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User identification method based on multi-axis force platform gait analysis

A user identification and user identification technology, applied in the field of user identification based on multi-axis force platform gait analysis, to achieve the effects of high classification accuracy, improved accuracy, and short data training time

Inactive Publication Date: 2016-02-24
LISHUI UNIV
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Problems solved by technology

Generally speaking, these identification methods are just some efforts and have not been able to enter the practical application

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  • User identification method based on multi-axis force platform gait analysis
  • User identification method based on multi-axis force platform gait analysis

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Embodiment Construction

[0021] The following description serves to disclose the present invention to enable those skilled in the art to carry out the present invention. The preferred embodiments described below are only examples, and those skilled in the art can devise other obvious variations.

[0022] A user identification method based on AMTI multi-axis force platform gait analysis, including two stages of offline user identity feature database establishment and online user identity real-time identification.

[0023] Phase 1. The offline user identity database is established. The steps are as follows: figure 1 shown, including:

[0024] Step 1, user gait data and foot force data collection: the user stands on two AMTI multi-axis force platform boards placed side by side, and completes one step in situ; the Microsoft KinectRGBD camera placed directly in front of the user automatically collects user , and record the three-dimensional trajectory data and movement duration of the user's hip, left an...

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Abstract

The present invention provides a user identification method based on multi-axis force platform gait analysis. The method comprises: a, establishing an offline user identity feature library; and b, identifying an identity of an online user in real time. The step a comprises the following steps of: a1, collecting foot stress data of the user in motion by using a multi-axis force platform, and subsuming the data in the identity feature library or using the data for establishing a new feature library; and a2, collecting track data and duration data of the user in motion by using an imaging device, and subsuming the data in the feature library or using the data for establishing a new feature library. The step b comprises the following steps of: b1, collecting foot stress data of the user in motion by using the multi-axis force platform, and comparing the data with the data in the feature library; b2, collecting track data and duration data of the user in motion by using the imaging device, and comparing the data with the data in the feature library; and b3, after comparing comparison results with a preset threshold, outputting an identification result. According to the present invention, accuracy of user identification is significantly improved by collecting user motion and mechanical data.

Description

technical field [0001] The invention belongs to the technical field of user identification, and in particular relates to a user identification method based on multi-axis force platform gait analysis. Background technique [0002] Security issues are closely related to people's daily work and life. With the continuous expansion of people's daily work and life, the importance of user identification has become increasingly prominent. As the foundation of the security system, user identification is crucial to effectively guarantee the security of access. [0003] User identification technology was born along with the birth of information technology. Traditional user identification methods include methods based on passwords and methods based on smart cards, which have played and are playing a very important role in daily life. However, because passwords are easily forgotten and smart cards are easy to lose, legitimate users are often excluded, and even obtained maliciously, lea...

Claims

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Application Information

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IPC IPC(8): G06F21/32G06K9/00G06K9/62
CPCG06F21/32G06V40/25G06F18/2411
Inventor 潘巧明胡伟俭刘江万华根
Owner LISHUI UNIV
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