Title :
A virtual reality application for stroke patient rehabilitation
Author :
White, D. ; Burdick, K. ; Fulk, G. ; Searleman, J. ; Carroll, J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wallace H. Coulter Sch. of Eng., Potsdam, NY, USA
fDate :
29 July-1 Aug. 2005
Abstract :
Virtual reality (VR) has shown promise as an intervention technique to improve motor function in individuals with stroke and neurological disorders. VR can provide a powerful human-computer interface that allows clients to interact with a virtual environment (VE) and experience a simulated world comparable to the real world (Gallichio and Kluding, 2004). One can manipulate objects in a VE using various VR peripherals, e.g., motion capture, data gloves, etc. The VE can be structured to provide stimulating audiovisual feedback that promotes motor learning and enhances participation in a rehabilitation process. VR based interventions permit rehabilitation professionals to shape target tasks according to the abilities of an individual client. VE\´s offer the potential of greater engagement of a client in treatment sessions and thus increase sensory feedback to enhance motor learning. In addition, the ability to gather real-time motion capture data allows therapists to quantitatively document change and assist in the diagnosis of movement dysfunction. This paper describes a software application under development that permits the delivery of customized physical therapy interventions via a variety of display types. The design and implementation of a virtual kitchen used to practice common daily-living activities is described. Joint angle data is captured as clients complete specified daily-living tasks within the VE, e.g., making a virtual cup of coffee. Client motion is visualized using a virtual "arm" that provides patient feedback within the VE. Associated motion capture data can be used to quantitatively assess the effectiveness of the VR-based physical therapy intervention within the developed software application.
Keywords :
data visualisation; graphical user interfaces; medical computing; virtual reality; client motion visualization; human-computer interface; motor learning; movement dysfunction diagnosis; neurological disorders; physical therapy; stroke patient rehabilitation; virtual arm; virtual environment; virtual kitchen; virtual reality; Application software; Data gloves; Data visualization; Glass; Large screen displays; Medical treatment; Patient rehabilitation; Shape; Virtual environment; Virtual reality;
Conference_Titel :
Mechatronics and Automation, 2005 IEEE International Conference
Print_ISBN :
0-7803-9044-X
DOI :
10.1109/ICMA.2005.1626702