公开(公告)号：US20170220122A1

公开(公告)日：2017-08-03

申请号：US15397511

申请日：2017-01-03

Applicant: INTEL CORPORATION

Inventor： Giuseppe RAFFA ,  Lama NACHMAN ,  Jinwon LEE

IPC: G06F3/01

CPC classification number: G06F3/017 ,  G01C19/00 ,  G01P15/18 ,  G06F1/1694 ,  G06F3/0346 ,  H04M2250/12

Abstract: 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.