Investigation of Feature Elements and Performance Improvement for Sign Language Recognition by Hidden Markov Model - researchr publication authors

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Tatsunori Ozawa, Hirotoshi Shibata, Hiromitsu Nishimura, Hiroshi Tanaka. Investigation of Feature Elements and Performance Improvement for Sign Language Recognition by Hidden Markov Model. In Margherita Antona, Constantine Stephanidis, editors, Universal Access in Human-Computer Interaction. Designing Novel Interactions - 11th International Conference, UAHCI 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part II. Volume 10278 of Lecture Notes in Computer Science, pages 76-88, Springer, 2017. [doi]

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