Intelligent Assistive System Using Real-Time Action Recognition for Stroke Survivors

Emilie Jean-Baptiste, Roozbeh Nabiei, Manish Parekh, Pia Rotshtein, Martin Russell, Peter Jancovic, Evangelia Fringi, B Drozdowska

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

13 Citations (Scopus)
214 Downloads (Pure)

Abstract

Cog Watch is an EU project developing technologies for cognitive rehabilitation of stroke patients. The Cog Watch prototype is an automatic system to re-train patients with Apraxia or Action Disorganization Syndrome (AADS) to complete activities of daily living (ADLs). This paper describes the approach to automatic planning based on a Markov Decision Process, and real-time action recognition (AR) based on instrumented objects using Hidden Markov Models. The experimental results demonstrate the ability of a psychologically plausible planning system integrated in a Task Model (TM) to improve task performance via user simulation, and the viability of the approach to AR.
Original languageEnglish
Title of host publication2014 IEEE International Conference on Healthcare Informatics (ICHI)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages39-44
ISBN (Print)978-1-4799-5701-9
DOIs
Publication statusPublished - 2014
EventIEEE International Conference on Healthcare Informatics 2014 (ICHI 2014) - Verona, Italy
Duration: 15 Sep 201417 Sep 2014

Conference

ConferenceIEEE International Conference on Healthcare Informatics 2014 (ICHI 2014)
Country/TerritoryItaly
CityVerona
Period15/09/1417/09/14

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