A HOG-based hand gesture recognition system on a mobile device

Lukas Prasuhn, Yuji Oyamada, Yoshihiko Mochizuki, Hiroshi Ishikawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

24 Citations (Scopus)

Abstract

We propose a HOG-based hand gesture recognition system running on a mobile device. Input data is a video of hand gesture taken by a mobile device. The input data is compared with a database storing hand gesture images, which was synthesized with rotation variation. The comparison is done based on their HOG features and the gesture corresponding to the best-matched image is returned as the result. The recognition algorithm is implemented on a client-server system. The proposed system is applied to American Sign Language (ASL) alphabet recognition problem. The experimental results show that the proposed recognition algorithm improves HOG's robustness under rotation change and compare processing time with different network configurations.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Image Processing, ICIP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3973-3977
Number of pages5
ISBN (Print)9781479957514
DOIs
Publication statusPublished - 2014 Jan 28

Keywords

  • Client-server system
  • Hand gesture recognition
  • HOG feature

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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    Prasuhn, L., Oyamada, Y., Mochizuki, Y., & Ishikawa, H. (2014). A HOG-based hand gesture recognition system on a mobile device. In 2014 IEEE International Conference on Image Processing, ICIP 2014 (pp. 3973-3977). [7025807] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIP.2014.7025807