The peg-in-hole: A VR-based haptic assessment for quantifying upper limb performance and skills

Proceedings of the 2005 IEEE 9th International Conference on Rehabilitation Robotics

Volumn 2005, Issue , 2005, Pages 422-425

  Amirabdollahian, Farshid ^a,b,c   Gomes, Germano T ^a,d   Johnson, Garth R ^a,e  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b IEEE   (United Kingdom)

^c IEE Institutions ^*  (United Kingdom)

^d Biophysical Society   (United States)

^e ROYAL ACADEMY OF ENGINEERING   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ASSISTIVE TECHNOLOGIES (AT); IMPAIRMENTS; PEG-IN-HOLE HAPTIC ASSESSMENT;

FUNCTIONAL ASSESSMENT; INTELLIGENT CONTROL; PATIENT MONITORING; PHYSICAL THERAPY; ROBOTICS;

HUMAN REHABILITATION EQUIPMENT;

EID: 33745773713     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICORR.2005.1501133     Document Type: Conference Paper

References (15)

1. Jebsen, R.H., Taylor, N., and Trieschmann, R.B., An objective and standardised test of hand function. Arch. Phys. Med. Rehabil., 1969. 50: p. 311-19.
2. Lyle, R.C., A performance test for assessment of upper limb function in physical rehabilitation treatment and research. International Journal of Rehabilitation Research, 1981. 4: p. 483-492.
3. Light, C.M., Chappell, P.H., and Kyberd, P.J., Establishing a Standardized Clinical Assessment Tool of Pathologic and Prosthetic Hand Function: Normative Data, Reliability, and Validity. Arch. Phys. Med. Rehabil., 2002. 83(6): p. 776-783.
4. Spyers-Ashby, J.M., Stokes, M.J., Bain, P.G., and Roberts, S.J., Classification of normal and pathological tremors using a multidimensional electromagnetic system. Medical Engineering and Physics, 1999. 21(10): p. 713-723.
5. Krebs, H.I., Aisen, M.L., Volpe, B.T., and Hogan, N., Quantization of continuous arm movements in humans with brain injury, in Proceedings of the National Academy of Sciences of the United States of America. 1999. p. 4645-9.
6. Krebs, H.I., Volpe, B.T., Aisen, M.L., and Hogan, N., Increasing productivity and quality of care: Robot-aided neuro-rehabilitation. Journal of Rehabilitation Research and Development, 2000. 37(6): p. 639-652.
7. Krebs, H.I., Hogan, N., Aisen, M.L., and Volpe, B.T., Robot-Aided Neurorehabilitation. IEEE Transactions on Rehabilitation Engineering, 1998. 6(1): p. 75-87.
8. Reinkensmeyer, D.J., Kahn, L.E., Averbuch, M., McKenna-Cole, A., Schmit, B.D., and Rymer, W.Z., Understanding and treating arm movement impairment after chronic brain injury: Progress with the ARM guide. Journal of Rehabilitation Research and Development, 2000. 37(6): p. 653-662.
9. Salazar-Torres, J., Pandyan, A.D., Price, C.I.M., Davidson, R.I., Barnes, M.P., and Johnson, G.R., Does spasticity result from hyperactive stretch reflexes? Disability and Rehabilitation, 2004. 26(12): p. 756-760.
10. Bardorfer, A., Munih, M., Zupan, A., and Primozic, A., Upper Limb Motion Analysis Using Haptic Interface. IEEE Asme Transactions on Mechatronics, 2001. 6(3): p. 253-260.
11. Wade, D.T., Measurement in Neurological Rehabilitation. 1992: Oxford University Press. 408.
12. Fitts, P.M., The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology, 1954. 47: p. 381-391.
13. MacKenzie, I.S., Movement Time Prediction in Human-Computer Interfaces, in Reading in human-computer interaction, R.M. Baecker, et al., Editors. 1995, Kaufmann: CA. p. 483-493.
14. MacKenzie, I.S. and Buxton, W., Extending Fitts' Law to Two-Dimensional Tasks. CHI, 1992: p. 219.
15. Murata, A. and Iwase, H., Extending Fitts' law to a three-dimensional pointing task. Human Movement Science, 2001. 20(6): p. 791-805.