Implementation and Evaluation of a Motivational Robotic Coach for Repetitive Stroke Rehabilitation

Martin K. Ross, Frank Broz, Lynne Baillie

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

10 Downloads (Pure)

Abstract

Repetitive, individual exercises can improve the functional ability of stroke survivors over the long term. With the aim of providing extra motivation to adhere to repetitive, individual rehabilitation, this paper presents a robotic coach for stroke rehabilitation. Our system uses the Pepper robot and performs one of twelve data-driven coaching policies. The policies were learned from human-human observations of professional stroke physiotherapists and provide high-level personalisation based on user information and training context. A within subjects evaluation of the system was conducted in-person involving short interactions with 3 stroke survivors. The system was able to engage the target end users and there were indications that decreased workload could be possible when using the system compared to exercising alone.

Original languageEnglish
Title of host publicationHRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
PublisherAssociation for Computing Machinery
Pages911-915
Number of pages5
ISBN (Electronic)9798400703232
DOIs
Publication statusPublished - 11 Mar 2024
Event19th Annual ACM/IEEE International Conference on Human-Robot Interaction 2024 - Boulder, United States
Duration: 11 Mar 202415 Mar 2024

Conference

Conference19th Annual ACM/IEEE International Conference on Human-Robot Interaction 2024
Abbreviated titleHRI 2024
Country/TerritoryUnited States
CityBoulder
Period11/03/2415/03/24

Keywords

  • Coaching
  • Personalisation
  • Rehabilitation
  • Stroke

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Implementation and Evaluation of a Motivational Robotic Coach for Repetitive Stroke Rehabilitation'. Together they form a unique fingerprint.

Cite this