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External research report . 2011
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Gesture Recognition Wristband

Authors: Kolbeck, Carter; Wilkinson, Brad;

Gesture Recognition Wristband

Abstract

This system demonstrates the feasibility of recognizing hand gestures by optically measuring the motion of forearm tendons. When a person moves his or her fingers (performs a gesture), there is a corresponding motion in the tendons of the wrist. Infrared sensors placed on the wrist detect this motion; the sensor output is digitized and sent wirelessly to a nearby computer. The computer processes the data and uses pattern recognition techniques to determine the gesture performed (i.e., which fingers the person has moved). Student yes

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green