Application of Kinect Technology in Blind Aerobics Learning

Authors

  • Hui Qu Hunan Institute of Engineering

DOI:

https://doi.org/10.3991/ijet.v12i12.7960

Keywords:

Kinect, Human-Computer Interaction, Posture Recognition, Occlusion Information Restoration, Blind Aerobics

Abstract


In order for blind people to learn aerobics more conveniently, we combined Kinect skeletal tracking technology with aerobics-assisted training to design a Kinect-based aerobics-assisted training system. Through the Kinect somatosensory camera, the feature extraction method and recognition algorithm of sign language are improved, and the sign language recognition system is realized. Sign language is translated through the sign language recognition system and expressed in understandable terms, providing a sound way of learning. The experimental results show that the system can automatically collect and recognize the aerobics movements. By comparing with the standard movements in the database, the system evaluates the posture of trainers from the perspectives of joint coordinates and joint angles, followed by the provision of movements contrast graphics and corresponding advice. Therefore, the system can effectively help the blind to learn aerobics.

Author Biography

Hui Qu, Hunan Institute of Engineering

Hui Qu is from Hunan Institute of Engineering.

Downloads

Published

2017-12-20

How to Cite

Qu, H. (2017). Application of Kinect Technology in Blind Aerobics Learning. International Journal of Emerging Technologies in Learning (iJET), 12(12), pp. 103–111. https://doi.org/10.3991/ijet.v12i12.7960

Issue

Section

Papers