Accelerometer Based Gesture Recognition |
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by Nathan Davis and Shaun Foley |
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Abstract |
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Traditional computer input is mouse and keyboard driven. While
often suitable, many applications can benefit from less
structured input. Our project accomplishes this by mounting
multiple accelerometers on both hands. This offers many degrees
of freedom with respect to user actions, but requires
interpretation thereof to map movements to concrete
functionality. We employ a tiered scheme. The acquisition
layer does basic shape detection of lines and arcs, and passes it
to the interpretation layer. There, sequences of shapes are
mapped to specific functions. We implement a user interface
demonstrating these capabilities.
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Links To Files |
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