Automated interpretable membership functions in human gait

2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07

Volumn , Issue , 2007, Pages 666-671

  Betancourt, B ^a,b   Kong, P W ^c   Gorripati, S ^b   Sarkodie Gyan, T ^a,b  

^a IEEE

^b 500 W University Avenue   (United States)

^c UNIVERSITY OF TEXAS AT EL PASO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; FUZZY INFERENCE; FUZZY SETS; HEALTH; HUMAN ENGINEERING; PATIENT REHABILITATION; ROBOTICS; SET THEORY;

AUTOMATED DIAGNOSIS; FUNCTIONAL GAIT; FUZZY INFERENCE ENGINES; FUZZY SETS THEORY; GAIT THERAPY; HUMAN FACTORS; HUMAN GAIT; HUMAN REASONING; INTERNATIONAL CONFERENCES; MOTION CAPTURE SYSTEMS; REHABILITATION ROBOTICS;

MEMBERSHIP FUNCTIONS;

EID: 48349139898     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICORR.2007.4428496     Document Type: Conference Paper

References (17)

1. G Loslever, P,Laassel, E.M., & Angus, J.C. (1994). Combined Statistical Study of Joint Angles and Ground Reaction Forces Using Component and Multiple Correspondence Analysis. IEEE Transactions on Biomedical Engineering, vol. 41, pp 1160-1167.
2. Eicher PS, Batshaw ML: Cerebal Palsy, Pediatric Clinics of North America 1993; vol. 40 (3): pp 537-551.
3. Petrofski, J.S., (1992), "Evaluation of a new waveform for clinical FES," J Neurol Orthop Med Surg, vol. 13, pp. 146-148.
4. B.H. Dobkin: The Clinical Science of Neurologic Rehabilitation. Oxford University Press, New York, 2003.
5. Rowe, P.J., Nicol, A.C., Kelly, I.G., Flexible goniometer computer system for assessment of hip function, Clinical Biomechanics 1989, vol. 4, pp. 68-72.
6. Troke, M., Moore, A.P., Ckeek, E., Reliability of the OSI CA 6000 spine motion analyzer with a new skin fixation system when used on the thoracic spine. Manual Therapy, 1998, vol. 3 (1), pp. 27-33.
7. Cosgrove, A.P., Graham, H.K., Mollan, R.A.B., Gait analysis in children with cerebral palsy using electrogoniometers, Presentation, British Orthopedic Research Meeting, 1991.
8. Myles, C., Rowe, P.J., Salter, P., Nicol, A., An electrogoniometer system used to investigate the ability of the elderly to ascend and descend stairs, Physiotherapy 1995, vol. 81(10), p. 640.
9. Hazelwood, M.E., Rowe, P.J., Salter, P.M., The use of electrogoniometers as a measurement tool for passive movement and gait analysis, Physiotherapy, 1995, vol. 81(10),p. 639.
10. Perry, J (1992). Gait Analysis. New York, NY: McGraw-Hill, Inc, pp. 4-6
11. Murray, M.P., Drought, A.B., & Kory, R.C. (1964). Walking Patterns of Normal Men. Journal of Bone & Joint Surgery. 1964, pp 335-360.
12. Yen, J & Langari, R (1999). Fuzzy Logic: intelligence, control, and information. Upper Saddle River, New Jersey: Prentice-Hall, pp. 29-33.
13. Cunado, D., Nixon, M.S., & Carter, J.N. (2003). Automatic extraction and description of human gait models for recognition purposes. Computer Vison and Image Understanding, vol. 90, pp. 141.
14. Chau, Tom (2001).Areview of analytical techniques for gait data. Part 1 : fuzzy, statistical and fractal methods. Statistical and fractal methods. vol. 13, pp. 49-66.
15. Sarkodie-Gyan, T, & Lam, Chum-Wah (1996). Development of a Vision-Based Measurement System for High Tolerance Determination of Manufactured Components using a Neuro-Fuzzy Algorithm. Middlesbrough, TS1 3BA, England: University of Teesside.
16. T. Sarkodie-Gyan, C.W. Lam and A.W. Campbell, Knowledge-based technical diagnostics in advanced manufacturing, Proc. of the ISATA dedicated conf. on Robotics, Motion and Machine Vision in the Automotive Industries, Stuttgart, Germany, (1995) pp. 115-119.
17. Kreinovich, V., Quintana, C., & Reznik, L. (1992). Gaussian Membership Functions Are Most Adequate in Representing Uncertainty in Measurements. NASA Johnson Space Center, North American Fuzzy Logic Processing Society (NAFIPS 1992. vol. 2, pp 618-624.