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Quantitative evaluation of feeling in switch-pressing motion based on human biometric information

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5 Author(s)

This paper proposes a new evaluation method of feeling in switch-pressing motion based on the surface electromyogram (sEMG) signals. We introduce a hypothesis that one always predicts a necessary strength when exerting onepsilas strength to act on an object and some moderate differences between the predicted force and the result would lead to a sense of comfort. In order to validate the hypothesis, a series of experiments are conducted on switch-pressing motion and corresponding feeling. First, the predicted muscular force is estimated from sEMG which reflects our intension. Second, we derive the difference between the predicted muscular force and the actual reactive force of the switch (variation of difference from prediction - stroke pattern; D-S pattern). Finally, we evaluate the feeling evoked by the switch-pressing motion based on the D-S pattern. Experimental results show correlativity between evaluation by our proposed method and subjective evaluation, and validate our working hypothesis that some moderate differences between the prediction and the result would lead to a sense of comfort.

Published in:

Robot and Human Interactive Communication, 2008. RO-MAN 2008. The 17th IEEE International Symposium on

Date of Conference:

1-3 Aug. 2008