Visual-feedback distortion in a robotic rehabilitation environment

Proceedings of the IEEE

Volumn 94, Issue 9, 2006, Pages 1739-1750

  Brewer, Bambi R ^a   Klatzky, Roberta L ^b   Matsuoka, Yoky ^a,c  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Feedback distortion; Hand; Rehabilitation robotics; Stroke; Traumatic brain injury

Indexed keywords

BIOLOGICAL ORGANS; BRAIN; FEEDBACK CONTROL; MEDICAL PROBLEMS; PATIENT REHABILITATION;

FEEDBACK DISTORTION; HANDS; REHABILITATION ROBOTICS; STROKES; TRAUMATIC BRAIN INJURY;

ROBOTICS;

EID: 33947302563     PISSN: 00189219     EISSN: None     Source Type: Journal    
DOI: 10.1109/JPROC.2006.880715     Document Type: Article

References (38)

1. Heart disease and stroke statistics - 2004 update. [Online]. Available: http://www.americanheart.org
2. Traumatic brain injury: Hope through research. [Online]. Available: http://www.ninds.nih.gov/health_and_medical/pubs/TBI.htm
3. B. T. Volpe, H. I. Krebs, N. Hogan, O. L. Edelstein, C. Diels, and M. Aisen, "A novel approach to stroke rehabilitation: Robot-aided sensorimotor stimulation," Neurology, vol. 54, pp. 1938-1944, 2000.
4. D. J. 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. Res. Develop., vol. 37, pp. 653-662, 2000.
5. P. S. Lum, C. G. Burgar, P. C. Shor, M. Majmundar, and M. Van der Loos, "Robot-assisted movement training compared with conventional therapy techniques for the rehabilitation of upper-limb motor function after stroke," Arch. Phys. Med. Rehabil., vol. 83, pp. 952-959, 2002.
6. J. L. Patton, M. E. Phillips-Stoykov, and F. A. Mussa-Ivaldi, "Evaluation of robotic training forces that either enhance or reduce error in chronic hemiparetic stroke survivors," Exp. Brain Res., 2005, conditionally accepted pending revisions.
7. O. Bock, "Load compensation in human goal-directed arm movements," Behav. Brain Res., vol. 41, pp. 167-177, 1990.
8. J. E. Lateiner and R. L. Sainburg, "Differential contributions of vision and proprioception to movement accuracy," Exp. Brain Res., vol. 151, pp. 446-454, 2003.
9. Y. Rossetti, M. Desmurget, and C. Prablanc, "Vectorial coding of movement: Vision, proprioception, or both?" J. Neurophysiol., vol. 74, pp. 457-463, 1995.
10. S. J. Sober and P. N. Sabes, "Multisensory integration during motor planning," J. Neurosci., vol. 23, pp. 6982-6992, 2003.
11. R. J. van Beers, A. C. Sittig, and J. J. Denier van der Gon, "How humans combine simultaneous proprioceptive and visual position information," Exp. Brain Res., vol. 111, pp. 253-261, 1996.
12. _, "The precision of proprioceptive position sense," Exp. Brain Res., vol. 122, pp. 367-377, 1998.
13. A. Bandura and D. Cervone, "Self-evaluative and self-efficacy mechanisms governing the motivational effects of goal systems," J. Personality Social Psychol., vol. 45, pp. 1017-1028, 1983.
14. _, "Differential engagement of self-reactive influences in cognitive motivation," Organizational Behav. Hum. Decision Processes, vol. 38, pp. 92-113, 1986.
15. J. W. Atkinson, An Introduction to Motivation. New York: Van Nostrand Reinhold, 1964.
16. B. R. Brewer, R. Klatzky, and Y. Matsuoka, "Perceptual limits for a robotic rehabilitation environment using visual feedback distortion," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 13, no. 1, pp. 1-11, Mar. 2005.
17. L. A. Jones, "Matching forces: Constant errors and differential thresholds," Perception, vol. 18, no. 5, pp. 681-687, 1989.
18. Y. Matsuoka, S. Allin, and R. Klatzky, "The tolerance for visual feedback distortions in a virtual environment," Physiol. Behav., vol. 77, no. 4-5, pp. 651-655, Dec. 2002.
19. M. Pagan, Y. Matsuoka, and R. Klatzky, "Feedback distortion for rehabilitation: Gauging perceived physical effort," in Proc. 11th IEEE Symp. Haptic Interfaces for Virtual and Teloperator Systems. 2003, pp. 159-165.
20. B. R. Brewer, R. Klatzky, and Y. Matsuoka, "Feedback distortion to increase strength and mobility," in Proc. 8th Int. Conf. Rehabilitation Robotics, 2003, pp. 258-261.
21. _, "Effects of visual feedback distortion for the elderly and the motor-impaired in a robotic rehabilitation environment," in Proc. 2004 IEEE Int. Conf. Robotics and Automation, pp. 2080-2085.
22. Y. Benjamini and Y. Hochberg, "Controlling the false discovery rate: A practical and powerful approach to multiple testing," J. Roy. Stat. Soc. B, Methodol., vol. 57, pp. 289-300, 1995.
23. A. Brashear, R. Zafonte, M. Corcoran, N. Galvez-Jimenez, J. M. Gracies, M. F. Gordon, A. McAfee, K. Ruffing, B. Thompson, M. Williams, C. H. Lee, and C. Turkel, "Inter- and intrarater reliability of the Ashworth scale and the disability assessment scale in patients with upper-limb poststroke spasticity," Arch. Phys. Med. Rehabil., vol. 83, pp. 1349-1354, 2002.
24. E. Taub, J. E. Crago, and K. L. McCulloch, Arm Motor Ability Test (AMAT) - Manual. Birmingham, AL: Univ. Alabama at Birmingham Press.
25. B. Kopp, A. Kunkel, H. Flor, T. Platz, U. Rose, K. H. Mauritz, K. Gresser, K. L. McCulloch, and E. Taub, "The arm motor ability test: Reliability, validity, and sensitivity to change of an instrument for assessing disabilities in activities of daily living," Arch. Phys. Med. Rehabil., vol. 78, pp. 615-620, 1997.
26. J. H. van der Lee, H. Beckerman, G. J. Lankhorst, and L. M. Bouter, "The responsiveness of the action research arm test and the Fugl-Meyer assessment scale in chronic stroke patients," J. Rehabil. Med., vol. 33, pp. 110-113, 2001.
27. J. H. Van der Lee, V. De Groot, H. Beckerman, R. C. Wagenaar, G. J. Lankhorst, and L. M. Bouter, "The intra- and interrater reliability of the action research arm test: A practical test of upper extremity function in patients with stroke," Arch. Phys. Ated. Rehabil., vol. 82, pp. 14-19, 2001.
28. I. Rock and J. Victor, "Vision and touch: An experimentally created conflict between the two senses," Science, vol. 143, pp. 594-596, 1964.
29. M. O. Ernst and M. S. Banks, "Humans integrate visual and haptic information in a statistically optimal fashion," Nature, vol. 415, pp. 429-433, 2002.
30. R. B. Welch and D. H. Warren, "Immediate perceptual response to intersensory discrepancy," Psychol. Bull., vol. 88, pp. 638-667, 1980.
31. G. Singer and R. H. Day, "Visual capture of haptically judged depth," Perception Psychophys., vol. 5, pp. 315-316, 1969.
32. M. A. Srinivasan, G. L. Beauregard, and D. L. Brock, "The impact of visual information on the haptic perception of stiffness in virtual environments," Proc. ASME Dyn. Syst. Control Div., vol. 58, pp. 555-559, 1996.
33. S. J. Lederman and R. Klatzky, "Multimodal texture perception," in Handbook of Multisensory Processes, B. Stein, Ed. Cambridge, MA: MIT Press, in press.
34. M. A. Heller, "Haptic dominance in form perception: Vision versus proprioception," Perception, vol. 21, pp. 655-660, 1992.
35. _, "Haptic dominance in form perception with blurred vision," Perception, vol. 12, pp. 607-613, 1983.
36. P. R. Schrater and D. Kersten, "How optimal depth cue integration depends on the task," Int. J. Comput. Vis., vol. 40, pp. 73-91, 2000.
37. M. A. Heller, J. A. Calcaterra, S. L. Green, and L. Brown, "Intersensory conflict between vision and touch: The response modality dominates when precise, attention-riveting judgments are required," Perceplion Psychophys., vol. 61, pp. 1384-1398, 1999.
38. M. O. Ernst, M. S. Banks, and H. H. Bulthoff, "Touch can change visual slant perception," Nature Neurasci., vol. 3, pp. 69-73, 2000.