Vision-based posture assessment to detect and categorize compensation during robotic rehabilitation therapy

Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics

Volumn , Issue , 2012, Pages 1607-1613

  Taati, Babak ^a   Wang, Rosalie ^a   Huq, Rajibul ^a   Snoek, Jasper ^a   Mihailidis, Alex ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE LEARNING; DEPTH CAMERA; MANUAL ANNOTATION; MULTI-CLASS CLASSIFIER; MULTI-STAGE; POSTURE ASSESSMENT; REAL TIME MONITORING; ROBOTIC REHABILITATION; TEMPORAL DYNAMICS; TRACKING ALGORITHM; TRAINING DATA; UPPER LIMBS; VISION BASED;

CLASSIFICATION (OF INFORMATION);

ROBOTICS;

EID: 84867436073     PISSN: 21551774     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BioRob.2012.6290668     Document Type: Conference Paper

References (21)

1. B. H. Dobkin, "Clinical practice, rehabilitation after stroke," New England J Medicine, 352, pp. 1677-1684, 2005.
2. S. E. Fasoli, H. I. Krebs, and N. Hogan, "Robotic technology and stroke rehabilitation: Translating research into practice," Topics in Stroke Rehabilitation, vol. 11, no. 4, pp. 11-19, 2004.
3. E. Lu, R. Wang, R. Huq, D. Gardner, P. Karam, K. Zabjek, D. Hebert, J. Boger, and A. Mihailidis, "Development of a robotic device for upper limb stroke rehabilitation: A user-centered design approach (to appear)," Paladyn. J. Behavioral Robotics, 2012.
4. P. Kan, R. Huq, J. Hoey, R. Goetschalckx, and A. Mihailidis, "The development of an adaptive upper-limb stroke rehabilitation robotic system," J. Neuroengineering and Rehabiliation, 8(33), 2011.
5. M. C. Cirstea and M. F. Levin, "Compensatory strategies for reaching in stroke," Brain: A journal of neurology, 123(5), pp. 940-953, 2000.
6. C. Gowland, P. Stratford, and M. W. et al., "Measuring physical impairment and disability with the Chedoke-McMaster Stroke Assessment," Stroke, 24(1), pp. 58-63, 1993.
7. P. Lum, S. Mulroy, R. Amdur, P. Requejo, B. Prilutsky, and A. Dromerick, "Gains in upper extremity function after stroke via recovery or compensation: Potential differential effects on amount of real-world limb use," Topics in Stroke Rehabilitation, 16(4), pp. 237-253, 2009.
8. B. Najafi, K. Aminian, A. Paraschiv-Ionescu, F. Loew, C. J. Bula, and P. Robert, "Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly," IEEE Trans Biomedical Engineering, 50(6), pp. 711-723, 2003.
9. A. Tognetti, F. Lorussi, R. Bartalesi, S. Quaglini, M. Tesconi, G. Zupone1, and D. D. Rossi, "Wearable kinesthetic system for capturing and classifying upper limb gesture in post-stroke rehabilitation," J. Neuroengineering and Rehabiliation, 2(8), 2005.
10. S. Conroy, J. Whitall, L. Dipietro, L. Jones-Lush, M. Zhan, M. Finley, G. Wittenberg, H. K. HI, and C. Bever, "Effect of gravity on robotassisted motor training after chronic stroke: A randomized trial," Archives of Physical Medicine and Rehabilitation, 92, pp. 1754-1761, 2011.
11. L. Mundermann, S. Corazza, and T. P. Andriacchi, "The evolution of methods for the capture of human movement leading to markerless motion capture for biomechanical applications," J. NeuroEngineering and Rehabilitation, 6(3), 2006.
12. S. J. Allin, C. Beach, A. Mitz, and A. Mihailidis, "Video based analysis of standing balance in a community center," IEEE EMBC, pp. 4531-4534, 2008.
13. M. Belshaw, B. Taati, J. Snoek, and A. Mihailidis, "Towards a single sensor passive solution for automated fall detection," IEEE EMBC, pp. 1773-1776, 2011.
14. E. Stone and M. Skubic, "Evaluation of an inexpensive depth camera for in-home gait assessment," J Ambient Intelligence and Smart Environments, pp. 349-361, 2011.
15. E. Auvinet, F. Multon, and J. Meunier, "Gait analysis with multiple depth cameras," IEEE EMBC, pp. 6265-6268, 2011.
16. Prime Sensor NITETM1.3 Algorithms Notes, PrimeSense Inc., 2010.
17. R. Huq, P. Kan, R. Goetschalckx, D. Hebert, J. Hoey, and A. Mihailidis, "A decision-theoretic approach in the design of an adaptive upper-limb stroke rehabilitation robot," IEEE Intl Conf Rehab Robotics, pp. 589-596, 2011.
18. B. Taati, J. Snoek, and A. Mihailidis, "Towards aging-in-place: Automatic assessment of product usability for older adults with dementia," IEEE-HISB, 2011.
19. H. Sakoe and S. Chiba, "Dynamic programming algorithm optimization for spoken word recognition," IEEE Tran Acoustics, Speech and Signal Processing, 26(1), pp. 43-49, 1978.
20. G. A. F. Seber, Multivariate Observations. Hoboken, NJ: John Wiley & Sons Inc., 1984.
21. J. R. Landis and G. G. Koch, "The measurement of observer agreement for categorical data," Biometrics, 33(1), pp. 159-174, 1977.