ICMI 2016

18th ACM International Conference on Multimodal Interaction (ICMI 2016), November 12–16, 2016, Tokyo, Japan

Desktop Layout

Poster Session 2
Main Track
Conference Room 3
Automatic Detection of Very Early Stage of Dementia through Multimodal Interaction with Computer Avatars
Hiroki Tanaka, Hiroyoshi Adachi, Norimichi Ukita, Takashi Kudo, and Satoshi Nakamura
(Nara Institute of Science and Technology, Japan; Osaka University Health Care Center, Japan)
Publisher's Version
Abstract: This paper proposes a new approach to detecting very early stage of dementia automatically. We develop a computer avatar with spoken dialog functionalities that produces natural spoken queries referring to Mini Mental State Examination, Wechsler Memory Scale-Revised and other related questions. Multimodal interactive data of spoken dialogues from 18 participants (9 dementias and 9 healthy controls) are recorded, and audiovisual features are extracted. We confirm that the support vector machines can classify into two groups with 0.94 detection performance as measured by areas under ROC curve. It is found that our system has possibilities to detect very early stage of dementia through spoken dialog with our computer avatars.

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Time stamp: 2019-08-21T20:06:53+02:00