Abnormal gait detection method based on human side gait video

A gait detection and gait technology, which is applied in the directions of instruments, calculations, characters and pattern recognition, etc., can solve problems such as low flexibility, no consideration of upper body leaning forward, unfavorable abnormal gait detection in daily life, etc.
CN108416276BActive Publication Date: 2022-05-24ZHEJIANG UNIV
12 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHEJIANG UNIV
Publication Date
2022-05-24

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses an abnormal gait detection method based on the side gait video of a person. The side gait video is collected by a common ordinary camera or a mobile phone, and the characteristics of a person's stride change and body forward are extracted from the video, and the normal The characteristic information of gait trains a single classification support vector machine model, which can quickly and effectively detect whether the corresponding gait is normal or abnormal. The invention does not need special detection equipment, does not need to perform gait detection in a specific place, and has high flexibility. The present invention considers the characteristics of body leaning forward when extracting gait features from gait videos, and can effectively prevent the detection ability of the abnormal gait detection model from being affected by abnormal training data, thereby improving the detection accuracy. The present invention only needs to use the characteristics of normal gait information to train a single-category support vector machine model, has few training samples, and can quickly and accurately detect normal / abnormal gait, thereby assisting doctors in the diagnosis of abnormal gait and improving the work efficiency of doctors.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the field of gait recognition, in particular to a method for extracting features from a human side gait video and combining 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 the abnormal walking posture that occurs when a person's body is abnormal. Common causes of abnormal gait include pain, central nervous system abnormalities, and musculoskeletal injuries. There are many types of abnormal gaits. Typical abnormal gaits include spastic hemiplegic gait, spastic paraplegic gait, sensory ataxia gait, panic gait, myopathic gait, cross-threshold gait, and hysterical gait. Wait. The appearance of some typical gaits reflects the existence of characteristic diseases. By observing and analyzing abnormal gaits, symptoms can be diagnosed in patients, such as panic gait and freezing gait common in patients with Parkinson's dise...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More