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Journal of Medical Engineering & Technology Volume 34, 2010 - Issue 4
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Innovation

Recognition of Japanese finger spelling gestures using neural networks

H. T. C. Machacon †Kiryu University, Faculty of Health Care, Asami 606-7, Kasakake, Midori city, Gunma, 379-2392 JapanCorrespondence[email protected]
&
S. Shiga ‡Gunma University, Dept. of Mechanical System Engineering, Graduate School of Engineering, 1-5-1 Tenjin-cho, Kiryu, Gunma, 376-8515, Japan
Pages 254-260 | Received 25 Nov 2009, Accepted 23 Dec 2009, Published online: 09 Feb 2010

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Read on this site (2)

Ghassan Kbar, Akshay Bhatia, Mustufa Haider Abidi & Ibraheem Alsharawy. (2017) Assistive technologies for hearing, and speaking impaired people: a survey. Disability and Rehabilitation: Assistive Technology 12:1, pages 3-20.
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H. T. C. Machacon, S. Shiga & K. Fukino. (2012) Neural network application in Japanese sign language: distinction of similar Yubimoji gestures. Journal of Medical Engineering & Technology 36:3, pages 163-168.
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Articles from other publishers (3)

H.S. Nagendraswamy & B.M. Chethana Kumara. (2017) LBPV for Recognition of Sign Language at Sentence Level: An Approach Based on Symbolic Representation. Journal of Intelligent Systems 26:2, pages 371-385.
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M. Ebrahim Al-Ahdal & Md Tahir Nooritawati. (2012) Review in Sign Language Recognition Systems. Review in Sign Language Recognition Systems.
Oğuz Altun & Songül Albayrak. (2011) Turkish fingerspelling recognition system using Generalized Hough Transform, interest regions, and local descriptors. Pattern Recognition Letters 32:13, pages 1626-1632.
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