Human abnormal gait recognition method based on smart phone

A technology of abnormal gait recognition and smart phones, applied in the field of computer recognition, can solve the problems of inaccurate detection of abnormal gait, achieve classification and recognition, and overcome limitations
CN110299203AInactive Publication Date: 2019-10-01UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
UNIV OF ELECTRONICS SCI & TECH OF CHINA
Publication Date
2019-10-01
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a human abnormal gait recognition method based on a smart phone. According to the method, human gait data can be effectively collected through the smart phone, the related feature information of different gait types of a human body is extracted, and the classification and recognition of different abnormal gait types are achieved. The limitation of a traditional abnormal gait analysis and detection method is overcome.
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Description

technical field

[0001] The invention relates to the technical field of computer identification, in particular to a smart phone-based identification method for human abnormal gaits. Background technique

[0002] Walking is one of the most important daily activities of human beings, and gait refers to the posture when walking. Gait is a special characteristic of human beings, determined by factors such as body weight, limb length, heel, posture, and unique movements. Therefore, gait can be used as a biometric method to identify known people and classify unknown objects. Normal gait is periodic and rhythmic, and is the result of coordinated movements of the human skeletal system, nervous system, and muscular system. However, due to the influence of diseases, accidental injuries and other factors, a certain part of the human body's gait cycle is out of balance, causing walking obstacles, resulting in a decline in the body's balance function, slow movement, and even seriously af...

Claims

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