An EMG‐controlled omnidirectional pointing device
Osamu Fukuda, Jun Arita, Toshio Tsuji · Systems and Computers in Japan · 2006
Abstract This research paper proposes an omnidirectional pointing device that uses EMG signals. Since this device does not keep the user in front of the mouse or keyboard, there are expectations for its use as an input device for a wearable computer, and other equipment. A Recurrent Log‐Linearized Gaussian Mixture Network is introduced in order to make use of the time series characteristics of EMG signals. This neural net is configured based on the hidden Markov model, which is a dynamic probability model, and infinitely many movement directions of a pointer can be expressed as combinations of probabilities of movement in preset reference directions. As a result of a verification experiment, it was confirmed that the pointer could be controlled with good precision. The effectiveness of the proposed method was confirmed by comparative experimentation with conventional methods. © 2006 Wiley Periodicals, Inc. Syst Comp Jpn, 37(4): 55–63, 2006; Published online in Wiley InterScience ( www.interscience.wiley. com ). DOI 10.1002/scj.20401