Author(s)

Wenlu Yang ¹, Ying Peng ¹, Hong Xie ¹

Affiliation(s)

¹ College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China

Corresponding Author

ABSTRACT

With the development of science and technology, human motion recognition technology is widely used in rehabilitation medicine, artificial intelligence, somatosensory games and many other fields. More and more scholars have carried out in-depth research on how to improve the accuracy of human motion recognition.This paper systematically reviews the methods of human motion recognition based on Kinect, summarizes the accuracy of these methods, compares the advantages and disadvantages, summarizes the performance of each method, and provides reasonable suggestions for researchers with different needs.

KEYWORDS

CITE THIS PAPER

Wenlu Yang, Ying Peng, Hong Xie, Action Recognition Based on Kinect Deep Learning. Journal of Electronics and Information Science (2022) Vol. 7: 43-47. DOI: http://dx.doi.org/10.23977/jeis.2022.070107.

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