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http://dx.doi.org/10.3745/KTSDE.2013.2.6.395

Smartphone Accelerometer-Based Gesture Recognition and its Robotic Application  

Nam, Sang-Ha (경기대학교 컴퓨터과학과)
Kim, Joo-Hee (경기대학교 컴퓨터과학과)
Heo, Se-Kyeong (경기대학교 컴퓨터과학과)
Kim, In-Cheol (경기대학교 컴퓨터과학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.2, no.6, 2013 , pp. 395-402 More about this Journal
Abstract
We propose an accelerometer-based gesture recognition method for smartphone users. In our method, similarities between a new time series accelerometer data and each gesture exemplar are computed with DTW algorithm, and then the best matching gesture is determined based on k-NN algorithm. In order to investigate the performance of our method, we implemented a gesture recognition program working on an Android smartphone and a gesture-based teleoperating robot system. Through a set of user-mixed and user-independent experiments, we showed that the proposed method and implementation have high performance and scalability.
Keywords
Smartphone; Gesture Recognition; Accelerometer; Robot Teleoperation; DTW; k-NN;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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