Gait identity identification method and system thereof

Abstract

The invention provides a gait identification method and a system thereof. The method is characterized by extracting a behavior characteristic, a position characteristic and a gait characteristic from acceleration data acquired from intelligent terminal carried by a user; using a pre-trained behavior identification model to identify a current user behavior according to the behavior characteristic; using a pre-trained position identification model to identify a current position of the intelligent terminal according to the position characteristic and the identified current user behavior; and using a pre-trained gait identification model to identify a user identity according to the gait characteristic, the identified current user behavior and the current position of the intelligent terminal. In the method, through a layered progressive identification mode, accuracy and robustness of gait identity identification are increased, a correlation sensor placing position and a direction do not need to be limited, and the method and the system are flexible and are convenient to use.

Description

technical field [0001] The invention belongs to the fields of human-computer interaction, pattern recognition and pervasive computing, and in particular relates to an identity recognition method based on gait analysis. Background technique [0002] In recent years, with the popularity of smart terminal devices, especially smart phones, the security of user privacy data and payment environments in smart phone devices has attracted more and more attention. Traditional identity verification mainly uses such as password, voice, fingerprint, iris or face. These methods cooperate with each other to protect the user's private information very well, but these methods require explicit operations by the user or have special requirements for the device and environment. As human-computer interaction becomes more complex, user experience is degraded. In order to improve user experience, many APPs in smartphones provide functions such as remembering passwords or automatic login, which i...

AI Technical Summary

Problems solved by technology

However, the accuracy of existing smart phone-based gait identification is affected by factors such as the position and orientation of the mobile phone. For example, the mobile phone needs to be placed in a specific position (such as the waist); the orientation of the mobile phone is also restricted. Wait

This greatly limits the application and development of gait identification in mobile phone risk control. Therefore, it is of great significance to use the equipment in the mobile phone reasonably and effectively for gait analysis.

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