Taiwoo Park, Jinwon Lee, Inseok Hwang, Chungkuk Yoo, Lama Nachman, Junehwa Song
2011 Proceedings of the 9th international conference on Mobile systems, applications, and services - MobiSys '11  
We demonstrate E-Gesture, a collaborative architecture for energyefficient 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.
doi:10.1145/1999995.2000034 dblp:conf/mobisys/ParkLHYNS11 fatcat:rrszf74eubbb7hgnvz3c2yowqa