Motion posture-based identity recognition method and system

Abstract

The present invention relates to the technical field of televisions, and particularly relates to a motion posture-based identity recognition method and a system. The method comprises the steps of establishing the one-to-one correspondence between wearable devices and television users, wherein each wearable device comprises a motion sensor; collecting the motion data of a corresponding user by the motion sensor; analyzing the behavior of the motion data to obtain the time point of the corresponding user in making the motion posture of watching the television; acquiring the time point of the user in pressing a remote controller and the corresponding signal strength of the motion sensor at the above time point; according to the time point of the motion posture, recognizing the identity of the user who is currently controlling the above television. According to the invention, according to the body behaviors of users before the television watching process and during the television watching process, an actual person who is currently controlling the television can be figured out in combination with the keying time point of a remote controller and the signal strength between the wearable device and the television. Furthermore, the content recommendation and other more personalized services are realized.

Description

technical field [0001] The present invention relates to the field of television technology, in particular to an identity recognition method and system based on motion gestures. Background technique [0002] As Internet content enters the TV field, there are many types of content broadcast on TV, and it is very complicated. Users need to spend a lot of time and energy when searching for programs. Therefore, various content recommendation applications emerge in endlessly. [0003] However, for a family public device such as TV, family members have different needs for content, so simple content recommendation is not effective. Related types of recommendations, then the hit rate of content recommendations will be greatly improved. [0004] In the prior art, some TV systems are equipped with a multi-user system. After the TV is turned on, an interface is provided for the viewer to select the current user. possibility of error. [0005] There are also TV sets with multiple remo...

AI Technical Summary

Problems solved by technology

[0003] However, for a family public device such as TV, family members have different needs for content, so simple content recommendation is not effective. Related types of recommendations, then the hit rate of content recommendations will be greatly improved

[0004] In the prior art, some TV systems are equipped with a multi-user system. After the TV is turned on, an interface is provided for the viewer to select the current user. possibility of error

[0005] There are also TV sets with multiple remote controls, and each family member is equipped with a different remote control, and different users are distinguished by different remote controls, but this will lead to an increase in the manufacturing cost of the TV set, and for users , It will also cause the number of remote controllers in the user's home to increase, lost, misplaced, and when the user cannot find their own remote controller, they will use other people's remote controllers to control the TV, thereby destroying the accuracy of personalized recommendations.

[0006] There is also a fingerprint identification module installed on the remote control, the user presses the fingerprint when picking up the remote control, and then transmits the fingerprint to the TV through the wireless module, and then determines which user it is, but this will also lead to high manufacturing costs and the user The operation is cumbersome, and there will be hidden dangers of fingerprint leakage

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