Ex-amp robot: Expressive robotic avatar with multimodal emotion detection to enhance communication of users with motor disabilities

Ai Kashii; Kazunori Takashio; Hideyuki Tokuda

doi:10.1109/ROMAN.2017.8172404

Ex-amp robot: Expressive robotic avatar with multimodal emotion detection to enhance communication of users with motor disabilities

Ai Kashii, Kazunori Takashio, Hideyuki Tokuda

Faculty of Environment and Information Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

In current society, there are numerous robots made for various purposes, including manufacturing, cleaning, therapy, and customer service. Other robots are used for enhancing H2H communication. In this research, we proposed a robotic system which detects the user's emotions and enacts them on a humanoid robot. By using this robotic avatar, users with motor disabilities are able to extend their methods of communication, as a physical form of expression will be added to the conversation.

Original language	English
Title of host publication	RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	864-870
Number of pages	7
Volume	2017-January
ISBN (Electronic)	9781538635186
DOIs	https://doi.org/10.1109/ROMAN.2017.8172404
Publication status	Published - 2017 Dec 8
Event	26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017 - Lisbon, Portugal Duration: 2017 Aug 28 → 2017 Sep 1

Other

Other	26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017
Country	Portugal
City	Lisbon
Period	17/8/28 → 17/9/1

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Human-Computer Interaction
Control and Optimization

Access to Document

10.1109/ROMAN.2017.8172404

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Cite this

Kashii, A., Takashio, K., & Tokuda, H. (2017). Ex-amp robot: Expressive robotic avatar with multimodal emotion detection to enhance communication of users with motor disabilities. In RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication (Vol. 2017-January, pp. 864-870). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROMAN.2017.8172404

Ex-amp robot : Expressive robotic avatar with multimodal emotion detection to enhance communication of users with motor disabilities. / Kashii, Ai; Takashio, Kazunori; Tokuda, Hideyuki.

RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 864-870.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kashii, A, Takashio, K & Tokuda, H 2017, Ex-amp robot: Expressive robotic avatar with multimodal emotion detection to enhance communication of users with motor disabilities. in RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 864-870, 26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017, Lisbon, Portugal, 17/8/28. https://doi.org/10.1109/ROMAN.2017.8172404

Kashii A, Takashio K, Tokuda H. Ex-amp robot: Expressive robotic avatar with multimodal emotion detection to enhance communication of users with motor disabilities. In RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication. Vol. 2017-January. Institute of Electrical and Electronics Engineers Inc. 2017. p. 864-870 https://doi.org/10.1109/ROMAN.2017.8172404

Kashii, Ai ; Takashio, Kazunori ; Tokuda, Hideyuki. / Ex-amp robot : Expressive robotic avatar with multimodal emotion detection to enhance communication of users with motor disabilities. RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. pp. 864-870

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