AID-ME: Automatic identification of dressing failures through monitoring of patients and activity evaluation

Aleksandar Matic, Priyal Mehta, James M. Rehg, Venet Osmani, Oscar Mayora

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

Abstract

Monitoring and evaluation of Activities of Daily Living in general, and dressing activity in particular, is an important indicator in the evaluation of the overall cognitive state of patients. In addition, the effectiveness of therapy in patients with motor impairments caused by a stroke, for example, can be measured through long-term monitoring of dressing activity. However, monitoring of dressing activity has not received significant attention. In this paper, we describe a system that can automatically monitor dressing activity and identify dressing failures exhibited by patients. The system uses a synergistic combination of RFID and computer vision in order to identify a number of common dressing failures exhibited by the patients.

Original languageEnglish (US)
Title of host publication2010 4th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2010
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 4th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2010 - Munich, Germany
Duration: Mar 22 2010Mar 25 2010

Publication series

Name2010 4th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2010

Conference

Conference2010 4th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2010
Country/TerritoryGermany
CityMunich
Period3/22/103/25/10

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics
  • Health Information Management

Fingerprint

Dive into the research topics of 'AID-ME: Automatic identification of dressing failures through monitoring of patients and activity evaluation'. Together they form a unique fingerprint.

Cite this