Automated Analysis of Nursing Home Observations

  • Authors:
  • A. G. Hauptmann;J. Gao;R. Yan;Y. Qi;J. Yang;H. D. Wactlar

  • Affiliations:
  • Carnegie Mellon Univ., Pittsburgh, PA, USA;-;-;-;-;-

  • Venue:
  • IEEE Pervasive Computing
  • Year:
  • 2004

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Abstract

Pervasive activity monitoring in a skilled-nursing facility helps capture a continuous audio and video record. The CareMedia project analyzes this video information by automatically tracking people, helping to efficiently label individuals, and characterizing selected activities and actions. The project emphasizes detecting eating activity in the dining hall and personal hygiene. Through this work, the video record becomes an information asset that can provide geriatric-care specialists with greater insights to the elderly and evaluation of their behavioral problems. Evaluations of the effectiveness of analyzing such a large video record illustrate our approach's feasibility.