CogWatch: Intelligent agent-based system to assist stroke survivors during tea-making

Emilie M.D. Jean-Baptiste, Martin Russell, Jo Howe, Pia Rotshtein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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 languageEnglish
Title of host publicationIntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages452-456
Number of pages5
ISBN (Electronic)9781467376068
DOIs
Publication statusPublished - 18 Dec 2015
EventSAI Intelligent Systems Conference, IntelliSys 2015 - London, United Kingdom
Duration: 10 Nov 201511 Nov 2015

Publication series

NameIntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference

Conference

ConferenceSAI Intelligent Systems Conference, IntelliSys 2015
Country/TerritoryUnited Kingdom
CityLondon
Period10/11/1511/11/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus subject areas

  • Computer Science Applications
  • Artificial Intelligence
  • Information Systems

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