DocumentCode
456421
Title
3D Motion Capture Methods for Pathological and Non-pathological Human Motion Analysis
Author
Kertés, Zsolt ; Lovanyi, I.
Author_Institution
Dept. of Process Control & Inf. Technol., BUTE Budapest
Volume
1
fYear
0
fDate
0-0 0
Firstpage
1062
Lastpage
1067
Abstract
In this article, we present novel methods of medical examinations that use state of the art utilities, namely motion capturing as a basis to replace traditional methods. The 3D representation of the patient\´s activity, analyzed through motion capture process, provides the clinician a more objective view of the patient\´s movements and problem areas. It provides the clinician or therapist a new method to manage the entire spectrum of the rehabilitation process from diagnosis through discharge. 3D analysis of the patient\´s motions provides the therapist detailed and quantified data relative to the patient\´s injury or disability. The infinite 3D views allow visualization of motion from every angle that 2D video reproduction simply cannot provide. The proposed system can measure the rehabilitation movements that are required to obtain the desired "clinical outcome", and track the progress towards these individualized goals. Based on preliminary experiments the design metrics of measuring configuration for these motion patterns has been prepared. The implementation phase of a new diagnostic tool is just going on. In close cooperation with medical specialists we determined the exercises and motion patterns applicable during examination and rehabilitation of locomotion diseases. We made comparative tests regarding the lumbar region
Keywords
image motion analysis; image representation; medical image processing; patient diagnosis; patient rehabilitation; 3D motion capture; locomotion disease rehabilitation; lumbar region; medical examination; nonpathological human motion analysis; pathological human motion analysis; patient disability; patient injury; patient motion pattern; rehabilitation process; ultrasound-base distance measure; wireless sensor network; Data visualization; Diseases; Humans; Injuries; Medical diagnostic imaging; Motion analysis; Motion measurement; Pathology; Testing; Tracking; human motion analysis; motion capture; ultrasound-base distance measure; wireless sensor network;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location
Damascus
Print_ISBN
0-7803-9521-2
Type
conf
DOI
10.1109/ICTTA.2006.1684521
Filename
1684521
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