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L. Vigon, M. R. Saatchi, J. E. W. Mayhew and R. Fernandes, “Quantitative Evaluation of Techniques for Ocular Artefact Filtering of EEG Waveforms,” IEE Proceedings of Science, Measurement and Technology, Vol. 147, No. 5, 2000, pp. 219-228. http://dx.doi.org/10.1049/ip-smt:20000475

has been cited by the following article:

• TITLE: Design of Real-Time Document Control Based on Zigbee and Surface Electromyography (sEMG)

  AUTHORS: Zhen Wang, Bei Wang, Xingyu Wang

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

  JOURNAL NAME: Engineering, Vol.5 No.10B, October 30, 2013

  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.