Fall detection and activity classification using a wearable smart camera

Koray Ozcan, Anvith Katte Mahabalagiri, Senem Velipasalar

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

1 Scopus citations

Abstract

Robust detection of events and activities, such as falling, sitting and lying down, is a key to a reliable elderly activity monitoring system. While fast and precise detection of falls is critical in providing immediate medical attention, other activities like sitting and lying down can provide valuable information for early diagnosis of potential health problems. In this paper, we present a fall detection and activity classification system using wearable cameras. Since the camera is worn by the subject, monitoring extends to wherever the subject may go. Furthermore, since the captured frames are not of the subject, privacy is preserved. We present an improved fall detection algorithm employing histograms of edge orientations and strengths, and propose an optical flow-based method for activity classification. Trials were performed on five different subjects wearing a camera on their waist, each performing 40 different activities. Experimental results show the success of the proposed method.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Multimedia and Expo, ICME 2013
DOIs
StatePublished - Oct 21 2013
Event2013 IEEE International Conference on Multimedia and Expo, ICME 2013 - San Jose, CA, United States
Duration: Jul 15 2013Jul 19 2013

Publication series

NameProceedings - IEEE International Conference on Multimedia and Expo
ISSN (Print)1945-7871
ISSN (Electronic)1945-788X

Other

Other2013 IEEE International Conference on Multimedia and Expo, ICME 2013
CountryUnited States
CitySan Jose, CA
Period7/15/137/19/13

Keywords

  • Fall detection
  • activity classification
  • histogram of oriented gradients
  • optical flow
  • smart camera

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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  • Cite this

    Ozcan, K., Mahabalagiri, A. K., & Velipasalar, S. (2013). Fall detection and activity classification using a wearable smart camera. In 2013 IEEE International Conference on Multimedia and Expo, ICME 2013 [6607626] (Proceedings - IEEE International Conference on Multimedia and Expo). https://doi.org/10.1109/ICME.2013.6607626