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

Lukas Prasuhn; Yuji Oyamada; Yoshihiko Mochizuki; Hiroshi Ishikawa

doi:10.1109/ICIP.2014.7025807

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

Lukas Prasuhn, Yuji Oyamada, Yoshihiko Mochizuki, Hiroshi Ishikawa

School of Fundamental Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

38 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 language	English
Title of host publication	2014 IEEE International Conference on Image Processing, ICIP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3973-3977
Number of pages	5
ISBN (Electronic)	9781479957514
DOIs	https://doi.org/10.1109/ICIP.2014.7025807
Publication status	Published - 2014 Jan 28

Publication series

Name	2014 IEEE International Conference on Image Processing, ICIP 2014

Keywords

Client-server system
HOG feature
Hand gesture recognition

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICIP.2014.7025807

Cite this

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). Article 7025807 (2014 IEEE International Conference on Image Processing, ICIP 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIP.2014.7025807

A HOG-based hand gesture recognition system on a mobile device. / Prasuhn, Lukas; Oyamada, Yuji; Mochizuki, Yoshihiko et al.
2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 3973-3977 7025807 (2014 IEEE International Conference on Image Processing, ICIP 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 7025807, 2014 IEEE International Conference on Image Processing, ICIP 2014, Institute of Electrical and Electronics Engineers Inc., pp. 3973-3977. https://doi.org/10.1109/ICIP.2014.7025807

@inproceedings{fe432b014c254b219ade51f467d0f77b,

title = "A HOG-based hand gesture recognition system on a mobile device",

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.",

keywords = "Client-server system, HOG feature, Hand gesture recognition",

author = "Lukas Prasuhn and Yuji Oyamada and Yoshihiko Mochizuki and Hiroshi Ishikawa",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.",

year = "2014",

month = jan,

day = "28",

doi = "10.1109/ICIP.2014.7025807",

language = "English",

series = "2014 IEEE International Conference on Image Processing, ICIP 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3973--3977",

booktitle = "2014 IEEE International Conference on Image Processing, ICIP 2014",

}

TY - GEN

T1 - A HOG-based hand gesture recognition system on a mobile device

AU - Prasuhn, Lukas

AU - Oyamada, Yuji

AU - Mochizuki, Yoshihiko

AU - Ishikawa, Hiroshi

PY - 2014/1/28

Y1 - 2014/1/28

N2 - 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.

AB - 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.

KW - Client-server system

KW - HOG feature

KW - Hand gesture recognition

UR - http://www.scopus.com/inward/record.url?scp=84949927149&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84949927149&partnerID=8YFLogxK

U2 - 10.1109/ICIP.2014.7025807

DO - 10.1109/ICIP.2014.7025807

M3 - Conference contribution

AN - SCOPUS:84949927149

T3 - 2014 IEEE International Conference on Image Processing, ICIP 2014

SP - 3973

EP - 3977

BT - 2014 IEEE International Conference on Image Processing, ICIP 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

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

Abstract

Publication series

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this