Intelligent Prompting System to Assist Stroke Survivors
Research output: Contribution to journal › Article › peer-review
Stroke survivors often have difficulties performing Activities of Daily Living (ADL). When trying 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 independently. In our study, we have developed CogWatch - an assistive system designed to provide guidance to stroke survivors during teamaking. An evaluation of the system was carried out on twelve patients. The latter were asked to complete different ADLs with and without CogWatch’s assistance. Results showed that patients succeed at the tasks more often when assisted by the system than without guidance. It is anticipated that this system could be installed in the home environment and provide early stage rehabilitation.
|Number of pages||17|
|Journal||Journal of Ambient Intelligence and Smart Environments|
|Publication status||Published - 2 Nov 2017|
- Stroke survivors, Activities of daily living, Action planning, Markov Decision Process, Assistive technology