[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.3837/tiis.2019.12.015

Study on gesture recognition based on IIDTW algorithm

Tian, Pei (School of information engineering, Communication University of China)
Chen, Guozhen (School of information engineering, Communication University of China)
Li, Nianfeng (School of information engineering, Communication University of China)

Publication Information

KSII Transactions on Internet and Information Systems (TIIS) / v.13, no.12, 2019 , pp. 6063-6079 More about this Journal

Abstract

When the length of sampling data sequence is too large, the method of gesture recognition based on traditional Dynamic Time Warping (DTW) algorithm will lead to too long calculation time, and the accuracy of recognition result is not high.Support vector machine (SVM) has some shortcomings in precision, Edit Distance on Real Sequences(EDR) algorithm does not guarantee that noise suppression will not suppress effective data.A new method based on Improved Interpolation Dynamic Time Warping (IIDTW)algorithm is proposed to improve the efficiency of gesture recognition and the accuracy of gesture recognition. The results show that the computational efficiency of IIDTW algorithm is more than twice that of SVM-DTW algorithm, the error acceptance rate is FAR reduced by 0.01%, and the error rejection rate FRR is reduced by 0.5%.Gesture recognition based on IIDTW algorithm can achieve better recognition status. If it is applied to unlock mobile phone, it is expected to become a new generation of unlock mode.

Keywords

Gesture password; Android sensor; IIDTW algorithm; Authentication; Mobile phone unlock;

Citations & Related Records

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