A real-time, multimodal biofeedback system for stroke patient rehabilitation

Yinpeng Chen, Weiwei Xu, Richard Isaac Wallis, Hari Sundaram, Thanassis Rikakis, Todd Ingalls, Loren Olson, Jiping He

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

11 Scopus citations

Abstract

This paper presents a novel real-time, multi-modal biofeedback system for stoke patient therapy. The problem is important as traditional mechanisms of rehabilitation are monotonous, and do not incorporate detailed quantitative assessment of recovery in addition to traditional clinical schemes. We have been working on developing an experiential media system that integrates task dependent physical therapy and cognitive stimuli within an interactive, multimodal environment. The environment provides a purposeful, engaging, visual and auditory scene in which patients can practice functional therapeutic reaching tasks, while receiving different types of simultaneous feedback indicating measures of both performance and results. There are two contributions of this paper - (a) identification of features and goals for the functional task, (b) the development of sophisticated feedback (auditory and visual) mechanisms that match the semantics of action of the task.

Original languageEnglish (US)
Title of host publicationProceedings of the 14th Annual ACM International Conference on Multimedia, MM 2006
Pages501-502
Number of pages2
DOIs
StatePublished - 2006
Event14th Annual ACM International Conference on Multimedia, MM 2006 - Santa Barbara, CA, United States
Duration: Oct 23 2006Oct 27 2006

Publication series

NameProceedings of the 14th Annual ACM International Conference on Multimedia, MM 2006

Other

Other14th Annual ACM International Conference on Multimedia, MM 2006
Country/TerritoryUnited States
CitySanta Barbara, CA
Period10/23/0610/27/06

Keywords

  • Action-feedback coupling
  • Analysis
  • Biofeedback

ASJC Scopus subject areas

  • General Computer Science
  • Media Technology

Fingerprint

Dive into the research topics of 'A real-time, multimodal biofeedback system for stroke patient rehabilitation'. Together they form a unique fingerprint.

Cite this