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Conference Paper A new means of HCI: EMG-MOUSE
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Authors
Jong-Sung Kim, Huyk Jeong, Wookho Son
Issue Date
2004-10
Citation
International Conference on Systems, Man and Cybernetics (SMC) 2004, pp.100-104
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICSMC.2004.1398280
Abstract
EMGs are a natural means of HCI because the electrical activity induced by the human's arm muscle movements can be interpreted to be used as computer's control commands. In this paper, we present an on-line EMG-MOUSE system that controls movements of a cursor, which are interpretations of 6 predefined wrist motions: up, down, left, right, click, and rest. To emphasize a wearability, we designed the hardware in a way that electrodes are located on a circular arm-band which wraps around the forearm. The prototype hardware device has as integrated parts both the EMG electrodes and an amplifier magnifying EMG signals, without using adhesive to attach the electrodes, on the forearm. A Fuzzy Min-Max Neural Network (FMM") was used as a classifier. Also, stochastic values such as integral absolute value were used as features for an appropriate classification of the intended wrist motions. From our experiments, we could observe that six distinctive wrist motions can be classified well, once the patterns are learned.
KSP Keywords
Absolute value, EMG electrodes, EMG signals, Fuzzy min-max neural networks(FMMNN), electrical activity, on-line