Synergy-Based Optimal Sensing Techniques for Hand Pose Reconstruction
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[1] Marc H Schieber,et al. Hand function: peripheral and central constraints on performance. , 2004, Journal of applied physiology.
[2] Patrick van der Smagt,et al. Movement model of a human hand based on magnetic resonance imaging (MRI) , 2010 .
[3] K. Chaloner,et al. Bayesian Experimental Design: A Review , 1995 .
[4] David Zeltzer,et al. A survey of glove-based input , 1994, IEEE Computer Graphics and Applications.
[5] H. Harry Asada,et al. Inter-finger coordination and postural synergies in robot hands via mechanical implementation of principal components analysis , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[6] D. De Rossi,et al. Characterization of a Novel Data Glove Based on Textile Integrated Sensors , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[7] Antonio Bicchi,et al. Optimal design of multivariate sensors , 1994 .
[8] Carolyn R. Mason,et al. Hand synergies during reach-to-grasp. , 2001, Journal of neurophysiology.
[9] P. Mahalanobis. On the generalized distance in statistics , 1936 .
[10] D. De Rossi,et al. Wearable, redundant fabric-based sensor arrays for reconstruction of body segment posture , 2004, IEEE Sensors Journal.
[11] J. F. Soechting,et al. Postural Hand Synergies for Tool Use , 1998, The Journal of Neuroscience.
[12] Derek G. Kamper,et al. A low cost instrumented glove for extended monitoring and functional hand assessment , 2007, Journal of Neuroscience Methods.
[13] Matteo Bianchi,et al. A data-driven kinematic model of the human hand with soft-tissue artifact compensation mechanism for grasp synergy analysis , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[14] Xudong Zhang,et al. Determining finger segmental centers of rotation in flexion-extension based on surface marker measurement. , 2003, Journal of biomechanics.
[15] S. Gandevia,et al. Limited independent flexion of the thumb and fingers in human subjects. , 1994, The Journal of physiology.
[16] George J. Pappas,et al. A Dynamical Systems Approach to Weighted Graph Matching , 2006, CDC 2006.
[17] S C Gandevia,et al. Distribution of the forces produced by motor unit activity in the human flexor digitorum profundus , 2002, The Journal of physiology.
[18] Antonio Bicchi,et al. On the role of hand synergies in the optimal choice of grasping forces , 2010, Auton. Robots.
[19] D. Rossi,et al. New generation of wearable goniometers for motion capture systems , 2014, Journal of NeuroEngineering and Rehabilitation.
[20] J. B. Rosen. The Gradient Projection Method for Nonlinear Programming. Part I. Linear Constraints , 1960 .
[21] Paolo Dario,et al. A Survey of Glove-Based Systems and Their Applications , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[22] Monica Malvezzi,et al. Animating a Synergy-Based Deformable Hand Avatar for Haptic Grasping , 2010, EuroHaptics.
[23] Calyampudi R. Rao. The use and interpretation of principal component analysis in applied research , 1964 .
[24] Edoardo Battaglia,et al. Exploiting hand kinematic synergies and wearable under-sensing for hand functional grasp recognition , 2014 .
[25] Douglas M. Hawkins. Identification of Outliers , 1980, Monographs on Applied Probability and Statistics.
[26] Marco Santello,et al. Tracking whole hand kinematics using extended Kalman filter , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[27] Arthur Gelb,et al. Applied Optimal Estimation , 1974 .
[28] J. Abbs,et al. Finger movement responses of cutaneous mechanoreceptors in the dorsal skin of the human hand. , 1991, Journal of neurophysiology.
[29] Gabriel Baud-Bovy,et al. Neural bases of hand synergies , 2013, Front. Comput. Neurosci..
[30] Matteo Bianchi,et al. Synergy-based hand pose sensing: Optimal glove design , 2012, Int. J. Robotics Res..
[31] Matteo Bianchi,et al. Synergy-based hand pose sensing: Reconstruction enhancement , 2012, Int. J. Robotics Res..
[32] Manuel G. Catalano,et al. Adaptive synergies for the design and control of the Pisa/IIT SoftHand , 2014, Int. J. Robotics Res..