Keywords: Author list
W.J. Kargo and S.F. Giszter.
Rapid correction of aimed movements by summation of force-field primitives.
The Journal of Neuroscience, 20(1):409-426, 2000.
K. Abdel-Malek, J. Tany, W. Yu, and J. Duncan.
Human performance measures: Mathematics.
Applied ergonomics (submitted), 2001.

This papers develops a number of mathematical models for measuring human performance. This is done by modeling the arm like a robot controller and using the DH representation. From this, they define a number of measures, such as reachability, joint functionality, dexterity, effort, joint stress, potential and kinetic energy, force, work and power.

M.A. Admiraal, W.P. Medendorp, and C.C.A.M. Gielen.
Three-dimensional head and upper arm orientations during kinematically redundant movements and at rest.
Experimental Brain Research, 142:181-192, 2002.

The difference between the surface that can be fitted to rotation vectors during movement and when stationary is considered. They found that a second order surface could be fitted to both types of movements, but that there was less scatter for stationary movements. For upper arm movements (they also considered head movements) they found a correlation between the velocity and the distance from the plane.

K. Arun, T. Huand, and S. Blostein.
Least-squares fitting of two 3-d point sets.
IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-9(5):698-700, 1987.
C. Atkeson and J. Hollerbach.
Kinematic features of unrestrained vertical arm movements.
Journal of Neuroscience, 5(9):2318-2330, 1985.

As opposed to point to point movements in the horizontal plane, such movements in the vertical plane are not always straight line, they are sometimes curved. However, the path is invariant and velocity has a similar bell shaped curve.

A.P. Batista and W.T. Newsome.
Visuo-motor control: Giving the brain a hand.
Current Biology, 10:R145 - R148, 2000.

This review looks at the combination of visual and proprioception is motor movements. He considers the activity of neurons in motor systems in the brain. In cases where contradictory information is presented from the two, a decision is made about which to accept more. Either of the two alone seems to be insufficient to specify completely the arm position, however the combination of the two specify it well.

G. Baud-Bovy and P. Viviani.
Pointing to kinesthetic targets in space.
Journal of Neuroscience, 18(4):1528-1545, 1998.
W. Becker and R. Jürgens.
An analysis of the saccadic system by means of double step stimuli.
Vision Research, 19:967-983, 1979.
E.V. Biryukova, A. Roby-Brami, A.A. Frolov, and M. Mokhtari.
Kinematics of human arm reconstructed from spatial tracking system recordings.
Journal of Biomechanics, 33:985-995, 2000.

A method is presented for accurately reconstructing 7 joint angles of the arm from placing 4 Fastrak markers (each of which determines the position and orientation of the marker based on measuring a magnetic field).

S.J. Blakemore, D. Wolpert, and C. Frith.
Why can't you tickle yourself?.
Neuroreport, 11(11):R11-R16, 2000.
J. Blouin.
Control of arm movements when unconscious changes in the target position or the visual representation of the hand position occur at movement onset.
In Progress in Motor Control III abstracts, Montreal, 2001.

An experiment was performed when subjects had to move a rod towards a target in a dark room. After movement onset, either the target or the light showing the position of the hand moved slightly. The results showed that while subjects correctly accounted for a change of target location, they used the action hand location rather than the visually defined hand movement. They conclude that this suggests visual feedback of the hand is not used in control of the movement.

J. Blouin, Normand. Teasdale, C. Bard, and M. Fleury.
Control of rapid arm movements when target position is altered during saccadic suppression.
Journal of Motor Behaviour, 27(2):114-122, 1995.
P. Boulinguez, J. Blouin, and V. Nougier.
The gap effect for eye and hand movements in double-step pointing.
Experimental Brain Research, 138:352-358, 2001.

Different results are seen for double step hand movements in a plane when there is a gap between when the first disappears and the second target appears. When there is a gap, it takes longer, meaning that a different process is probably used because it has less information (it cannot use retinal error.

G. Box, W. Hunter, and J. Hunter.
Statistics for Experimenters.
John Wiley & sons, New York, 1978.
E. Brenner and J. Smeets.
Fast responses of the human hand to changes in target position.
Journal of Motor Behavior, 29(4):297-310, 1997.

In this experiment subjects had to `hit' with a rod a target projected using stereo shutters, that sometimes followed the double step paradigm. By varying the movement of the background, it was ascertained that the movement was adjusted in accordance with the change in position rather than the change in velocity.

M. Carrozzo and F. Lacquaniti.
Virtual reality : A tutorial.
Electroencenphalography and clinical Neurophysiology, 109:1-9, 1998.

A review of types of virtual reality and the tools for interacting with the virtual environment

M. Ceylan, D.Y.P. Henriques, D.B. Tweed, and J.D. Crawford.
Task-dependent constraints in motor control: Pinhole goggles make the head move like an eye.
Journal of Neuroscience, 20(7):2719-2730, 2000.
Y. Coello, J.P. Orliaguet, and C. Prablanc.
Pointing movement in an artificial perturbing inertial field: A prospective paradigm for motor control study.
Neuropsychologia, 34(9):879-892, 1996.
J. Hore, S. Watts, and T. Vilis.
Constraints on arm position when pointing in three dimensions: Donder's law and the fick gimbal strategy.
Journal of Neurophysiology, 68(2):374-383, 1992.

For straight arm pointing, the arm was found to assume a similar position at a given location regardless of the starting position, similar to Donder's law. Also, the angular position vectors lay in a surface similar to a Fick gimbal (a fixed vertical axis with a horizontal axis that `twists'). The results were only shown for straight arm pointing.

T. Cox and M. Cox.
Procrustes Analysis, chapter 5.
Chapman and Hall, London, 1994.
J. Craig.
Introduction to Robotics.
Addison-Wesley, Reading, MA, 1986.
J.D. Crawford and T. Vilis.
How do motor systems deal with the problems of controlling three-dimensional rotations?.
Journal of Motor Behavior, 27(1):89-99, 1995.
J.D. Crawford and T. Vilis.
Axes of eye rotations and listing's law during rotations of the head.
Journal of Neurophysiology, 65(3), 1991.
J.D. Crawford and D. Guitton.
Visual-motor transformations required for accurate and kinematically correct saccades.
Journal of Neurophysiology, 78:1447-1467, 1997.
J.D. Crawford and D. Guitton.
Primate head-free saccade generator implements a desired (post-VOR) eye position command by anticipating intended head motion.
Journal of Neurophysiology, 78:2811-2816, 1997.
J. Crawford.
Listing's law: what's all the hubbub?.
In Harris and Jenkin harris98.
J.D. Crawford, M.Z. Ceylan, E.M. Klier, and D. Guitton.
Three-dimensional eye-head coordination during gaze saccades in the primate.
Journal of Neurophysiology, 81:1760-1782, 1999.
C. Daniel and F. Wood.
Fitting Equations to Data.
John Wiley and Sons, New York, 1971.
D.G. Liebermann.
Intrinsic joint kinematic strategies for planning reaching and pointing movements towards 3-dimensional targets.
PhD thesis, Weizmann Institute of Science, 1998.
C. De Boor.
A Practical Guide to Splines.
Springer-Verlag, New York, 1978.
M. Desmurget, H. Grea, and C. Prablanc.
Final posture of the upper limb depends on the initial position of the hand during prehension movements.
Exp Brain Res, 119:511-516, 1998.

When performing a reaching and grasping task for a cylinder, the final posture of the arm is not invariant, but does depend, in a systematic way on the starting position. They suggest that such findings that show that posture is invariant are due to specific constraints. However they found that the strategies used were similar between subjects.

M. Desmurget and S. Grafton.
Forward modeling allows feedback control for fast reaching movements.
Trends in Cognitive Sciences, 4(11):423-431, 2000.
M. Desmurget, C. Prablanc, Y. Rossetti, M. Arzi, Y. Paulignan, C. Urquizar, and J.C. Mignot.
Postural and synergic control for three-dimensional movements of reaching and grasping.
Journal of Neurophysiology, 74(2):905-910, 1995.

Prehension movements during reach to grasp a cylinder at a range of orientations were studied. Sometimes the cylinder orientation was perturbed at movement onset. The final limb joint angles were highly predictive despite redundancy, and the same final posture was found also after the perturbation. during the movements, a generalized synergy was observed, that is, a linear relationship was seen between most of the joint angles. They suggest that movement are planned in joint angles using postural transitions.

M. Desmurget and C. Prablanc.
Postural control of three-dimensional prehension movements.
Journal of Neurophysiology, 77:452-464, 1997.

An experiment was performed to test the hypothesis that 3D upper arm movements can be planned using a mechanism based on comparing the current joint angle with the desired joint angle. They claim that such a mechanism should predict invariant posture despite kinematic redundancy and invariant joint coarticulation in joint space and variable curvature in task space. They tested this using perturbed trials where a cylindrical object which the subject had to grasp was sometimes rotated at movement onset. They observed these predictions, although the elbow joint angles passed through a via point (intermediate posture). No second velocity peak was seen for the perturbed movements, rather a smooth transition.

M. Desmurget, M. Jordan, C. Prablanc, and M. Jeannerod.
Constrained and unconstrained movements involve different control strategies.
Journal of Neurophysiology, 77:1644-1650, 1997.
M. Desmurget, D. Pélisson, Y. Rossetti, and C. Prablanc.
From eye to hand: Planning goal-directed movements.
Neuroscience and Biobehavioral Reviews, 22:761-788, 1998.
M. Desmurget, C.M. Epstein, R.S. Turner, C. Prablanc, G.E. Alexander, and S.T. Grafton.
Role of the posterior parietal cortex in updating reaching movements to a visual target..
Nature Neuroscience, 2(6):563-567, 1999.
J.F. Soechting, C.A. Buneo, U. Herrmann, and M. Flanders.
Moving effortlessly in three dimensions: Does donder's law apply to arm movement?.
Journal of Neuroscience, 15(9):6271-6290, 1995.

Donder's law, in general, for arm movements does not hold. That is you cannot predict the orientation of the arm in the final position just from knowing the position. They did find that instead the final position is one that required minimum work from the initial position

S.E. Engelbrecht.
Minimum principles in motor control.
Journal of Mathematical Psychology, 45:497-542, 2001.
J. Fan and S.K. Lin.
Test of significance when data are curves.
Journal of the American Statistical Association, 93(443):1007-1021, 1998.
M. Favilla.
Reaching movements: Mode of motor programming influences programming time by itself.
Experimental Brain Research, 144(3):414-418, 2002.
J.O. Ramsay and B.W. Silverman.
Functional data analysis.
Springer-Verlag, New York, 1997.
J.O. Ramsay.
Matlab and S-PLUS Functions for Functional Data Analysis.
McGill University, 2001.
J. Flanagan, D. Ostry, and A. Feldman.
Control of trajectory modifications in target-directed reaching.
Journal of Motor Behaviour, 25(3):140-152, 1993.
T. Flash.
The control of hand equilibrium trajectories in multi-joint arm movements.
Biological Cybernetics, 57(4-5):257-274, 1987.
T. Flash and E. Henis.
Arm trajectory modification during reaching towards visual targets.
Journal of Cognitive Neuroscience, 3:220-230, 1991.

If while executed one point to point movement in the horizontal plane and the plan is changed to move to a different location, then the original plan is not aborted, rather a superposition of the original plan and a movement from the first to the second target are combined

T. Flash and N. Hogan.
The coordination of arm movements: An experimentally confirmed mathematical model.
Journal of Neuroscience, 5(7):1688-1703, 1985.

In the horizontal plane, point to point movements have a straight line path. In curved and straight movements, the smoothness is ensured by a trajectory that minimizes jerk. This is shown under a variety of curved paths, modeled using via points, where the optimal path matches well to the experimental data.

T. Gat-Falik and T. Flash.
The superposition strategy for arm trajectory modification in robotic manipulators.
IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, 29(1):83-95, 1999.

Here a real-time implementation of the superposition strategy, as found for human horizontal planar movements, is provided for robotic manipulators for use when trajectory modification takes place. The generated trajectories satisfy the minimum jerk model. An algorithm for orientation superposition is also presented, dealing with the problem of non-commutation of rotations

A.P. Georgopoulos, J.F. Kalaska, and J.T. Massey.
Spatial trajectories and reaction times of aimed movements: Effects of practice, uncertainty, and change in target location.
Journal of Neurophysiology, 46(4):725-743, 1981.
M. Ghafouri and A.M. Feldman.
The timing of control signals underlying fast point-to-point arm movements.
Experimental Brain Research, 137:411-423, 2001.
J.W. Gibbs and E.B. Wilson.
Vector Analysis, A Text Book founded upon the lectures of J.W.Gibbs.
Yale University Press, New Haven, CT, 1952.
C.C.A.M. Gielen, B.M. van Bolhuis, and M. Theeuwen.
On the control of biologically and kinematically redundant manipulators.
Human Movement Science, 14:487-509, 1995.

This paper describes several techniques for dealing with kinematically redundant manipulators in biological cases, and also considers robotic manipulators, while noting that the constraints applied can be quite different for the two. They consider the equilibrium point hypothesis, generalized inverse methods, constraints to reduce the number of degrees of freedom, reduction of 3D rotational degrees of freedom (eg Donder's law), Neural network techniques and estimating the joint torque contribution of muscles. They note that each of these methods has inherent problems.

C.C.A.M. Gielen, E.J. Vrijenhoek, T. Flash, and S.F.W. Neggers.
Arm position constraints during pointing and reaching in 3-d space.
Journal of Neurophysiology, 78:660-673, 1997.
C.C.A.M. Gielen and B.M. van Bolhuis.
Task-dependent reduction of the number of degrees of freedom in sensimotor systems.
Brain Research Reviews, 28:136-142, 98.
J. Van Gisbergen, D. Robinson, and S. Gielen.
A quantitative analysis of generation of saccadic eye movements by burst neurons.
Journal of Neurophysiology, 45(3):417-442, 1981.
B. Glenn and T. Vilis.
Violations of listing's law after large eye and head gaze shifts.
Journal of Neurophysiology, 68(1):309-318, 1992.

This paper shows that the combined eye-head system does not follow Listing's law but does still follows Donder's law. The surface that it is constrained to is similar to a Fick gimbal (although a second-order surface gives a better fit). These results were not shown for earlier studies probably because they used a smaller gaze range. They speculate that the reason for a Fick gimbal is because the eye in head is anatomically like a gimbal. Such a system also prevents the accumulation of torsion.

M.A. Goodale, D. Pelisson, and C. Prablanc.
Large adjustments in visually guided reaching do not depend on vision of the hand or perception of target displacement.
Nature, 320:748-750, 1986.
H.H.L.M. Goossens and A.J. Van Opstal.
Local feedback signals are not distorted by prior eye movements: Evidence from visually evoked double saccades.
Journal of Neurophysiology, 78:533-538, 1997.
H. Grea, M. Desmurget, and C. Prablanc.
Postural invariance in three-dimensional reaching and grasping movements.
Experimental Brain Research, 134(2):155-162, 2000.

In previous experiments with grasping a cylinder, the findings of invariance of hand configuration were damaged because of the fact the grasping a cylinder largely coerces the arm to a particular configuration. In this experiment, they needed to grasp a small sphere at different locations, that sometimes jumped after movement began. The results suggested that the final arm posture is invariant for a given final object location even when they have to reorganize movements in response to a sudden change in location. ie a form of Donder's law holds.

P.L. Gribble and D.J. Ostry.
Compensation for loads during arm movements using equilibrium-point control.
Experimental Brain Research, 135:474-482, 2000.
P.L. Gribble, S. Everling, K. Ford, and A. Mattar.
Hand-eye coordination for rapid pointing movements.
Experimental Brain Research, 145:372-382, 2002.

Previous studies have shown that eye saccades and arm pointing movement are coupled, and that the saccade begins prior to arm movement. However, by examining the electromyographic (EMG) activity of the shoulder muscles, it was found that the arm movement is actually initiated earlier than the saccade - the delay is due to factors such as the relatively high inertia of the arm. The suggest based on their findings that the direction and distance of the arm movement is specified prior to the saccade onset - feedback from the eye movements may be used for corrections on a trial-to-trial basis.

P. Haggard.
Task coordination in human prehension.
Journal of Motor Behavior, 23(1):25-37, 1991.
P. Haggard and J. Richardson.
Spatial patterns in the control of human arm movement.
Journal of Experiment Psychology:Human Perception and Performance, 22(1):42-62, 1996.
A. Handzel.
The Geometry of Eye Rotations.
PhD thesis, Weizmann Institute, Department of Mathematics and Computer Science, 1998.

Eye rotations are analyzed in terms of a Lie algebra group, and conversions are made between different systems (between canonical (about some axis), Fick and Helmholtz). He explains the elegance in using a Lie group to represent rotations due to their non-commuting properties, and expresses Listing's and Donder's law in these terms.

L. Harris and M. Jenkin, editors.
Vision and Action.
Cambridge University Press, Cambridge, 1998.
C.M. Harris and D.M. Wolpert.
Signal-dependent noise determines motor planning.
Nature, 394:780-784, 1998.

It is proposed that trajectories are selected to minimize the variance of the final eye or arm position. This is based on the assumption of signal-dependent noise in the neural control signals. This theory fits well with experimental observations, predicting bell shaped velocity profiles, the speed-accuracy trade-off, as well as the two-thirds power law. They comment that this theory is more general than theories such as the minimum jerk or torque, and is more biologically plausible.

T. Haslwanter.
Mathematics of three-dimensional eye rotations.
Vision Research, 35(12):1727-1739, 1995.
W. Haustein.
Considerations on listing's law and the primary position by means of a matrix description of eye position control.
Biological Cybernetics, 60:411-420, 1989.
H. von Helmholtz.
Handbuch der Physiologischen Optik.
Voss., Hamburg, Germany, 1867.
\em{Treatise on Physiological Optics (English translation)}, vol. 3, 44-51, translated by J. P. C. Southall (1925), Opt. Soc. Am., Rochester, NY.
E.A. Henis and T. Flash.
Mechanisms underlying the generation of averaged modified trajectories.
Biological Cybernetics, 72:407-419, 1995.
E. Henis.
Strategies Underlying Arm Trajectory Modification During Reaching Towards Visual Targets.
PhD thesis, Weizmann Institute of Science, 1991.
V. Henn.
History of three-dimensional eye movement research.
In Fetter et al. kinematics97, pages 3-14.
K. Hepp.
On listing's law.
Communications in Mathematical Physics, 132:285-292, 1990.
B. Hoff.
A model of duration in normal and perturbed reaching movement.
Biological Cybernetics, 71:481-488, 1994.

An extension of the minimum jerk model is made to incorporate duration. The cost function now includes time and a constant that is a relative weighting factor between time and jerk. This constant would change depending on the desired speed and accuracy of the movement (ie the speed-accuracy trade off).

C. Von Hofsten.
Structuring of early reaching movements: A longitudinal study.
Journal of Motor Behavior, 23(4):280-293, 1991.
N. Hogan and T. Flash.
Moving gracefully: Quantitative theories of motor coordination.
Trends in Neuroscience, 10:170-174, 1987.

A review of the minimum jerk strategy and of considerations in modeling (such as joint vs hand motion) is presented.

J. Hollerbach.
Computers, brains and the control of movement.
Trends in Neurosciences, 5:189-192, 1982.
J. Hore, S. Watts, and D. Tweed.
Arm position constraints when throwing in three dimensions.
Journal of Neurophysiology, 72(3):1171-1180, 1994.
D. Jacobs, editor.
The State of the Art in Numerical Analysis.
Academic Press, London, 1977.
H. Johnson, R.J. van Beers, and P. Haggard.
Action and awareness in pointing tasks.
Experimental Brain Research, 146:451-459, 2002.

In a double step target task, subjects were told sometimes to correct to the new target (pointing), and sometimes to move in the opposite direction (anti-pointing). While in pointing tasks there was a rapid correction, and delayed awareness, in anti-pointing tasks sometimes the subjects began as in a pointing task, the correction times were longer, and there was not a dissociation between awareness and the action. From these findings they suggest the a different, slower system is used for anti-point compared to point movements.

R. Jürgens, W. Becker, and H.H. Kornhuber.
Natural and drug-induced variations of velocity and duration of human saccadic eye movements: Evidence for a control of the neural pulse generator by local feedback.
Biological Cybernetics, 39:87-96, 1981.

The predictions from a model that uses local feedback (ie an efference copy, not proprioception) compared to an ``open loop'' (no feedback) are compared in the situation where drugs are used to reduce saccade velocity. The results showed that despite the slowing in velocity, amplitude remains constant, weighing in favour of a closed loop theory

D.G. Kamper and W.Z. Rymer.
Effects of geometric joint constraints on the selection of final arm posture during reaching: a simulation study.
Experimental Brain Research, 126:134-138, 1999.

For a given final hand position and orientation, there is an arc of 360 degrees for where the elbow could be. However, after applying the physiological constraints, this is reduced to a sixth of this size. This suggests that the orientation and position are not planned independently, but rather together.

A. Karniel and G.F. Inbar.
A model for learning human reaching movements.
Biological Cybernetics, 77:173-183, 1997.
S. Katschmarsky, S. Cairney, P. Maruff, P.H. Wilson, and J. Currie.
The ability to execute saccades on the basis of efference copy: Impairments in double-step saccade performance in children with developmental co-ordination disorder.
Experimental Brain Research, 136:73-78, 2001.
M. Kawato.
Optimization and learning in neural networks for formation and control of coordinated movement.
In D.E. Meyer and S. Kornblum, editors, Attention and Performance XIV, pages 821-849. MIT Press, Cambridge, MA, 1992.
M. Kawato.
Internal models for motor control and trajectory planning.
Current Opinion In Neurobiology, 9:718-727, 1999.
M. Fetter, T. Haslwanter, H. Misslisch, and D. Tweed, editors.
Three Dimensional Kinematics of Eye, Head, and Limb Movements.
Harwood Academic Publishers, Amsterdam, 1997.
M. Klein Breteler, S. Gielen, and R. Meulenbroek.
End-point constraints in aiming movements: Effects of approach angle and speed.
Biological Cybernetics, 85:65-75, 2001.

The minimum-jerk and minimum torque-change models are compared in modified forms where the approach angle and speed is specified. They found that the minimum-torque change predicted trajectories were closer than those for the minimum-jerk model. They concluded that some optimization took place in intrinsic parameters but did not rule out that optimization also included variables in extrinsic space.

M.D. Klein Breteler, G.J. Meulenbroek, and C.C.A.M Gielen.
An evaluation of the minimum-jerk and minimum torque-change principles at the path, trajectory, and movement-cost levels.
Motor Control, 6:69-83, 2002.

A comparison is made between the minimum-jerk and minimum torque-change model both in terms of path, as a function of time and in terms of cost (ie total jerk or torque-change). The movements considered were nearly horizontal planar movements with the arm supported to prevent gravitational forces and the targets and feedback of the current movement were displayed on a screen. In terms of the path, the minimum-torque change model was a good model whereas the minimum jerk was not. However, when the timing was considered, the observed trajectories were more similar to the predictions of the minimum jerk model. It was also found that in terms of movement cost (ie total jerk), for slower movements the time of peak velocity is less critical than for faster movements and so asymmetrical velocity profiles are less of an issue when the movement is slow.

M.D. Klein Breteler, J.M. Hondzinki, and M. Flanders.
Drawing sequences of segments in 3D:Kinetic influences on arm configuration.
Journal of Neurophysiology, 89(6):3253-3263, 2003.

Coarticulation is considered in three dimensional arm movements. It was not seen in two-segment movements, but was observed in the angle of the elbow when drawing triangles. It was claimed that this coarticulation improves the efficiency of the second movement. Donders' law was not observed, rather an accumulation of changes in arm posture was seen.

M. Klein Breteler, G. Meulenbroek, and C.C.A.M Gielen.
Geometric features of workspace and joint-space paths of 3d reaching movements.
Acta Psychologica, 100:37-53, 1998.

An experiment involving movement from a horizontal table to a vertical screen were analyzed to try and determine whether they are planning in workspace or in joint space. They concluded that a trade-off is made between optimizing the two, and that the movements tends to be within a plane in both workspace and joint space

E. Klier, H. Wang, and J. Crawford.
The superior colliculus encodes gaze commands in retinal coordinates.
Nature Neuroscience, 4(6):627-632, 2001.

The Superior Colliculus (SC) provides an input for a desired saccade movement. It has been debated whether this is gaze displacement (independent of current orientation) or gaze direction. It was concluded from an experiment with microstimulation of the SC that these are actually encoded as displacements, but in a retinal frame. Downstream structures must then transform this into gaze displacement commands.

E. Klier and J.D. Crawford.
Human oculomotor system accounts for 3-d eye orientation in the visual-motor transformation for saccades.
Journal of Neurophysiology, 80:2274-2294, 1998.
J. Konczak and J. Dichgans.
The development of hand trajectory formation and joint kinematics during reaching in infancy.
In Fetter et al. kinematics97.
H. Krebs, M. Aisen, B. Volpe, and N. Hogan.
Quantization of continuous arm movements in humans with brain injury.
Proceedings of the National Academy of Sciences of the United States of America, 96(8):4645-4649, 1999.

Patients recovering from a stroke showed movements that were clearly segmented, but became more `smooth' as they recovered. It is suggested that these movements are the primitive units used during unloaded movements, and these movement primitives each have a bell-shaped speed profile.

E. Kreyszig.
Advanced Engineering Mathematics, 7th edition.
John Wiley & Sons, New York, 1993.
T. Kuhlen, K.F. Kraiss, and R. Steffan.
How vr-based reach-to-grasp experiments can help to understand movement organization within the human brain.
Presence, 9(4), 2000.
T. Kuhlen, R. Steffan, C. Dohle, H. Hefter, K.F. Kraiss, and H.J. Freund.
Virtual environments for the study of reach to grasp movements.
In 3-D Synopsium of Human Movement, Grenoble, 1996.
T. Kuhlen, R. Steffan, M. Schmitt, and C. Dohle.
Creating VR-based setups for the study of human motor behaviour.
In Göbel and Landauer J, editors, Virtual Environments '98. Springer-Verlag, Wien, 1998.
D. Lee, N. Port, and A. Georgopoulos.
Manual interception of moving targets II. On-line control of overlapping sub-movements.
Experimental Brain Research, 116:421-433, 1997.
R.F. Lewis, B.M. Gaymard, and R.J. Tamargo.
Efference copy provides the eye position information required for visually guided reaching.
Journal of Neurophysiology, 80:1605-1608, 1998.
J. Lloyd and V. Hayward.
Trajectory generation for sensor-driven time-varying tasks.
The International Journal of Robotics Research, 12(4):380-393, 1993.
K. Luttgens and N. Hamilton.
Kinesiology: Scientific Basis of Human Motion, 9th Ed..
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D. Marr.
Vision.
W.H. Freeman and Company, San Fransisco, 1982.

Marr proposed that the visual system uses a 2 1/2-D sketch, where there is an accurate representation of the horizontal and vertical position (from a viewer centred perspective) of objects, and of surface orienation, but only a rough representation of the depth.

J. Friedman.
The planning of three dimensional fully extended arm pointing movements.
Master's thesis, Weizmann Institute of Science, Israel, 2002.
J. McIntyre, F. Statta, and F. Lacquaniti.
Short-term memory for reaching to visual targets: Psychophysical evidence for body-centered referenced frames.
The Journal of Neuroscience, 18(20):8423-8435, 1998.
M.J. McKeown.
Cortical activation related to arm-movement combinations.
Muscle & Nerve, 23(S9):S19-S25, 2000.
W.P. Medendorp.
Control of eye, head and arm movements for action and perception.
PhD thesis, University of Nijmegen, 2001.
L.E. Miller, M. Theeuwen, and C.C.A.M. Gielen.
The control of arm pointing movements in three dimensions.
Experimental Brain Research, 90:415-426, 1992.
A.W.H. Minken.
Three-dimensional control of binocular eye movements in far and near vision.
PhD thesis, University of Nijmegen, 1995.
A.W.H. Minken, A.J. Van Opstal, and J.A.M. Van Gisbergen.
Three-dimensional analysis of strongly curved saccades elicited by double-step stimuli.
Experimental Brain Research, 93:521-533, 1993.

Experiments were performed on single and double-step eye saccades. It was found that Listing's law is implemented in all these cases by tilting of the angular velocity axis. However, in 3D analysis, it was found that in double-step saccades with mid-flight change in trajectory, a linear superposition of angular velocities can not be used because a tilt in the angular velocity vector is necessary to maintain Listing's law. So the superposition would have to be done before the angular velocity is computed. They suggest perhaps a superposition of velocity commands at the 2D level or some sort of local feedback control

H. Misslisch, D. Tweed, and T. Vilis.
Neural constraints on eye motion in human eye-head saccades.
Journal of Neurophysiology, 79(2):859-869, 1998.

It is found that Listing's law is held much better for eye in head, than eye in space. This was tested by comparing head fixed and head free saccades. They also had a task involving eye fixed in head gazes, which were impossible, except to a small degree. By will, the effective oculomotor range (EOMR) can be reduced, it can be further reduced by restricting vision (slit glasses or pinhole glasses), although the EOMR does not become as small as the visible range. These effects can be explained by a model for eye-head movements.

L. van Hemmen, E. Domany, and J. Cowan, editors.
Models of Neural Networks IV.
Springer Verlag, New York, 2001.
P. Morasso.
Spatial control of arm movements.
Experimental Brain Research, 42:223-227, 1981.

The tangential hand velocity for different point to point movements in the horizontal plane has a single peaked curved that is invariant under different movement times. This may lead to the hypothesis of control in ``spatial'' coordinates, rather than joint coordinates.

R.M. Murray, Z. Li, and S.S. Sastry.
A Mathematical Introduction to Robotic Manipulation.
CRC Press, Boca Raton, FL, 1994.
F. Mussa-Ivaldi and S. Giszter.
Vector field approximation: a computational paradigm for motor control and learning.
Biological Cybernetics, 67:491-500, 1992.

Previous experiments with spinalized frogs showed that micro-stimulation of the premotor areas in the grey matter of the spinal cord resulted in convergent field of forces being applied, due to a balanced recruitment of agonist and antagonist muscles. Different regions produced different force fields, and if two stimulations were applied simultaneously, then the field added vectorially. These force fields may hence be combined to create a repertoire of motor actions.

E. Nakano, H. Imamizu, R. Osu, Y. Uno, H. Gomi, T. Yoshioka, and M. Kawato.
Quantitative examinations of internal representations for arm trajectory planning: Minimum commanded torque change model.
Journal of Neurophysiology, 81(5):2140-2155, 1999.

A comparison is made between the minimum jerk, minimum angle-jerk, minimum torque-change, and the minimum commanded torque change models. They found that the best predictions were provided by the minimum commanded torque change model, which is similar (but computable) to the minimum motor command model.

W.P. Medendorp, J.D. Crawford, D.Y.P. Henriques, J.A.M. Van Gisbergen, and C.C.A.M. Gielen.
Kinematic strategies for upper arm - forearm coordination in three dimensions.
Journal of Neurophysiology, 84(5):2302-2316, 2000.
K. Nishikawa, S.T. Murray, and M. Flanders.
Do arm postures vary with the speed of reaching?.
Journal of Neurophysiology, 81:2582-2586, 1999.

Arm movements performed at different speeds are compared in order to determine what sort of model is used for arm movements. If a dynamic model is used, then the trajectory would be expected to change with different speeds. However, the trajectories seen in this paper were speed-invariant, implying that a kinematic scheme is used, for example, planning using velocity constraints.

W.H. Press, S.A. Taukolsky, W.T. Vetterling, and B.P. Flannery.
Numerical Recipes in C, Second edition.
Cambridge University Press, Cambridge, 1992.
T. Okadome and M. Honda.
Kinematic construction of the trajectory of sequential arm movements.
Biological Cybernetics, 80(3):157-169, 1999.
D. Ostry, E. Vatikiotis-Bateson, and P. Gribble.
An examination of the degrees of freedom of human jaw motion in speech and mastication.
Journal of Speech, Language, and Hearing Research, 40:1341-1351, 1997.
Y. Paulignan, V.G. Frak, Y. Yoni, and M. Jeannerod.
Influence of object position and size on human prehension movements.
Experimental Brain Research, 114(2):226-234, 1997.
J. Friedman.
Features of Human Grasping.
PhD thesis, Weizmann Institute of Science, Israel, 2007.
C. Prablanc and O. Martin.
Automatic control during hand reaching at undetected two-dimensional target displacements.
Journal of Neurophysiology, 67(2):455-469, 1992.
J.O. Ramsay, K.G. Munhall, V.L. Gracco, and D.J. Ostry.
Functional data analyses of lip motion.
Journal of the Acoustic Society of America, 99(6):3718-3727, 1996.
A.K. Rao and A.M. Gordon.
Contribution of tactile information to accuracy in pointing movements.
Experimental Brain Research, 138:438-445, 2001.
T. Raphan.
Modeling control of eye orientation in three dimensions. i. role of muscle pulleys in determining saccadic trajectory.
Journal of Neurophysiology, 79(5):2653-2667, 1998.
T. Raphan.
Modelling control of eye orientation in three dimensions.
In Fetter et al. kinematics97.
A.J. Van Opstal.
Representation of eye position in three dimensions.
In A. Berthoz, editor, Multisensory Control of Movement, pages 27-41. Oxford University Press, 1993.
J. Rice and B. Silverman.
Estimating the mean and covariance structure non-parametrically when the data are curves.
Journal of the Royal Statistical Society, Series B (Methodological), 53(1):233-243, 1991.

This paper explains how to calculate the mean of a curve and estimate the variance. This is for use in cases where you don't know the equation of the curve. They suggest calculating the mean using penalized least squares (so it will be smooth), and to analyze the variance by looking at the eigenvalues.

M.J.E Richardson and T. Flash.
Comparing smooth arm movements with the two-thirds power law and the related segmented-control hypothesis.
Journal of Neuroscience, 22(18):8201-8211, 2002.

The generalized form of the minimum jerk law is examined (MSD - mean squared derivative cost functions), where the derivative of the coordinates may be of order n up to infinity, and its relation to the two-thirds power law. In the case of reaching movements, only minimum jerk or snap reasonably match experimental data. However, for ellipses, the law holds for the entire class of MSD cost functions. In more complex shapes, the plot of curvature against velocities looks like segmented control although this was not specified in the cost function. This case doubts on the use of this feature as an argument for segmented control.

D. Robinson.
The mechanics of human saccadic eye movement.
Journal of Physiology, 174:245-264, 1964.
A. Roby-Brami, N. Bennis, M. Mokhtari, and P. Baraduc.
Hand orientation for grasping depends on the direction of the reaching movement.
Brain Research, 869:121-129, 2000.
V. Rogozin, Y. Edan, and T. Flash.
A real-time trajectory modification algorithm.
Robotica, 19(4):395-405, 2001.
D. Rosenbaum, L. Loukopoulos, R. Meulenbroek, J. Vaughan, and S. Engelbrecht.
Planning reaches by evaluating stored postures.
Psychological Review, 102(1):28-67, 1995.

This is an approach for trajectory planning based on the notion of stored postures. Once a final location to move to has been decided, a number of postures are examined, and assigned weights depending on how close they are to the desired location and the travel costs. These postures are then `summed' vectorially, to give the target posture. The trajectory between the starting and target posture are generated by allowing each degree of freedom to move continuously from its initial to the final posture. Hence these trajectories are dependent on the starting location hence contradict the existence of a form of Donder's law, or Listing's law.

P.N. Sabes.
The planning and control of reaching movements.
Current Opinion in Neurobiology, 10:740-746, 2000.

This review looks at the use of internal models in planning and controlling reaching movements. He suggests that a mix of feed-forward (the movement planning before execution) and feedback (using a combination of proprioception and visual feedback) is used to control the arm.

J.P. Scholz, G. Schöner, and M. Latash.
Identifying the control structure of multijoint coordination during pistol shooting.
Experimental Brain Research, 135:382-404, 2000.

In multijoint tasks, there are generally many possible joint combinations. It is shown that rather than always adopting a particular joint combination during such a task, it is possible to define a set of relevant task variables. These can be combined to form a UCM ("uncontrolled manifold"). The different joint configurations were decomposed into those parallel to the set (essential parameters) of task variables, and those perpendicular (unessential). For the example, with pistol shooting, the orientation of the guns barrel relative to a vector from the gun to the target was a task variable whose UCM showed a significant difference between the joint configurations.

R. Sharma.
Locally efficient path planning in an uncertain, dynamic environment using a probabilistic model.
IEEE Transactions on Robotics and Automation, 8(1):105-110, 1992.
A.C. Smit and J.A.M. Van Gisbergen.
An analysis of curvature in fast and slow human saccades.
Experimental Brain Research, 81:335-345, 1990.
L.H. Snyder.
Coordinate transformations for eye and arm movements in the brain.
Current Opinion in Neurobiology, 10:747-754, 2000.

Coding of coordinates could be done in eye-centered or hand-centered coordinates. For example, following a target with no arm movement would be in eye-centered, while moving the arm without vision would be in arm-centered. This review finds that it seems that both representations are used, perhaps at the same time, for different uses, and examines where in the brain the coordinate transformation takes place

I. Söderkvist and P. Wedin.
Determining the movements of the skeleton using well-configured markers.
Journal of Biomechanics, 26(12):1473-1477, 1993.

A method is presented for determining the translation and rotation of a frame by means of a number of landmarks (markers). The method uses singular value decomposition.

J.F. Soechting and F. Lacquaniti.
Invariant characteristics of a pointing movement in man.
The Journal of Neuroscience, 1(7):710-720, 1981.
J.F. Soechting and F. Lacquaniti.
Modification of trajectory of a pointing movement in response to a change in target location.
Journal of Neurophysiology, 49(2):548-564, 1983.
J.F. Soechting and M. Flanders.
Parallel, interdependent channels for location and orientation in sensorimotor transformations for reaching and grasping.
Journal of Neurophysiology, 70(3):1137-1150, 1993.
J. Soechting and M. Flanders.
Movement planning: kinematics, dynamics, both or neither?.
In Harris and Jenkin harris98.
T.R. Stanford and D.L. Sparks.
Systematic errors for saccades to remembered targets: Evidence for a dissociation between saccade metrics and activity in the superior colliculus.
Vision Research, 34(1):93-106, 1994.
D. Straumann, T. Haslwanter, M. Hepp-Reymond, and K. Hepp.
Listing's law for eye, head and arm movements and their synergistic control.
Experimental Brain Research, 86:209-215, 1991.
V. Stuphorn, E. Bauswein, and K.P. Hoffman.
Neurons in the primate superior colliculus coding for arm movements in gaze-related coordinates.
Journal of Neurophysiology, 83:1283-1299, 2000.
M. Suzuki, Y. Yamazaki, N. Mizunos, and K. Matsunami.
Trajectory formation of the centre-of-mass of the arm during reaching movements.
Neuroscience, 76(2):597-610, 1997.
M. Theeuwen, L.E. Miller, and C.C.A.M. Gielen.
Are the orientations of the head and arm related during pointing movements?.
Journal of Motor Behavior, 25(3):242-250, 1993.
D. Tweed.
Visual-motor optimization in binocular control.
Vision Research, 37:1939-1951, 1997.
V. Tutis and T. Douglas.
The mathematics of rotations.
Web course, 1998.
D. Tweed and T. Vilis.
Implications of rotational kinematics for the oculomotor system in three dimensions.
Journal of Neurophysiology, 58(4):832-849, 1987.
D. Tweed and T. Vilis.
Rotation axes of saccades.
Annals of the New York Academy of Sciences, 545:128-38, 1988.

Presents the quaternion model which requires eye movements to be planned in three dimensions and shows experimental data supporting this model.

D. Tweed and T. Vilis.
The superior colliculus and spatiotemporal translation in the saccadic system.
Neural Networks, 3:75-86, 1990.

A model of a 3D saccade generator is presented. It receives as input from the Superior Colliculus (SC) a required displacement signal (the error). The current 3D angular velocity required is generated from this error, and the velocity is integrated with a resettable integrator to update the error. Note that the error here is fed back, not the current position. The angular velocity at the end passes through a neural integrator to give the current orientation. This model accurately predicts that faster (rather than larger) saccades are produced with stronger SC stimulation (the magnitude of the error is set spatially). In this model, the Listing's law operator is applied before the required displacement is calculated, i.e. it is an orientation constraint.

D. Tweed, W. Cadera, and T. Vilis.
Computing three-dimensional eye position quaternions and eye velocity from search coil signals.
Vision Research, 30(1):97-110, 1990.
D. Tweed, H. Misslisch, and M. Fetter.
Testing models of the oculomotor velocity-to-position transformation.
Journal of Neurophysiology, 72(3):1425-1429, 1994.

A comparison is made of two Oculomotor Velocity-to-Position transforms, one which is a quaternion, non-commutative model, another is a commutative approximation. It was found that the non-commutative model is a poor approximation, and much better results are found using the quaternion model.

D. Tweed.
Three-dimensional models of the human eye-head saccadic system.
Journal of Neurophysiology, 77:654-666, 1997.
D. Tweed.
Kinematic principles of three-dimensional gaze control.
In Fetter et al. kinematics97.

The different representations of rotations are considered, and their advantages and relation to each other.

D. Tweed, T. Haslwanter, V. Happe, and M. Fetter.
Non-commutativity in the brain.
Nature, 399:261-263, 1999.

By a simple test, it is shown that a non-commutative model is required to explain the VOR reflex - a commutative model will predict the same path for two rotation regardless of the order. This is not found experimentally, hence a non-commutative model is required.

D. Tweed and T. Vilis.
Geometric relations of eye position and velocity vectors during saccades.
Vision Research, 30(1):111-127, 1990.
Y. Uno, M. Kawato, and R. Suzuki.
Formation and control of optimal trajectory in human multijoint arm movement. minimum torque-change model..
Biological Cybernetics, 61(2):89-101, 1989.
A.J. van Opstal, K. Hepp, B.J.M. Hess, D. Straumann, and V. Henn.
Two- rather than three-dimensional representation of saccades in monkey superior colliculus.
Science, 252:1313-1315, 1991.
A.J. Van Opstal.
The gaze control system.
In van Hemmen et al. modelsneuraliv.
J.F. van Sonderen, J.J.D. van der Gron, and C.C.A.M. Gielen.
Conditions determining early modification of motor programs in response to changes in target location.
Experimental Brain Research, 71:320-328, 1988.
P. Vetter, T. Flash, and D. Wolpert.
Planning movements in a simple redundant task.
Current Biology, 12:488-491, 2002.
T. Vilis.
Physiology of three-dimensional eye movements : Saccades and vergence.
In Fetter et al. kinematics97.
P. Vindras, M. Desmurget, C. Prablanc, and P. Viviani.
Pointing errors reflect biases in the perception of the initial hand position.
Journal of Neurophysiology, 79:3290-3294, 1998.

From a pointing experiment with no visual feedback performed in two conditions (where the hand was visible before the task, and when in was not), it was found that the error in locating the target depended on the starting location and was consistenly biased. The errors where much less when the hand could be viewed before the movement. They suggest that their results support the theory that movements are planned vectorially rather than in absolute positions in space.

P. Vindras and P. Viviani.
Frames of reference and control parameters in visuomanual pointing.
Journal of Experimental Psychology: Human Perception and Performance, 24(2):569-591, 1998.

An experiment was performed where subjects pointed, in darkness, in a plane to a target briefly lit by a laser from different starting positions. The errors in locating the final point were dependent on the starting point, and the major axis of the ellipse of the variables errors was aligned with the movement direction, suggesting a coordinate system based on the hand, and that direction and amplitude are planned independently. The errors became progressively worse during the experiment, which they suggest is due to incorrect assumptions made by the subject about the end point location due to a lack of visual feedback. They suggest their findings are incompatible with theories that say the final joint angles are input to the motor program, or on selecting postures.

X. Wang.
Three-dimensional kinematic analysis of influence of hand orientation and joint limits on the control of arm postures and movements.
Biol. Cybernetics, 80:449-463, 1999.

Here is it suggested that there is a segmentation in the planning of the orientation and position of the arm in trajectory planning. This was found from experiments where for different orientations, the variation in hand position was small compared to the possible range. He also looked at the accuracy of planning in the different phases of the movement

D. M. Wolpert, Z. Ghahramani, and M. I. Jordan.
Are arm trajectories planned in kinematic or dynamic coordinates? An adaptation study..
Experimental Brain Research, 103(3):460-470, 1995.

Author list

Click on year to see the reference

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Massey = 81
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Osu = 99
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Pelisson = 86
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Press = --
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Rice = 91
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Robinson = 81 64
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Sastry = 94
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Schmitt = 98
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Sharma = 92
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Vaughan = 95
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Yu = --