Stephen J. Dorgan
- 1.S J. Dorgan and M. J. O'Malley," A non-hnear mathematical model for elecmcally stimulated skeletal muscle ", IEEE Tra~ Rehab Eng, vol 5, pp 179-194, 1997.Google Scholar
Cross Ref
- 2.S. J. Dorgan and M J O'Malley, "A mathematical model for skeletal muscle activated by N-let pulse trams", IEEE Trans Rehab Eng, vol 6, pp. 286-299, 1998.Google ScholarCross Ref
- 3.S. J Dorgan, R Riener, M J. O'Malley and A. M. de Paor, "A model for electrically activated mammalian muscle captunng N-let behavlours", Proc. 18th IEEE EMBS Conf., Amsterdam, 1996.Google Scholar
- 4.S. J Dorgan, "On calcmm dynamics and the mechanisms responsible for non-hnear summauons in mammalian muscle", Proc 4~k Int. Congress Int. Neuromodul. Soc., pp. 251, 1998.Google Scholar
- 5.S. J. Dorgan and R. Paener, "A physiologically based neuromusculoskeletal model for the design of FNS control strategies", Proc 20~ IEEE EMB$ Conf , pp 2598-2601, 1998Google ScholarCross Ref
- 6.S J. Dorgan, R. Richer and M. J. O'Malley, "Controlling skeletal muscle using N-let pulse trains", Proc 2"'t Ann Conf. Int. FES Soc., Vancouver, pp. 113-114, 1997.Google Scholar
- 7.T. Ch. Fuhr, R. RJener and G. Schmdt, "A novel control scheme incorporating voluntary contnbutmns for the closed-loop control of neumprostheses", Proc. 217h IEEE EMB$ Conf., pp. 2609-2612, 1998Google Scholar
- 8.H. l-{atze, "A myocybemetic control model of skeletal muscle", Blol Cybern., vol. 25, pp. 103-119, 1977.Google ScholarDigital Library
- 9.B. Htlle, Ionic Channels in Excitable Membranes, Sunderland, MA: Smauer Associates Inc., 1984.Google Scholar
- 10.A. L. Hodgkin and A. F. Huxley, "A qualitative description of membrane current and its application to conduction and excitation m nerve", J Physiol, vol. 117, pp 500-51 I, 1952Google ScholarCross Ref
- 11.Z. Z Karu, W. K. Durfee and A. M. Barzali, "Reducing muscle fatigue in FES applicatmns by stimulating with N-let pulse trains," IEEE Trans. Btomed. Eng., vol. 42, pp 809-817, 1995.Google ScholarCross Ref
- 12.R. Kobetm and E. B. Marsolms, "Synthesis of paraplegic gait with multmhannel functional neuromuscular stimulation," IEEE Trans. Rehab. Eng., vol. 2, pp. 66-79, 1994Google ScholarCross Ref
- 13.A. Kralj and T. Bajd, Functional electrical stimulation' Standmg and walkmg after spinal cord injury, Boca Raton: CRC Press, 1989.Google Scholar
- 14.B. M Nlgg and W. Herzog, Btomechantcs of the musculo-skeletal system, New York: J Wiley & Sons, 1994.Google Scholar
- 15.J. Ohya, "Face/Gesture analysis/synthesis technologies for humanto-human communications through virtual environments", this Volume, 1998.Google Scholar
- 16.J. Perry, Gait Analysts. Normal and Pathological Function, New York: McGraw-Hill, 1992.Google Scholar
- 17.R. Redly, "Applications of face and gesture recognition for humancomputer interaction", this Volume, 1998.Google Scholar
- 18.R Rlener& T. Edrich, "Significance of passive joint moments in FES',Proc. 2"d IFESS Conf., pp. 103-106, 1997.Google Scholar
- 19.R. Paener and A. Straube, "Inverse dynamics as a tool for motion analysis arm tracking movements in cerebellar patients", J Neurosci. Methods, pp 87-96, 1997Google Scholar
- 20.R. Richer and T. Fuhr, "Patient-driven control of FES supported standing up' A simulation study", IEEE Trans Rehab Eng, vol 6, pp. 113-124, 1998.Google ScholarCross Ref
- 21.R B. Stein, P. H Peckham and D. B. Popovic, Neural prostheses: replacing motor function after disease or disabthty, New York Oxford Urn. Press, 1992.Google Scholar
- 22.J. M. Winters and $. L.-Y. Woo, Ed s, Multiple muscle systems, New York: Springer-Verlag, 1990.Google Scholar
- 23.F. E. Zajac, "Muscle and tendon' Properties, models, scaling, and application to bmmechamcs and motor control," Crtt Rev. Btomed Eng., vol. 17, pp. 359-410, 1989.Google Scholar
Index Terms
- Tracking, modelling and animation in human motion analysis, diagnosis and synthesis
Recommendations
Human Motion Analysis
Human motion analysis is receiving increasing attention from computer vision researchers. This interest is motivated by a wide spectrum of applications, such as athletic performance analysis, surveillance, man machine interfaces, content-based image ...
Motion Improvisation: 3D Human Motion Synthesis with a Transformer
UIST '21 Adjunct: Adjunct Proceedings of the 34th Annual ACM Symposium on User Interface Software and TechnologyThe synthesis of complicated and realistic human motion is a challenging problem and is a significant task for game, film and animation industries. Many existing methods rely on complex and time-consuming keyframe-based methods that demand professional ...
Comments