Gait recognition method and gait evaluation system based on human body key point detection algorithm

Abstract

The invention discloses a gait recognition method and a gait evaluation system based on a human body key point detection algorithm. The method comprises the following steps: step 1, carrying out key point detection on each frame in a 3m standing walking experiment video shot by a single camera from the side surface of a human body, and extracting position change information of key points along with time so as to obtain a key point sequence; step 2, selecting a key frame for the video according to the key point sequence; wherein the key frame is used as a demarcation point of different actionsin the video; and step 3, extracting gait parameters according to the key point sequence in the video and the selected key frame. Through key point detection, key frames capable of serving as demarcation points of different actions in a video are obtained, and then gait parameter estimation is carried out. According to the method, automatic analysis is carried out by using an algorithm, and the consistency of gait evaluation is ensured.

Description

technical field [0001] The invention relates to the technical field of gait recognition, in particular to a gait recognition method and system based on a human body key point detection algorithm. Background technique [0002] Experimental studies have demonstrated that the severity of gait disturbance and its rate of progression are strongly associated with the risk of death. With the aging of the social structure, it is urgent to pay attention to the diagnosis and treatment needs of these senile diseases. Gait disturbance is very common in older adults and is a precursor to many underlying medical conditions. [0003] Gait disturbances such as slow walking can be used as the first objective clinical symptoms of many underlying cerebrovascular diseases, however, these subtle signals are easily overlooked, especially some elderly people have always believed that this is a natural manifestation of physical aging. If the recessive disease is not detected and treated in time, ...

AI Technical Summary

Problems solved by technology

Due to the use of wearable devices, this type of method imposes a heavy physical burden on the patient during the test, making it more difficult for patients with limited mobility to walk, and the resulting gait results are difficult to guarantee accuracy

In addition, the operation of this type of equipment is relatively cumbersome, requiring professional training from doctors and a high degree of cooperation from patients. Repeated operations are often required to meet the test requirements, which consumes a lot of time and energy for doctors and patients.

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