• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Study on gesture recognition based on IIDTW algorithm

Vol. 13, No. 12, December 31, 2019
10.3837/tiis.2019.12.015, Download Paper (Free):

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.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
T. Pei, C. Guozhen, L. Nianfeng, "Study on gesture recognition based on IIDTW algorithm," KSII Transactions on Internet and Information Systems, vol. 13, no. 12, pp. 6063-6079, 2019. DOI: 10.3837/tiis.2019.12.015.

[ACM Style]
Tian Pei, Chen Guozhen, and Li Nianfeng. 2019. Study on gesture recognition based on IIDTW algorithm. KSII Transactions on Internet and Information Systems, 13, 12, (2019), 6063-6079. DOI: 10.3837/tiis.2019.12.015.

[BibTeX Style]
@article{tiis:23095, title="Study on gesture recognition based on IIDTW algorithm", author="Tian Pei and Chen Guozhen and Li Nianfeng and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2019.12.015}, volume={13}, number={12}, year="2019", month={December}, pages={6063-6079}}