Gesture therapy: A clinical evaluation

2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009

Volumn , Issue , 2009, Pages

  Sucar, L Enrique ^a   Molina, Ariel ^a   Leder, Ronald ^b   Hernandez, Jorge ^c   Sanchez, Israel ^c  

^a INSTITUTO NACIONAL DE ASTROFÍSICA   (Mexico)

^b UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

^c NATIONAL INSTITUTE OF NEUROLOGY AND NEUROSURGERY   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

ARM MOVEMENTS; CLINICAL EVALUATION; CLINICAL TRIAL; COMPUTER VISION ALGORITHMS; COMPUTER VISION SYSTEM; ECONOMIC PRESSURES; MEXICO CITY; POTENTIAL BENEFITS; REHABILITATION TECHNOLOGY; STROKE PATIENTS; VIRTUAL ENVIRONMENTS;

COMPUTER SCIENCE; COMPUTER VISION; HEALTH CARE; PERSONAL COMPUTERS; VIRTUAL REALITY;

OCCUPATIONAL RISKS;

EID: 70350757970     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6090     Document Type: Conference Paper

References (15)

1. A. S. Association. Retrieved july 10, 2007 from http://www. strokeassociation.org, 2004.
2. R. Colombo, F. Pisano, S. Micera, A. Mazzone, C. Delconte, C. Carozza, P. Dario, and G.Minuco. Assesing mechanisms of recovery during robot-aided neurorehabilitation of the upper limb. Neurorrehabil Neural Repair, pages 50-63, 2008.
3. A. R. Fugl-Meyer, L. Jaasko, I. Leyman, S. Olsson, and S. Steglind. The post-stroke hemiplegic patient: a method for evaluation of physical performance. Scand. J. Rehabil. Med., 7:13-31, 1975.
4. S. H. Probabilistic Tracking and Reconstruction of 3D Human Motion in Monocular Video Sequences. PhD thesis, Dept. of Numerical Analysis and Compo Sci., 2001.
5. J. Hoey, A. von Bertoldi, P. Poupart, and A. Mihailidis. Assisting persons with dementia during handwashing using a partially observable markov decision process. In Proceedings of the International Conference on Vision Systems, Bielefeld, Germany, 2007.
6. S. J. Housman, V. Le, T. Rahman, R. J. Sanchez, and D. J. Reinkensmeyer. Arm-training with t-wrex after chronic stroke: Preliminary results of a randomized controlled trial. 2007.
7. A. Molina. Seguimiento Monocular 3D para Rehabilitacion. Master of science thesis, INAOE, Puebla, Mexico, 2006.
8. G. E. Quintana, L. E. Sucar, G. Azcárate, and R. Leder. Qualification of arm gestures using hidden markov models. In Proceedings ofthe IEEE International Conference on Automatic Face and Gesture Recognition, The Netherlands, 2008. IEEE.
9. L. R. Rabiner. A tutorial on hidden markov models an selected applications in speech recognition. Proceedings of the IEEE, 77:257-286, 1989.
10. D. 1. Reinkensmeyer, L. E. Kahn, M. Averbuch, A. McKenna-Cole, B. D. Schmit, and W. Z. Rymer. Understanding and treating arm movement impairment after chronic brain injury: progress with the arm guide. J. Rehabil. Re. Develop., 37(6):653-662, 2000.
11. Sanford, Moreland, Swanson, Stratford, and Gowland. Reliability of the fugl - meyer assessment of testing motor performance in patients following stroke. Physical therapy, 73:447 - 454, 1993.
12. L. Sucar, R. Leder, D. Reinkensmeyer, J. Hernández, G. Azcárate, N. C. neda, and P. Saucedo. Gesture therapy: A low-eost vision-based system for rehabilitation after stroke. In Proceedings of the First International Conference on Health Informatics, pages 107-111, Portugal, January 2008.
13. Y. Tao and H. Hu. Building a visual tracking system for home-based rehabilitation. Proc. ofthe 9 Chinese Automation and Computing Society Conference in the UK, Luton, Eng" pages 131-161, 2003.
14. Y. Tao, H. Hu, and H. Zhou. Integration of vision and inertial sensors for home-based rehabilitation. Proc. ofIEEE International Conference on Robotics and Automation, pages 106-112, 2005.
15. H. Zhou and H. Hu. Inertial motion tracking of human arm movements in stroke rehabilitation. Proc. of IEEE International Conference on Mechatronics and Automation, pages 1306 - 1311, 2005.