Development of Human Action Feature Recognition Using Sensors

Zhiqin Zheng, Tao Pan and Yawei Song

Human action recognition has a widespread application in medical health, human-machine interaction, sports competition and similar. In this study, the authors used the literature review method to introduce the standard sensors and corresponding methods used for motion data collection and briefly described the general techniques for motion data preprocessing. Also, introduced the process for extracting features of motion data and pointed out the research status of standard feature recognition methods as well as briefly described their application status. Finally, the current problems related to the recognition features were discussed as well as those related to future development. The future development may focus on hardware system optimization, model optimization and personalized recognition.

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