A visual context-awareness-based sleeping-respiration measurement system

Yung Ming Kuo, Jiann Shu Lee, Pau Choo Chung

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

Due to the rapid growth of the elderly population, improving specific aspects of elderly healthcare has become more important. Sleeping care systems for the elderly are rare. In this paper, we propose a visual context-aware-based sleeping-respiration measurement system that measures the respiration information of elderly sleepers. Accurate respiration measurement requires considering all possible contexts for the sleeping person. The proposed system consists of a body-motion-context-detection subsystem, a respiration-context- detection subsystem, and a fast motion-vector-estimation-based respiration measurement subsystem. The system yielded accurate respiratory measurements for our study population.

Original languageEnglish
Article number5325889
Pages (from-to)255-265
Number of pages11
JournalIEEE Transactions on Information Technology in Biomedicine
Volume14
Issue number2
DOIs
Publication statusPublished - 2010 Mar 1

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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