Automated virtual observation therapy

Yin Leng Theng, Lynette Ying Qin Goh, Owen Noel Newton Fernando, Jason Wen Yau Lee, Chamika Deshan, Foo Shou Boon, S. Schubert

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

Abstract

In this paper, we present an enhanced virtual observation therapy (VOT) system to address challenges in medication adherence and the current observed therapy approach. The original approach requires both patient and healthcare worker to be physically collocated, which has several technical and practical challenges. Therefore, we developed a system that tracks the natural actions of the patient when they take medication, which provides a new experience for them. The system automates the process of recording a video of the patient's medication taking and uploads the video log to the hospital management system. In addition, the system provides instructions to the patient from start to end of the medication taking process.

Original languageEnglish
Title of host publicationCHI EA 2014
Subtitle of host publicationOne of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Pages1693-1698
Number of pages6
ISBN (Print)9781450324748
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014 - Toronto, ON, Canada
Duration: Apr 26 2014May 1 2014

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014
Country/TerritoryCanada
CityToronto, ON
Period4/26/145/1/14

ASJC Scopus Subject Areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

Keywords

  • Computer vision
  • Ubiquitous computing
  • Virtual observation therapy

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