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Gait recognition method based on visual and touch fusion based on feature fusion

A technology of gait recognition and feature fusion, applied in character and pattern recognition, instruments, measuring force, etc., can solve problems such as the accuracy rate needs to be improved, and achieve the effects of reducing instability, improving data accuracy, and good discrimination ability

Active Publication Date: 2022-04-12
HEBEI UNIV OF TECH
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Problems solved by technology

The literature "Research on Gait Recognition Method Based on Visual-Tactile Multi-Feature Fusion" takes a single lower limb of the human body as the research object, selects the joint angle of the lower limb and the extreme value of plantar pressure as the characteristic data, and performs feature fusion through the BP neural network. needs improvement

Method used

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  • Gait recognition method based on visual and touch fusion based on feature fusion
  • Gait recognition method based on visual and touch fusion based on feature fusion
  • Gait recognition method based on visual and touch fusion based on feature fusion

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Embodiment

[0106] This embodiment provides a visual-touch fusion gait recognition method based on feature fusion (recognition method for short, see Figure 1-6 ), the experimental data collection platform that this recognition method adopts comprises the video camera 2 of computer 1, Kinect system and Walkway footpath type plantar pressure tester 3; The built-in data acquisition and processing system of the Walkway foot pressure tester; the camera 2 is used to collect images of the human body when walking, that is, gait visual information; the Walkway foot pressure tester is used to collect the soles of the feet when walking Pressure data, that is, gait tactile information;

[0107] When installing the experimental data acquisition platform, the optimum height between the camera 2 and the ground is 1.6m, and the optimum horizontal distance between the camera 2 and the Walkway plantar pressure tester 3 is 2m; The silhouette of the human body is completely within the acquisition area of ​...

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Abstract

The present invention is a visual-tactile fusion gait recognition method based on feature fusion. The recognition method includes the following contents: acquiring visual data and tactile data; The tactile sense divides the gait cycle according to the plantar pressure value of 0 and the vision according to the heel-ground and toe-off conditions, and extracts the visual and tactile features of the same gait cycle; the visual and tactile time registration, time registration After calibration, the visual and tactile data in the same time slice are obtained; the tactile data is filled with the cubic Lagrangian interpolation method: after the data is filled, the visual and tactile feature data corresponding to all segmentation points are selected, and the two are integrated in the Together, the visual-tactile fusion feature F is formed to complete the feature fusion; the fused visual-tactile fusion feature F is input into the classifier to realize gait recognition. This method can improve the recognition accuracy of gait recognition.

Description

technical field [0001] The invention relates to the technical field of gait recognition, in particular to a gait recognition method based on feature fusion and visual-touch fusion. Background technique [0002] Biometric identification is a technology for identification or verification based on human physiological or behavioral characteristics. Among them, gait recognition is an emerging biometric recognition technology, which can carry out individual recognition according to people's walking posture. Compared with other biometrics (fingerprint, face, iris, etc.), gait recognition has significant advantages such as long-distance, non-contact, and non-invasive. Therefore, gait recognition has received extensive attention in the fields of surveillance, access control, and criminal investigation. [0003] Vision-based gait features are all extended studies based on human body contour maps. Although they contain a lot of gait information, they do not embed any motion or dynami...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/20G06V10/80G06V10/764G06V10/62G01L1/00
CPCG01L1/00G06V40/25G06F18/2411G06F18/253
Inventor 戴士杰霍云蕊李慨李昱徐立奎
Owner HEBEI UNIV OF TECH
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