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2022 | OriginalPaper | Chapter

Extended Mouth/Tongue Gesture Recognition Module for People with Severe Motor Dysfunction

Authors : Ikushi Yoda, Kazuyuki Itoh, Tsuyoshi Nakayama

Published in: Computers Helping People with Special Needs

Publisher: Springer International Publishing

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Abstract

We researched gesture interfaces for people with motor dysfunction who cannot use normal interface switches. For this purpose, we have developed nine gesture recognition modules. One of them is the tongue recognition module that detects whether the tongue is in or out for the switch interface. In the process of collecting data on various types of mouth and tongue gestures and user’s demands, we discovered three useful types of mouth-related gestures: mouth open/close, tongue in/out, and movement around the lips. These gestures are also useful when performed simultaneously. We conducted several experiments using data of people with motor dysfunction and inspected the conditions for real use. Furthermore, we conducted a basic experiment with healthy people to recognize three gestures simultaneously.

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Literature
3.
go back to reference Yoda, I., Itoh, K., Nakayama, T.: Modular gesture interface for people with severe motor dysfunction: foot recognition. In: Proceedings of AAATE 2017, (Harnessing the Power of Technology to Improve Lives), pp. 725–732. IOS Press (2017) Yoda, I., Itoh, K., Nakayama, T.: Modular gesture interface for people with severe motor dysfunction: foot recognition. In: Proceedings of AAATE 2017, (Harnessing the Power of Technology to Improve Lives), pp. 725–732. IOS Press (2017)
4.
go back to reference Yoda, I., Ozawa, Y., Nishida, D., Mizuno, K., Itoh, K., Nakayama, T.: Gesture-based control for people persons with severe motor dysfunction by AAGI. In: IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech 2020), pp. 63–64 (2020) Yoda, I., Ozawa, Y., Nishida, D., Mizuno, K., Itoh, K., Nakayama, T.: Gesture-based control for people persons with severe motor dysfunction by AAGI. In: IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech 2020), pp. 63–64 (2020)
5.
go back to reference Yoda, I., Nakayama, T., Itoh, K., Nishida, D., Mizuno, K.: Application of gesture interface to transcription for people with motor dysfunction. In: Miesenberger, K., Manduchi, R., Covarrubias Rodriguez, M., Peňáz, P. (eds.) ICCHP 2020. LNCS, vol. 12377, pp. 343–347. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58805-2_40CrossRef Yoda, I., Nakayama, T., Itoh, K., Nishida, D., Mizuno, K.: Application of gesture interface to transcription for people with motor dysfunction. In: Miesenberger, K., Manduchi, R., Covarrubias Rodriguez, M., Peňáz, P. (eds.) ICCHP 2020. LNCS, vol. 12377, pp. 343–347. Springer, Cham (2020). https://​doi.​org/​10.​1007/​978-3-030-58805-2_​40CrossRef
Metadata
Title
Extended Mouth/Tongue Gesture Recognition Module for People with Severe Motor Dysfunction
Authors
Ikushi Yoda
Kazuyuki Itoh
Tsuyoshi Nakayama
Copyright Year
2022
DOI
https://doi.org/10.1007/978-3-031-08648-9_42