Demo: e-gesture - a collaborative architecture for energy-efficient gesture recognition with hand-worn sensor and mobile devices

Authors:
Taiwoo Park;Jinwon Lee;Inseok Hwang;Chungkuk Yoo;Lama Nachman;Junehwa Song
Affiliations:
Korea Advanced Institute of Science and Technology, Daejeon, South Korea;Korea Advanced Institute of Science and Technology, Daejeon, South Korea;Korea Advanced Institute of Science and Technology, Daejeon, South Korea;Korea Advanced Institute of Science and Technology, Daejeon, South Korea;Intel Labs, Santa Clara, CA, USA;Korea Advanced Institute of Science and Technology, Daejeon, South Korea
Venue:
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Year:
2011

Citing 1
Cited 1

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Abstract

We demonstrate E-Gesture, a collaborative architecture for energy-efficient gesture recognition on a hand-worn sensor device and an off-the-shelf smartphone that greatly reduces energy consumption while achieving high accuracy recognition under dynamic mobile situations. E-gesture employs a novel gesture segmentation and classification architecture carefully crafted by studying sporadic occurrence patterns of gestures in continuous sensor data streams and analyzing energy consumption characteristics in both sensor and smartphone.