An audiovisual patient identification system for rehabilitation

Konstantinos Tsiakas, Dimitrios Zikos, Fillia Makedon

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

Abstract

Exercising is an essential part of the rehabilitation. Patients that suffer from chronic diseases, such as Rheumatoid Arthritis (RA) or fibromyalgia, must be committed to a daily exercise routine that helps them to eventually return to their normal daily activities. However, rehabilitation programs can be expensive and time- consuming. The patient must be in contact with their therapist on a frequent basis and follow a really demanding routine. Therapist must always be able to track each patient's progress and activity and make personalized decisions. This work describes a tele-rehabilitation system which facilitates the initiation and monitoring of rehabilitation exercises. We propose a patient identification system that logs the user in this rehabilitation system, based on audiovisual feature extraction. The context of our system assumes that patients are able to perform their scheduled activities prescribed by the therapist either with their therapist or even alone at home. The therapist can remotely keep track of the progress of each patient. The above scenario requires that our system guarantees safety, accuracy and private data security.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2014
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450327466
DOIs
StatePublished - May 27 2014
Externally publishedYes
Event7th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2014 - Rhodes, Greece
Duration: May 27 2014May 30 2014

Publication series

NameACM International Conference Proceeding Series
Volume2014-May

Conference

Conference7th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2014
Country/TerritoryGreece
CityRhodes
Period05/27/1405/30/14

Keywords

  • Audiovisual feature extraction
  • Face recognition
  • Rehabilitation
  • Speaker recognition

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