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

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

Research output: Contribution to journalArticle

26 Citations (Scopus)

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 1 2010

Fingerprint

Wireless networks
Communication
Gait analysis
Costs
Cameras
Modulation
Bandwidth

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

A remote markerless human gait tracking for e-healthcare based on content-aware wireless multimedia communications. / Luo, Haiyan; Ci, Song; Wu, Dalei; Stergiou, Nicholas; Siu, Joseph Ka-Chun.

In: IEEE Wireless Communications, Vol. 17, No. 1, 5416349, 01.02.2010, p. 44-50.

Research output: Contribution to journalArticle

@article{cb06c14b5ab34692ba98052a64e94685,
title = "A remote markerless human gait tracking for e-healthcare based on content-aware wireless multimedia communications",
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.",
author = "Haiyan Luo and Song Ci and Dalei Wu and Nicholas Stergiou and Siu, {Joseph Ka-Chun}",
year = "2010",
month = "2",
day = "1",
doi = "10.1109/MWC.2010.5416349",
language = "English (US)",
volume = "17",
pages = "44--50",
journal = "IEEE Wireless Communications",
issn = "1536-1284",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

TY - JOUR

T1 - A remote markerless human gait tracking for e-healthcare based on content-aware wireless multimedia communications

AU - Luo, Haiyan

AU - Ci, Song

AU - Wu, Dalei

AU - Stergiou, Nicholas

AU - Siu, Joseph Ka-Chun

PY - 2010/2/1

Y1 - 2010/2/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77649132930&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77649132930&partnerID=8YFLogxK

U2 - 10.1109/MWC.2010.5416349

DO - 10.1109/MWC.2010.5416349

M3 - Article

AN - SCOPUS:77649132930

VL - 17

SP - 44

EP - 50

JO - IEEE Wireless Communications

JF - IEEE Wireless Communications

SN - 1536-1284

IS - 1

M1 - 5416349

ER -