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

Lukas Prasuhn, Yuji Oyamada, Yoshihiko Mochizuki, Hiroshi Ishikawa

研究成果: Conference contribution

24 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトル2014 IEEE International Conference on Image Processing, ICIP 2014
出版者Institute of Electrical and Electronics Engineers Inc.
ページ3973-3977
ページ数5
ISBN(印刷物)9781479957514
DOI
出版物ステータスPublished - 2014 1 28

    フィンガープリント

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

これを引用

Prasuhn, L., Oyamada, Y., Mochizuki, Y., & Ishikawa, H. (2014). A HOG-based hand gesture recognition system on a mobile device. : 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