Loading...
Please wait, while we are loading the content...
Similar Documents
Automatic Detection of Early Stage of Dementia by Multimodal Information through Interaction of Computer Avatars
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hiroki, Tanaka Hiroyoshi, Adachi Norimichi, Ukita Manabu, Ikeda Hiroaki, Kazui Takashi, Kudo Satoshi, Nakamura |
| Copyright Year | 2016 |
| 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 machine learning algorithm 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://ipsj.ixsq.nii.ac.jp/ej/index.php?action=pages_view_main&active_action=repository_action_common_download&attribute_id=1&block_id=8&file_no=1&item_id=172564&item_no=1&page_id=13 |
| Alternate Webpage(s) | https://ahcweb01.naist.jp/papers/conference/2016/201608_SIGASD_Tanaka_1/201608_SIGASD_Tanaka_1.paper.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
