Systems and methods for motion recognition using multiple...

Data processing: artificial intelligence – Adaptive system

Reexamination Certificate

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Reexamination Certificate

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08041659

ABSTRACT:
Techniques for motion recognition using multiple data streams are disclosed. Multiple data streams from inertia sensors as well as non-inertial sensors are received to derive a motion recognition signal from motion recognizers. These motion recognizers are originally constructed from a training set of motion signals and may be updated with received multiple sensing signals. In one aspect, multiple data streams are converted to device-independent motion signals that are applied with the motion recognizers to provide a generalized motion recognition capability.

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Eisenstein, Jacob et al “Device Independence and Extensibility in Gesture Recognition” Proceedings of the IEEE Virtual Reality 2003. p. 1-8. [Online] Downloaded May 19, 2011. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1191141.
Su, Mu-Chun. “A Fuzzy Rule-Based Approach to Spatio Temporal Hand Gesture Recognition” IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews, vol. 30, No. 2, May 2000. [Online] Downloaded May 19, 2011. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=868448.

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