Active human gesture capture for diagnosing and treating movement disorders
2013 (English)Conference paper (Other academic)
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
Other Medical Engineering
IdentifiersURN: urn:nbn:se:umu:diva-83352OAI: oai:DiVA.org:umu-83352DiVA: diva2:666131
Proceeding of The Swedish Symposium on Image Analysis (SSBA2013), Gothenburg, Sweden