Towards A Smart Hospital: Automated Non-Invasive Patient's Discomfort Detection in Ward Using Overhead Camera

Iqbal Khan, Imran Ahmed, Misbah Ahmad, Kaleem Ullah

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

7 Citations (Scopus)

Abstract

Computer vision has long been used for human action/activity recognition and unusual event detection besides video surveillance. Numerous attempts have been made to recognize human activities like sitting, standing, laying down, jumping, walking, etc. Similarly, abnormal event detection has also been an active research area in computer vision. Inspired from these attempts the current research proposes a system for non-invasive detection of patient's discomfort in wards by recognizing different visual clues associated with a patient's pain or other types of discomfort. We use a blob-based method for extracting moving parts of the patient's body and analyze the extracted blobs using decision rules to identify which movement of the body corresponds to discomfort. We created a new data set for evaluating the system and developed a ground truth for images against which we measured the performance of the proposed method. Using this dataset we achieved an overall average accuracy of 90%. This system is equally applicable in homes for taking care of those elderly who prefer to live independently.

Original languageEnglish
Title of host publication2018 9th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2018
EditorsSatyajit Chakrabarti, Himadri Nath Saha
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages872-878
Number of pages7
ISBN (Electronic)9781538676936
DOIs
Publication statusPublished - Nov 2018
Externally publishedYes
Event9th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2018 - New York City, United States
Duration: 8 Nov 201810 Nov 2018

Publication series

Name2018 9th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2018

Conference

Conference9th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2018
Country/TerritoryUnited States
CityNew York City
Period8/11/1810/11/18

Keywords

  • Discomfort Detection
  • Overhead Camera
  • Patient Monitoring
  • Smart Ward

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