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Active human gesture capture for diagnosing and treating movement disorders
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Digital Media Lab)
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
2013 (English)Conference paper, Published paper (Other academic)
Abstract [en]

Movement disorders prevent many people fromenjoying their daily lives. As with other diseases, diagnosisand analysis are key issues in treating such disorders.Computer vision-based motion capture systems are helpfultools for accomplishing this task. However Classical motiontracking systems suffer from several limitations. First theyare not cost effective. Second these systems cannot detectminute motions accurately. Finally they are spatially limitedto the lab environment where the system is installed. In thisproject, we propose an innovative solution to solve the abovementionedissues. Mounting the camera on human body, webuild a convenient, low cost motion capture system that canbe used by the patient in daily-life activities. We refer tothis system as active motion capture, which is not confinedto the lab environment. Real-time experiments in our labrevealed the robustness and accuracy of the system.

Place, publisher, year, edition, pages
2013.
National Category
Other Medical Engineering
Identifiers
URN: urn:nbn:se:umu:diva-83352OAI: oai:DiVA.org:umu-83352DiVA: diva2:666131
Conference
Proceeding of The Swedish Symposium on Image Analysis (SSBA2013), Gothenburg, Sweden
Available from: 2013-11-22 Created: 2013-11-22 Last updated: 2014-03-04Bibliographically approved

Open Access in DiVA

Active Human Gesture Capture for Diagnosing and Treating Movement Disorders(453 kB)235 downloads
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File name FULLTEXT01.pdfFile size 453 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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Abedan Kondori, FaridYousefi, ShahrouzLiu, Li
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf