A Home-Based Adaptive Collaborative System for Stroke Patient Rehabilitation

Paul Craig*, Yanhao Jin, Jie Sun

*Corresponding author for this work

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

2 Citations (Scopus)


This paper describes research into the development of a collaborative home-based patient-therapist system for stroke patient rehabilitation. Our prototype system is designed so that home-based rehabilitation exercises are interactive and adapt to the progress of the patient. This way patients are encouraged to do the exercises most appropriate for their stage in the recovery process and can make the most of the time spent working on their rehabilitation. The system also keeps a record of patient progress that is communicated to the patient and medical professionals via mobile or personal-computer interfaces so they can work together towards a more effective overall plan for rehabilitation. This allows the physician to be better informed to make clinical decisions based on the progress of the patient. Results of early evaluations demonstrate the utility of our prototype system to provide users with a stimulating interactive experience as well as the systems potential to support medical experts to make more informed decisions relating to patient treatment. Results also indicate that patients feel more involved in their rehabilitation and that general communication between the medical experts and patients is improved.

Original languageEnglish
Title of host publicationCooperative Design, Visualization, and Engineering - 17th International Conference, CDVE 2020, Proceedings
EditorsYuhua Luo
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages10
ISBN (Print)9783030608156
Publication statusPublished - 2020
Event17th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2020 - Bangkok, Thailand
Duration: 25 Oct 202028 Oct 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12341 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2020


  • Healthcare
  • Human-computer interaction
  • Stroke rehabilitation

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