Zhen Wang, Bei Wang, Xingyu Wang
Department of Automation, School of Information Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China Key Laboratory of Advanced Control and Optimization for Chemical Processes,(East China University of Science and Technology), Ministry of Education, Shanghai, 200237, China.
DOI: 10.4236/eng.2013.510B036   PDF    HTML     7,075 Downloads   8,596 Views   Citations

Abstract

The human-computer interaction (HCI) is now playing a great role in computer technology. This study introduces an automatic document control technique which is based on the human hand waving movements. The recognition of hand movement is realized according to the surface electromyography (sEMG). A collector is set on the forearm. The sEMG signal is recorded and conveyed to a PC terminal by using wireless Zigbee. An automatic algorithm is developed in order to extract the characteristics of sEMG, recognize the waving movements, and transmit to document control command. The developed human-computer interaction technique can be used as a new gallery for teaching, as well as an assistant tool for disabled person.

Keywords

Surface Electromyography; Human-Computer Interaction; Zigbee; Document Control

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Conflicts of Interest

The authors declare no conflicts of interest.

References

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