Human motion analysis for biomechanics and biomedicine
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[1] A. Kuo. A least-squares estimation approach to improving the precision of inverse dynamics computations. , 1998, Journal of biomechanical engineering.
[2] H. Hemami,et al. Stability and a control strategy of a multilink musculoskeletal model with applications in FES , 1998, IEEE Transactions on Biomedical Engineering.
[3] David C. Brogan,et al. Animating human athletics , 1995, SIGGRAPH.
[4] Yuan F. Zheng,et al. Dynamics and Control of Motion on the Ground and in the Air with Application to Biped Robots , 1984, J. Field Robotics.
[5] Alex S. Fukunaga,et al. Further experience with controller-based automatic motion synthesis for articulated figures , 1995, TOGS.
[6] Larry H. Matthies,et al. Kalman filter-based algorithms for estimating depth from image sequences , 1989, International Journal of Computer Vision.
[7] F.E. Zajac,et al. Restoring unassisted natural gait to paraplegics via functional neuromuscular stimulation: a computer simulation study , 1990, IEEE Transactions on Biomedical Engineering.
[8] H. Hemami,et al. Modeling and control of constrained dynamic systems with application to biped locomotion in the frontal plane , 1979 .
[9] Andrew P. Witkin,et al. Spacetime constraints , 1988, SIGGRAPH.
[10] S. V. Shastri,et al. A biologically consistent model of legged locomotion gaits , 1997, Biological Cybernetics.
[11] Thomas W. Calvert,et al. Goal-directed, dynamic animation of human walking , 1989, SIGGRAPH.
[12] F. Amirouche,et al. Optimization of the contact damping and stiffness coefficients to minimize human body vibration. , 1994, Journal of biomechanical engineering.
[13] A. Bryson,et al. Estimating net joint torques from kinesiological data using optimal linear system theory , 1995, IEEE Transactions on Biomedical Engineering.
[14] P. Eng,et al. Kinetics: our window into the goals and strategies of the central nervous system , 1995, Behavioural Brain Research.
[15] Lorenzo Torresani,et al. Tracking and modeling non-rigid objects with rank constraints , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[16] Yildirim Hurmuzlu,et al. Dynamics of Bipedal Gait: Part II—Stability Analysis of a Planar Five-Link Biped , 1993 .
[17] Jessica K. Hodgins,et al. Animation of dynamic legged locomotion , 1991, SIGGRAPH.
[18] Larry S. Davis,et al. Learned Models for Estimation of Rigid and Articulated Human Motion from Stationary or Moving Camera , 2004, International Journal of Computer Vision.
[19] D A Winter. Knowledge base for diagnostic gait assessments. , 1993, Medical progress through technology.
[20] J. S. Miller. DIGITAL HUMANS IN THE SIMULATED PRODUCT LIFE CYCLE , 1998 .
[21] Norman I. Badler,et al. Simulating humans: computer graphics animation and control , 1993 .
[22] Yildirim Hurmuzlu,et al. Dynamics of Bipedal Gait: Part I—Objective Functions and the Contact Event of a Planar Five-Link Biped , 1993 .
[23] Alex Pentland,et al. Looking at People: Sensing for Ubiquitous and Wearable Computing , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[24] A. J. van den Bogert,et al. Simulation of quadrupedal locomotion using a rigid body model. , 1989, Journal of biomechanics.
[25] Daniel Thalmann,et al. Complex models for animating synthetic actors , 1991, IEEE Computer Graphics and Applications.
[26] Yuan F. Zheng,et al. Initiation of walk and tiptoe of a planar nine-link biped , 1982 .
[27] P. Crago,et al. Feedback control of electrically stimulated muscle using simultaneous pulse width and stimulus period modulation , 1991, IEEE Transactions on Biomedical Engineering.
[28] A E Patla,et al. Intralimb dynamics simplify reactive control strategies during locomotion. , 1997, Journal of biomechanics.
[29] E. Chao,et al. Application of optimization principles in determining the applied moments in human leg joints during gait. , 1973, Journal of biomechanics.
[30] Rama Chellappa,et al. Estimation of Object Motion Parameters from Noisy Images , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.