Abstract
Aiming at the problem of low accuracy of two-dimensional gait recognition at present, a gait feature recognition method based on multisource sensing information is proposed. The multisource sensing information is combined to collect the athlete’s gait characteristics, collect the single frame gait image sequence of the human lower limbs during the movement, and extract the human body’s three-dimensional feature data during human walking by using the body structure and multisource sensing information, so as to realize the separation of the athlete’s gait image background. Finally, it is confirmed by experiments that the recognition rate of athlete gait feature recognition method based on multisource sensing information is significantly improved.
Highlights
When athletes walk, everyone has different characteristics from others, so it has become a research hotspot to determine a person’s identity according to these characteristics.e current research focus is to find and extract the distinguishable and changing feature information of the corresponding individual from the continuous walking behavior image sequence for identity recognition [1]
This paper proposes a gait recognition algorithm based on multisource sensing information and makes an in-depth study on the implementation of gait recognition method
It can be seen from the table that the time spent in using the traditional automatic detection method to detect the positive kick direction is longer than that of the designed gait feature recognition method based on multisensor information, while the time spent in detecting other kick directions is longer, which is far slower than the recognition speed of the design method in this paper
Summary
Everyone has different characteristics from others, so it has become a research hotspot to determine a person’s identity according to these characteristics. E current research focus is to find and extract the distinguishable and changing feature information of the corresponding individual from the continuous walking behavior image sequence for identity recognition [1]. E ability to extract three-dimensional gait characteristics from multisource sensing data has become a critical component of effective identification. Its goal is to recognise people’s identities or identify physiological, psychiatric, and psychological features based on their walking pattern. It has a wide range of applications [2]. This paper proposes a gait recognition algorithm based on multisource sensing information and makes an in-depth study on the implementation of gait recognition method
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