The Resource Human fall detection using a circular audio sensor array, by Zhiling Zeng, (electronic resource)

Human fall detection using a circular audio sensor array, by Zhiling Zeng, (electronic resource)

Label
Human fall detection using a circular audio sensor array
Title
Human fall detection using a circular audio sensor array
Statement of responsibility
by Zhiling Zeng
Creator
Contributor
Thesis advisor
Subject
Genre
Language
eng
Summary
According to the U.S. Census Bureau estimate (March 2010), there were 38.9 million people 65 years and older in the United States in 2008. In 2005, 15,800 people 65 years and older died, and an estimated 1.8 million people 65 years and older were treated in emergency departments for nonfatal injuries from falls. In order to offer help in a timely manner following a fall, many researchers and scientists have already proposed several human fall detection devices. The challenging task is to design a fall detector that is robust, accurate, not intrusive and generally accepted by old adults. In this work, we propose a circular microphone sensor array for detecting falls and generating a message to caregiver and medical supporter automatically. This novel fall detection system leverages the existing research and expertise from the Center for Eldercare and Rehabilitation Technologies (CERT) at the University of Missouri. This approach does not require users to manually activate or wear a sensor device. In previous work, members of CERT developed a linear microphone array. In this work, we are interested in a circular audio sensor array that has improved fall location. We have a stunt actor perform fall for us and we test our system by conducting a set of comparison of experiments. The results of our experiments confirm that the fall detection performance of our system is promising
Cataloging source
MUU
http://library.link/vocab/creatorDate
1985-
http://library.link/vocab/creatorName
Zeng, Zhiling
Degree
M. S.
Dissertation year
2010.
Granting institution
University of Missouri-Columbia
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • theses
http://library.link/vocab/relatedWorkOrContributorDate
1962-
http://library.link/vocab/relatedWorkOrContributorName
Popescu, Mihail
http://library.link/vocab/subjectName
  • Falls (Accidents)
  • Older people
  • Patient monitoring
  • Acoustical engineering
  • Signal processing
Target audience
specialized
Label
Human fall detection using a circular audio sensor array, by Zhiling Zeng, (electronic resource)
Instantiates
Publication
Note
  • The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file
  • Title from PDF of title page (University of Missouri--Columbia, viewed on April 29, 2011)
  • Thesis advisor: Dr. Mihail Popescu
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Control code
717486226
Extent
1 online resource (ix, 68 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
Access is limited to the University of Missouri--Columbia only.
Other physical details
illustrations (some color).
Specific material designation
remote
System control number
(OCoLC)717486226
Label
Human fall detection using a circular audio sensor array, by Zhiling Zeng, (electronic resource)
Publication
Note
  • The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file
  • Title from PDF of title page (University of Missouri--Columbia, viewed on April 29, 2011)
  • Thesis advisor: Dr. Mihail Popescu
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Control code
717486226
Extent
1 online resource (ix, 68 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
Access is limited to the University of Missouri--Columbia only.
Other physical details
illustrations (some color).
Specific material designation
remote
System control number
(OCoLC)717486226

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
    • Engineering Library & Technology CommonsBorrow it
      W2001 Lafferre Hall, Columbia, MO, 65211, US
      38.946102 -92.330125
Processing Feedback ...