtain signal intensity of all corresponding wearable devices in the key press time point；
The signal intensity of wearable device and the ratio of corresponding time difference are calculated, when ratio is maximum, then judges that the corresponding TV user of the wearable device controls the user of TV as the key press time point.
5. the personal identification method according to claim 1 based on exercise attitudes, it is characterised in that the wearable device is bracelet.
6. a kind of identification system based on exercise attitudes, it is characterised in that including：Television and wearable device end, wearable device are corresponded with TV user, and the wearable device end includes：Motion sensor and transport module, the television include：Remote control, behavioural analysis module and multi-user module；Wherein,
The motion sensor, the exercise data for gathering correspondence user；
The transport module, for the signal intensity of the exercise data and the corresponding motion sensor of the exercise data to be transmitted to television；
The behavioural analysis module, behavioural analysis is carried out for receiving the exercise data and the signal intensity, and to the exercise data, knows that correspondence user has the time point of exercise attitudes of viewing TV behavior;
The multi-user module, for obtaining the signal intensity of key press time point and the motion sensor in the correspondence key press time point of remote control, and identifies the user identity for currently controlling TV according to the time point of the exercise attitudes.
7. the identification system according to claim 6 based on exercise attitudes, it is characterised in that the exercise data includes rotation acceleration and the size and Orientation of linear acceleration, the exercise attitudes include sitting down and lifting wrist.
8. the identification system according to claim 7 based on exercise attitudes, it is characterized in that, by wireless signal communication between the wearable device and TV, the signal intensity of the motion sensor indicates for the intensity of television reception to the wireless signal of wearable device.
9. the identification system according to claim 8 based on exercise attitudes, it is characterised in that the multi-user module includes：
Collecting unit, unique identifier and exercise attitudes for gathering all wearable devices being connected with TV；
Search unit is recorded, for the key press time point of continuous record television remote control, and the interior exercise attitudes and corresponding wearable device occurred of preset time period before and after the key press time point are searched for；
Computing unit, occurs the time point of exercise attitudes and the time difference of the key press time point for obtaining all corresponding wearable devices；
Acquiring unit, obtains signal intensity of all corresponding wearable devices in the key press time point；
Recognition unit, for calculating the signal intensity of wearable device and the ratio of corresponding time difference, when ratio is maximum, then judges that the corresponding TV user of the wearable device controls the user of TV as the key press time point.
10. the identification system according to claim 6 based on exercise attitudes, it is characterised in that the wearable device is bracelet.
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| CN201610262062.9A CN107295382B (en) | 2016-04-25 | 2016-04-25 | Personal identification method and system based on movement posture |
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| CN201610262062.9A CN107295382B (en) | 2016-04-25 | 2016-04-25 | Personal identification method and system based on movement posture |
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| CN111010320A (en) * | 2019-10-17 | 2020-04-14 | 珠海格力电器股份有限公司 | Control device of voice equipment, voice interaction method and device and electronic equipment |
| CN111079116A (en) * | 2019-12-29 | 2020-04-28 | 钟艳平 | Identity recognition method and device based on simulation cockpit and computer equipment |
| CN114143607A (en) * | 2020-09-03 | 2022-03-04 | 惠州视维新技术有限公司 | Information recommendation method, storage medium and smart television |
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| CN107295382B (en) | 2019-08-27 |
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