A remote markerless human gait tracking for e-healthcare based on content-aware wireless multimedia communications

Haiyan Luo, Song Ci, Dalei Wu, Nicholas Stergiou, Ka Chun Siu

Research output: Contribution to journalArticle

29 Scopus citations

Abstract

Remote human motion tracking and gait analysis over wireless networks can be used for various e-healthcare systems for fast medical prognosis and diagnosis. However, most existing gait tracking systems rely on expensive equipment and take lengthy processes to collect gait data in a dedicated biomechanical environment, limiting their accessibility to small clinics located in remote areas. In this work we propose a new accurate and cost-effective ehealthcare system for fast human gait tracking over wireless networks, where gait data can be collected by using advanced video content analysis techniques with low-cost cameras in a general clinic environment. Furthermore, based on video content analysis, the extracted human motion region is coded, transmitted, and protected in video encoding with a higher priority against the insignificant background area to cope with limited communication bandwidth. In this way the encoder behavior and the modulation and coding scheme are jointly optimized in a holistic way to achieve the best user-perceived video quality over wireless networks. Experimental results using H.264/AVC demonstrate the validity and efficacy of the proposed system.

Original languageEnglish (US)
Article number5416349
Pages (from-to)44-50
Number of pages7
JournalIEEE Wireless Communications
Volume17
Issue number1
DOIs
StatePublished - Feb 2010

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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