Presentation 2015-03-13
Development and Evaluation of an Interactive Training System for Both Static and Dynamic Fingerspelling Using Depth Image
Masaki KONDO, Nobuko KATO, Kazuhiro FUKUI, Akio OKAZAKI,
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Abstract(in English) Fingerspelling is one of useful communication methods for deaf and hard of hearing. If the beginners of fingerspelling have learnt error fingerspelling, it is difficult to notice the error, because it is one-way learning. Thus, we have developed a fingerspelling training system with feedback functions using handshape recognition techniques for the purpose of interactive learning. The conventional system dealt with only static fingerspelling. In this paper, we have developed a training system for both static and dynamic fingerspelling using depth image sequence from a depth sensor, and have evaluated performance of the system by both deaf students and hearing students. The experimental results showed that the proposed method was useful for total fingerspelling training.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) fingerspelling / training system / handshape recognition / depth image / feedback
Paper # WIT2014-89
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Committee WIT
Conference Date 2015/3/6(1days)
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Registration To Well-being Information Technology(WIT)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development and Evaluation of an Interactive Training System for Both Static and Dynamic Fingerspelling Using Depth Image
Sub Title (in English)
Keyword(1) fingerspelling
Keyword(2) training system
Keyword(3) handshape recognition
Keyword(4) depth image
Keyword(5) feedback
1st Author's Name Masaki KONDO
1st Author's Affiliation Graduate School of Tecnology and Science, Tsukuba Unicersity of Technology()
2nd Author's Name Nobuko KATO
2nd Author's Affiliation Graduate School of Tecnology and Science, Tsukuba Unicersity of Technology
3rd Author's Name Kazuhiro FUKUI
3rd Author's Affiliation Graduate school of System and Information Engineering, University of Tsukuba
4th Author's Name Akio OKAZAKI
4th Author's Affiliation Graduate School of Tecnology and Science, Tsukuba Unicersity of Technology
Date 2015-03-13
Paper # WIT2014-89
Volume (vol) vol.114
Number (no) 512
Page pp.pp.-
#Pages 6
Date of Issue