Efficient gesture processing
AssigneeIntel Corporation
InventorsGiuseppe RAFFA, Lama NACHMAN, Jinwon LEE
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AssigneeIntel Corporation
InventorsGiuseppe RAFFA, Lama NACHMAN, Jinwon LEE
Estimating the term…
Embodiments of the invention describe a system to efficiently execute gesture recognition algorithms. Embodiments of the invention describe a power efficient staged gesture recognition pipeline including multimodal interaction detection, context based optimized recognition, and context based optimized training and continuous learning. Embodiments of the invention further describe a system to accommodate many types of algorithms depending on the type of gesture that is needed in any particular situation. Examples of recognition algorithms include but are not limited to, HMM for complex dynamic gestures (e.g. write a number in the air), Decision Trees (DT) for static poses, peak detection for coarse shake/whack gestures or inertial methods (INS) for pitch/roll detection.
At least one computer readable storage medium having instructions stored thereon that, when executed on a machine, cause the machine to:
The at least one computer readable storage medium 2, wherein the machine is to select the subset of gesture recognition algorithm(s) based, at least in part, on a comparison of a total energy magnitude of the data with a total energy magnitude value associated with each of the plurality of gesture algorithms.
A mobile computing device comprising:
A machine-implemented method comprising:
Dependencies are inferred from the claim text.