Research on Gesture Speed Estimation Model in 3D Interactive Interface

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Abstract:

Gesture has different speed in the process of movement. To reflect the different speed of the user, this paper presents a gesture speed estimation method. Firstly, we use data glove and camera to establish the relation between the variation of gesture contour and that of gesture speed. Secondly, we build the gesture speed estimation model by stages. Finally, we get the real-time speed of hand motion through this model and complete interactive task. The main innovation of this paper is that we reveal the relation between the gesture contour and speed to lay the foundation for further capture the interaction of user intention. Experimental results indicate that the time cost of our method decreased by 31% compared with freehand tracking based on behavioral models and the 3D interactive system based on our model is of high the user experience.

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1847-1850

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January 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] S.H. Dong: Journal of Computer-Aided Design & Computer Graphics Vol. 16 (2004), p.1.

Google Scholar

[2] H.Y. Wu, F.J. Zhang, Y.J. Liu and G.Z. Dai: Chinese journal of computers Vol. 32 (2009), p. (2030).

Google Scholar

[3] P.O. Kristensson, T.F.W. Nicholson and A. Quigley: IUI12 (2012), p.89.

Google Scholar

[4] J.W. Kim and T.J. Nam: CHI13 (2013), p.267.

Google Scholar

[5] Y. Wang, J.C. Liu, X. Fan, X.J. He, Q. Jia and R.J. Gao: Signal Processing Vol. 16 (2014), p.1.

Google Scholar

[6] W.H. Chun and T. Hollerer: IUI13 (2013), p.307.

Google Scholar

[7] B.C. Liu, Z.Q. Feng, and A.L. Sang: Journal of Software Vol. 8 (2013), p.1405.

Google Scholar

[8] F. F Zeng, B.L. Liang, Z. Liu Zhen and J.H. Wang: Journal of Image and Graphics Vol. 5 (2000), p.153.

Google Scholar

[9] P. Kakumanu, S. Makrogiannis and N. Bourbakis: Pattern Recognition Vol. 40 (2007), p.1106.

Google Scholar

[10] Z.Q. Feng, B. Yang,Y. Li, Y.W. Zheng, X.Y. Zhao, J.Q. Yin and Q.F. Meng: Pattern Recognition Vol. 46 (2013), p.590.

Google Scholar