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Active human gesture capture for diagnosing and treating movement disorders
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för tillämpad fysik och elektronik. (Digital Media Lab)
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för tillämpad fysik och elektronik.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för tillämpad fysik och elektronik.
2013 (engelsk)Konferansepaper, Publicerat paper (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
2013.
HSV kategori
Identifikatorer
URN: urn:nbn:se:umu:diva-83352OAI: oai:DiVA.org:umu-83352DiVA, id: diva2:666131
Konferanse
Proceeding of The Swedish Symposium on Image Analysis (SSBA2013), Gothenburg, Sweden
Tilgjengelig fra: 2013-11-22 Laget: 2013-11-22 Sist oppdatert: 2018-06-08bibliografisk kontrollert

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Active Human Gesture Capture for Diagnosing and Treating Movement Disorders(453 kB)366 nedlastinger
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Fil FULLTEXT01.pdfFilstørrelse 453 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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