Person-based abnormal gait detection method for lateral gait video

Abstract

The invention discloses a person-based abnormal gait detection method for a lateral gait video. The lateral gait video is collected through a common camera or mobile phone; a stride change feature anda body forward lean feature of a person are extracted from the lateral gait video; a one-class support vector machine model is trained by using feature information of normal gaits; and correspondinggaits can be quickly and effectively detected to be normal or abnormal. A special detection device is not required, and the gait detection does not need to be performed in a specific place, so that the flexibility is high. The body forward lean characteristic is considered when the gait features are extracted through the gait video, and the detection capability of the abnormal gait detection modelcan be effectively prevented from being influenced by abnormal training data, so that the detection accuracy is improved. The one-class support vector machine model is trained by only adopting features of normal gait information, few training samples are required, and the gaits can be quickly and accurately detected to be normal or abnormal, so that a doctor is assisted to perform abnormal gait diagnosis, and the working efficiency of the doctor is improved.

Description

technical field [0001] The invention relates to the field of gait recognition, in particular to a method for extracting features from human side gait videos and combining with an abnormal gait detection model to realize abnormal gait detection. Background technique [0002] Gait is the walking posture of a person, and abnormal gait is an abnormal walking posture that occurs when a person's body is abnormal. Common causes of gait abnormalities include pain, central nervous system abnormalities, and musculoskeletal system injuries. There are many types of abnormal gaits, typical abnormal gaits include spastic hemiplegic gait, spastic paraplegic gait, sensory ataxia gait, panic gait, myopathy gait, transthreshold gait, hysterical gait Wait. The appearance of some typical gaits reflects the existence of characteristic diseases. By observing and analyzing abnormal gaits, patients can be diagnosed with symptoms, such as panic gait and freezing gait, which are common in patients ...

AI Technical Summary

Problems solved by technology

These methods are based on hardware equipment to analyze the patient's gait, which requires high equipment and needs to be carried out in a specific place, with low flexibility, which is not conducive to the detection of abnormal gait in daily life

Individual studies (such as the invention patent "abnormal gait detection method and abnormal gait detection system" with the application number of 2017107435559) classify normal abnormalities by extracting features from human body contours, but only consider the characteristics of changes in the stride of the lower body, and do not consider some Abnormal gaits, such as the characteristics of the upper body leaning forward in the panic gait, and the training model used are easily affected by the abnormal gait data in the training data, and cannot effectively detect a variety of abnormal gaits

Images