Skeleton-based abnormal gait recognition: a survey

被引:0
|
作者
Tian H.-Y. [1 ]
Ma X. [1 ]
Li Y.-B. [1 ]
机构
[1] School of Control Science and Engineering, Shandong University, Jinan
关键词
Abnormal gait recognition; Abnormal gait skeleton database; Artificial intelligence; Kinect; Pathological abnormal gait;
D O I
10.13229/j.cnki.jdxbgxb20210088
中图分类号
学科分类号
摘要
The optical motion capture systems are extremely expensive for abnormal gait analysis, and the Kinect is a potential alternative equipment for its low⁃cost and convenience. The development of abnormal gait analysis is reviewed from four aspects: pathological characteristics of abnormal gait, abnormal gait data set, reliability of Kinect, and abnormal gait recognition method. Firstly, the abnormal gait and its pathological characteristics were summarized, and the common gait features and gait events in gait analysis were introduced. Then, the abnormal gait data sets collected by Kinect, wearable and pressure sensors are introduced. The feasibility of skeleton data collected by Kinect in gait analysis is discussed according to the existing experimental studies to verify the reliability of Kinect. Finally, the development of gait analysis is reviewed in detail from two aspects of abnormal gait feature extraction and abnormal gait classifier, and the shortcomings and development direction of current research are pointed out in practical application. © 2022, Jilin University Press. All right reserved.
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页码:725 / 737
页数:12
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