Abstract
With the development of human computer interaction technology, the computer virtual reality technology makes people’s body language signals by simulating the human body language and other natural means of communication, so as to drive instruction of human-computer interaction. Therefore, demand for such a natural and harmonious interaction, the voice, face, gesture recognition is an important issue, identify the effect of experience is critical for interactive applications. The paper presents the forearm rehabilitation system based on vision-based gesture recognition, including pre-processing of images collected by the camera, gesture segmentation based on skin color information, gesture recognition based on hand shape feature. This system can effectively extract the gesture area, combined with the capture sphere of action to achieve rehabilitation exercise on the forearm.
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Acknowledgment
This study was supported by the Science and Technology of Jilin province development plan projects with grants No. 20170204023GX, the Education Department of Jilin Province with grants No. 2016292, No. JJKH20170496KJ, the spring plan of Ministry of Education with grants Z2016013.
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Zhu, D., Li, Z., Huang, K., Reika, S. (2018). Design and Implementation of the Forearm Rehabilitation System Based on Gesture Recognition. In: Zhou, Q., Miao, Q., Wang, H., Xie, W., Wang, Y., Lu, Z. (eds) Data Science. ICPCSEE 2018. Communications in Computer and Information Science, vol 902. Springer, Singapore. https://doi.org/10.1007/978-981-13-2206-8_27
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DOI: https://doi.org/10.1007/978-981-13-2206-8_27
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