Computational architecture of a robot coach for physical exercises in kinaesthetic rehabilitation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The rising number of the elderly incurs growing concern about healthcare, and in particular rehabilitation healthcare. Assistive technology and and assistive robotics in particular may help to improve this process. We develop a robot coach capable of demonstrating rehabilitation exercises to patients, watch a patient carry out the exercises and give him feedback so as to improve his performance and encourage him. We propose a general software architecture for our robot coach, which is based on imitation learning techniques using Gaussian Mixture Models. Our system is thus easily programmable by medical experts without specific robotics knowledge, as well as capable of personalised audio feedback to patients indicating useful information to improve on their physical rehabilitation exercise.

Original languageEnglish
Title of host publication25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1138-1143
Number of pages6
ISBN (Electronic)9781509039296
DOIs
Publication statusPublished - 15 Nov 2016
Externally publishedYes
Event25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016 - New York, United States
Duration: 26 Aug 201631 Aug 2016

Publication series

Name25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016

Conference

Conference25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016
Country/TerritoryUnited States
CityNew York
Period26/08/1631/08/16

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