Smartphone Accelerometer-Based Gesture Recognition and its Robotic Application

KIPS Transactions on Software and Data Engineering, Vol. 2, No.6, pp.395-402, June 2013
10.3745/KTSDE.2013.2.6.395, Full Text

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.


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Cite this paper

[KIPS Transactions Style]
I. C. Kim, J. H. Kim, S. H. Nam, and S. K. Heo, "Smartphone Accelerometer-Based Gesture Recognition and its Robotic Application," KIPS Transactions on Software and Data Engineering, Vol.2, No.6, pp.395-402, 2013, DOI: 10.3745/KTSDE.2013.2.6.395.

[IEEE Style]
In Cheol Kim, Joo Hee Kim, Sang Ha Nam, and Se Kyeong Heo, "Smartphone Accelerometer-Based Gesture Recognition and its Robotic Application," KIPS Transactions on Software and Data Engineering, vol. 2, no. 6, pp. 395-402, 2013. DOI: 10.3745/KTSDE.2013.2.6.395.

[ACM Style]
Kim, I. C., Kim, J. H., Nam, S. H., and Heo, S. K. 2013. Smartphone Accelerometer-Based Gesture Recognition and its Robotic Application. KIPS Transactions on Software and Data Engineering, 2, 6, (2013), 395-402. DOI: 10.3745/KTSDE.2013.2.6.395.