Abstract
We describe an inertial gesture recognition framework composed of three parts. The first is a compact, wireless six-axis inertial measurement unit to fully capture three-dimensional motion. The second, a gesture recognition algorithm, analyzes the data and categorizes it on an axis-by-axis basis as simple motions (straight line, twist, etc.) with magnitude and duration. The third allows an application designer to combine recognized gestures both concurrently and consecutively to create specific composite gestures can then be set to trigger output routines. This framework was created to enable application designers to use inertial sensors with a minimum of knowledge and effort. Sample implementations and future directions are discussed.
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Benbasat, A.Y., Paradiso, J.A. (2002). An Inertial Measurement Framework for Gesture Recognition and Applications. In: Wachsmuth, I., Sowa, T. (eds) Gesture and Sign Language in Human-Computer Interaction. GW 2001. Lecture Notes in Computer Science(), vol 2298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47873-6_2
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DOI: https://doi.org/10.1007/3-540-47873-6_2
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