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Shumpei Yamakawa

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Publications by Shumpei Yamakawa (bibliography)

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2012
 
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Yamakawa, Shumpei and Nojima, Takuya (2012): A proposal for a MMG-based hand gesture recognition method. In: Adjunct Proceedings of the 2012 ACM Symposium on User Interface Software and Technology 2012. pp. 89-90.

We propose a novel hand-gesture recognition method based on mechanomyograms (MMGs). Skeletal muscles generate sounds specific to their activity. By recording and analyzing these sounds, MMGs provide means to evaluate the activity. Previous research revealed that specific motions produce specific sounds enabling human motion to be classified based on MMGs. In that research, microphones and accelerometers are often used to record muscle sounds. However, environmental conditions such as noise and human motion itself easily overwhelm such sensors. In this paper, we propose to use piezoelectric-based sensing of MMGs to improve robustness from environmental conditions. The preliminary evaluation shows this method is capable of classifying several hand gestures correctly with high accuracy under certain situations.

© All rights reserved Yamakawa and Nojima and/or ACM Press

 
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May 20

The moment clients realize that revisions are not an all-you-can-eat buffet, suddenly they realize they are not hungry.

-- Lester Beall

 
 

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Read the fascinating history of Wearable Computing, told by its father, Steve Mann

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