Abstract
The inability to complete instrumental activities of daily living (IADL) is the early signs of dementia. Questionnaire-based assessments of IADL are easy to use but prone to subjective bias. Here, we describe a novel virtual reality (VR) test to assess two complex IADL tasks: handling financial transactions and using public transportation. While a subject performs the tasks in a VR setting, a motion capture system traces the position and orientation of the dominant hand and head in a three-dimensional Cartesian coordinate system. Kinematic raw data are collected and converted into kinematic performance measures, i.e., motion trajectory, moving distance, speed. Inclusion of these kinematic measures significantly improved the classification of patients with early dementia.
| Original language | English |
|---|---|
| Title of host publication | Southeast Asia Computer Human Interaction (SEACHI) - Asian CHI Symposium 2018 |
| Subtitle of host publication | Emerging Research Collections, Asian HCI 2018 |
| Editors | Eunice Sari |
| Publisher | Association for Computing Machinery |
| Pages | 21-24 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781450356411 |
| DOIs | |
| State | Published - 21 Apr 2018 |
| Event | 2nd Asian CHI Symposium 2018: Emerging Research Collections, Asian HCI 2018 - Montreal, Canada Duration: 21 Apr 2018 → 26 Apr 2018 |
Publication series
| Name | Conference on Human Factors in Computing Systems - Proceedings |
|---|
Conference
| Conference | 2nd Asian CHI Symposium 2018: Emerging Research Collections, Asian HCI 2018 |
|---|---|
| Country/Territory | Canada |
| City | Montreal |
| Period | 21/04/18 → 26/04/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Dementia
- Instrumental activities of daily living
- Kinematics
- Movement
- Virtual reality
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