Abstract
Stroke survivors often have difficulties performing Activities of Daily Living (ADL). When they try to complete a task, they tend to rely on caregivers who give them cues when necessary. However, this reliance on caregivers' support may affect their ability to live an independent life. Hence, to tackle this issue, while giving them the guidance they need during ADL, the development of a specific Intelligent Assistive Planning System (AIPS) may be beneficial. In this paper, the design of CogWatch, which is a system implemented to assist stroke survivors during tea-making, is described. The Markov Decision Process framework that can be used in such a context, and which can potentially model any sequential tasks, is also explained. Finally, preliminary results involving twelve patients interacting with the system are analysed, and future plans are discussed.
Original language | English |
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Title of host publication | IntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 452-456 |
Number of pages | 5 |
ISBN (Electronic) | 9781467376068 |
DOIs | |
State | Published - 18 Dec 2015 |
Externally published | Yes |
Event | SAI Intelligent Systems Conference, IntelliSys 2015 - London, United Kingdom Duration: 10 Nov 2015 → 11 Nov 2015 |
Publication series
Name | IntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference |
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Conference
Conference | SAI Intelligent Systems Conference, IntelliSys 2015 |
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Country/Territory | United Kingdom |
City | London |
Period | 10/11/15 → 11/11/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
ASJC Scopus subject areas
- Computer Science Applications
- Artificial Intelligence
- Information Systems