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

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



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)
Publication statusPublished - 2014
EventIEEE International Conference on Healthcare Informatics 2014 (ICHI 2014) - Verona, Italy
Duration: 15 Sep 201417 Sep 2014


ConferenceIEEE International Conference on Healthcare Informatics 2014 (ICHI 2014)