Implicit identity authentication method based on gait features
An identity authentication and gait feature technology, applied in digital data authentication, neural learning methods, character and pattern recognition, etc. The effect of authentication accuracy and rich data sources
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[0070] The present invention will be further described in detail below with reference to the accompanying drawings and examples.
[0071] This embodiment takes the acquired gait data of 35 users in the scenarios of walking, going upstairs, and going downstairs as an example to describe the implicit identity authentication method based on gait features proposed by the present invention. The overall framework is as follows: figure 1 shown.
[0072] Step (1) Collect motion sensor data of N users, and construct a labeled gait sequence set S for training the model, as follows:
[0073] Considering the built-in accelerometer, gyroscope, magnetometer and direction meter of the mobile phone as the input data source, the accelerometer signal of the i-th user is expressed as N (N=35 in this embodiment) represents the number of users, where is the dimension of 1×L i vector of , acc i is the dimension L i ×3 matrix, L i Collection duration d by the user i (The sampling duration i...
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