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An integrated system: virtual reality, haptics and modern sensing technique (VHS) for post-stroke rehabilitation
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Source Virtual Reality Software and Technology archive
Proceedings of the ACM symposium on Virtual reality software and technology table of contents
Monterey, CA, USA
SESSION: Human performance in virtual spaces table of contents
Pages: 59 - 62  
Year of Publication: 2005
ISBN:1-59593-098-1
Authors
Shih-Ching Yeh  University of Southern California, Los Angeles, CA
Albert Rizzo  University of Southern California, Los Angeles, CA
Weirong Zhu  University of Southern California, Los Angeles, CA
Jill Stewart  University of Southern California, Los Angeles, CA
Margaret McLaughlin  University of Southern California, Los Angeles, CA
Isaac Cohen  University of Southern California, Los Angeles, CA
Younbo Jung  University of Southern California, Los Angeles, CA
Wei Peng  University of Southern California, Los Angeles, CA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 49,   Citation Count: 2
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ABSTRACT

In this paper, we introduce an interdisciplinary project, involving researchers from the fields of Physical Therapy, Computer Science, Psychology, Communication and Cell Neurobiology, to develop an integrated virtual reality, haptics and modern sensing technique system for post-stroke rehabilitation. The methodology to develop the system includes identification of movement pattern, development of simulated task and diagnostics. Each part of the methodology can be achieved through several sub-steps that are described in detail in this paper. The system is designed from Physical Therapy perspective that can address the motor rehabilitation needs of stroke patients. The system is implemented through stereoscopic displays, force feedback devices and modern sensing techniques that have game-like features and can capture accurate data for further analysis. Diagnostics and evaluation can be made through an Artificial Intelligence based model using collected data and clinical tests have been conducted.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
McLaughlin, M., Rizzo, A., Jung, Y., Peng, W., Yeh, S., Zhu, W., and the USC/UT Consortium for Interdisciplinary Research (accepted for presentation), Haptics-enhanced virtual environments for stroke rehabilitation. Proc. IPSI 2005, Cambridge, MA
 
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Rizzo, A., Kim, G., Cohen, I., Shih-Ching Y. & Hwang, J. (2004). Virtual Reality Based Motor Rehabilitation. 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. San Francisco, CA. Sept. 1-5, 2004


Collaborative Colleagues:
Shih-Ching Yeh: colleagues
Albert Rizzo: colleagues
Weirong Zhu: colleagues
Jill Stewart: colleagues
Margaret McLaughlin: colleagues
Isaac Cohen: colleagues
Younbo Jung: colleagues
Wei Peng: colleagues