Method of converting gesture recognition to identification recognition on the basis of feature transfer learning

A gesture recognition and identity recognition technology, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve the problem of not considering user identity information, and achieve the purpose of shortening user identity recognition time, improving performance and wide application prospects. Effect

Active Publication Date: 2018-12-07
ANHUI UNIVERSITY OF TECHNOLOGY
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AI Technical Summary

Problems solved by technology

This application adopts the method of incremental learning to identify the user's touch screen gesture habit to transparently authenticate the owner of the smartphone, which ensures the security of the authentication process, but the application also does not consider the user identity information contained in the gesture, although It has been able to meet the requirements of mobile phone user authentication, but there are still relatively large limitations in terms of the overall scheme

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  • Method of converting gesture recognition to identification recognition on the basis of feature transfer learning
  • Method of converting gesture recognition to identification recognition on the basis of feature transfer learning
  • Method of converting gesture recognition to identification recognition on the basis of feature transfer learning

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Embodiment 1

[0049] combine figure 1 A method for converting gesture recognition to identity recognition based on feature transfer learning in this embodiment specifically includes the following steps:

[0050] Step 1. Create a gesture training set that includes both gesture type labels and user identity labels. The specific steps are as follows figure 2 As shown, namely:

[0051] The Microsoft Kinect v2 sensor is used to collect the user's dynamic gesture data, capture the three-dimensional position (x, y, z) sequence of 25 joints of the user's whole body, and obtain the joint data samples corresponding to the dynamic gesture. Among them, the 25 joints of the whole body are as follows: the end of the spine, the center of the spine, the neck, the head, the left shoulder, the left elbow, the left wrist, the left hand, the right shoulder, the right elbow, the right wrist, the right hand, the left hip, the left knee, the left ankle, the left Foot, right hip, right knee, right ankle, right ...

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Abstract

The invention discloses a method of converting gesture recognition to identification recognition on the basis of feature transfer learning, belonging to the technical field of pattern recognition andbiometric recognition. The method includes the following main steps: step 1, making a gesture training set including both a gesture type tag and a user identity tag; step 2, constructing a gesture recognition network and a feature transfer network model; step 3, training the gesture recognition network on the basis of the made data set; step 4, training the feature transfer network model on the basis of the made data set; step 5, inputting a dynamic gesture on the basis of parameters of the learned feature transfer network model, and verifying a corresponding user identity. The invention provides a gesture recognition network based on a two-way threshold circulating network, adopts the feature transfer network to convert gesture recognition into identity recognition, and has a wide application prospect in the field of information security, medical dust prevention and the like.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition and biological recognition, and more specifically relates to a method for converting gesture recognition to identity recognition based on feature transfer learning. Background technique [0002] With the rapid development of science and technology and information, social security and information security have shown unprecedented importance, and people urgently need some fast and effective identification technology as a security guarantee. According to the source of information, the existing identification technology can be divided into cryptographic technology based on password or mark and biometric technology based on biometric features. [0003] The password-based identification method judges the current user's login authority by identifying a set of user name-password combinations preset by the user, such as the login of electronic accounts such as mailboxes, WeChat, and blogs; the ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V40/28G06N3/045G06F18/214
Inventor 刘恒戴亮亮
Owner ANHUI UNIVERSITY OF TECHNOLOGY
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