Compact, configurable inertial gesture recognition

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Abstract
We describe an inertial gesture recognition framework composed of three parts. The first is a compact, six-axis inertial measurement unit to fully measure human motion. The data from this unit is then analyzed by a gesture recognition algorithm which considers data on an axis-by-axis basis and categorizes them as simple motions (line, twist, etc.) with magnitude and duration. An application designer can then combine these atoms together both concurrently and consecutively to create composite gestures which can be tied to output routines. The framework was implemented on a Palm III to demonstrate its light-weight nature and to evoke devices which possess both a sense of their own motion and the ability to respond to it

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