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A Two-Handed Gesture Recognition Technique on Mobile Devices Based on Improved DTW Algorithm

  • Xiao Han
  • Jiayin Xue
  • Qinyu Zhang
  • Qiao Xiao
  • Peng Zhao
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 463)

Abstract

The majority of traditional gesture recognition relies on cameras, easily affected by environmental noises. Moreover, most of them are one-handed gestures, whose identifying speed and accuracy are limited. Therefore, this paper proposed a two-handed gesture recognition technology based on improved dynamic time warping (DTW) algorithm and common mobile devices. The data are collected by common carry on mobile communication devices instead of wearable devices. By constructing boundary linked list, traditional DTW algorithm is optimized, so we realized two-handed gesture trajectory recognition. The results show that, under the prerequisite of guaranteeing accuracy, the method can considerably reduce the algorithm’s computation complexity, and effectively improve the speed of recognition.

Keywords

Mobile device Two-handed gesture recognition Linked list of bound DTW 

Notes

Acknowledgements

This work was supported in part by the National Natural Sciences Foundation of China (NSFC) under Grant 61525103, and the Shenzhen Fundamental Research Project under Grant JCYJ20150930150304185.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Xiao Han
    • 1
  • Jiayin Xue
    • 1
  • Qinyu Zhang
    • 1
  • Qiao Xiao
    • 1
  • Peng Zhao
    • 1
  1. 1.College of Electronic and Communication EngineeringHarbin Institute of Technology Shenzhen Graduate SchoolShenzhenChina

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