Abstract
The common use of mobile terminals is for text input. However, mobile terminals cannot be equipped with sufficient amount of keys because of the physical restrictions. To solve this problem we developed an input method using surface electromyogram (sEMG), treating arm muscle movements as input signals. This method involves no physical keys and can be used to input Japanese texts. In our experiments, the system was capable of inputting Japanese characters with a finger motion recognition rate of approximately 80%.
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References
Tanaka-Ishii, K., Inutsuka, Y., Takeichi, M.: Japanese input system with digits –Can Japanese be input only with consonants? In: Human Language Technology Conference, San Diego, USA, pp. 211–218 (2001)
Tanaka-Ishii, K., Inutsuka, Y., Takeichi, M.: Entering text using a four button device. In: The 19th International Conference on Computational Linguistics, Taipei, Taiwan, pp. 988–994 (2002)
T9. T9 text input home page, http://www.t9.com
Yoshida, H., Ujiie, H., Ishimura, K., Wada, M.: The estimation of muscle fatigue using chaos analysis. Journal of the Society of Biomechanisms 28(4), 201–212 (2004) (in Japanese)
Suematsu, S., Yokoi, H.: A motion generating system for multi-fingered myoelectric hand. International Congress Series 1291, 257–260 (2006)
Calhoun Gloria, L., McMillan Grant, R.: Hands-free input devices for wearable computers. In: Proceedings of Fourth Annual Symposium on Human Interaction with Complex Systems, pp. 118–123. IEEE, Dayton (1998)
Costanza, E., Inverso, S.A., Allen, R.: Toward subtle intimate interfaces for mobile devices using an EMG controller. In: Proceedings of the SIGCHI conference on Human factors in computing systems, Portland, Oregon, USA (2005)
Aso, S., Sasaki, A., Hashimoto, H., Ishii, C.: Driving Electric Car by Using EMG Interface. In: IEEE International Conferences on Cybernetics Intelligent Systems (CIS). IEEE, CD-ROM (2006)
Hatano, A., Araki, K., Masafumi, M.: A Japanese Input Method Using Surface EMG Signals. In: Hokkaido-section Joint Convention of the Institutes of Electrical and related Engineers, Sapporo, Japan, pp. 187–188 (2007)
Kudo, T., Kazawa, H.: Web Japanese N-gram Version 1. Gengo Shigen Kyokai
Oisaka Electronic Device Ltd. equipment: Personal-EMG, http://www.oisaka.co.jp/P-EMG.html
Matsuhara, M., Araki, K., Tochinai, K.: Evaluation of Number-Kanji Translation Method using Inductive Learning on E-mail. In: Proceedings of the IASTED International Conference on Artificial Intelligence And Soft Computing, Banff, Canada, pp. 487–493 (2000)
Matsuhara, M., Araki, K., Tochinai, K.: Effectiveness for machine translation method using inductive learning on number representation. In: McKay, B., Slaney, J.K. (eds.) Canadian AI 2002. LNCS, vol. 2557, pp. 648–659. Springer, Heidelberg (2002)
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Hatano, A., Araki, K., Matsuhara, M. (2009). A Japanese Input Method for Mobile Terminals Using Surface EMG Signals. In: Hattori, H., Kawamura, T., Idé, T., Yokoo, M., Murakami, Y. (eds) New Frontiers in Artificial Intelligence. JSAI 2008. Lecture Notes in Computer Science(), vol 5447. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00609-8_2
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DOI: https://doi.org/10.1007/978-3-642-00609-8_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00608-1
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