Intelligent Prompting System to Assist Stroke Survivors

Emilie Jean-Baptiste, Martin Russell, Joanne Howe, Pia Rotshtein

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
280 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages (from-to)707-723
Number of pages17
JournalJournal of Ambient Intelligence and Smart Environments
Volume9
Issue number6
DOIs
Publication statusPublished - 2 Nov 2017

Keywords

  • Stroke survivors
  • Activities of daily living
  • Action planning
  • Markov Decision Process
  • Assistive technology

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