laws: Simple upper-limb cyclical

Can discrete, single-shot movements and continuous, cyclical movements be reduced to a single concept? In the classical, computational approach to human motor behaviour, cyclical aimed movement has general19 been considered to derive from discrete primitives through a concatenation mechanism. Much importance, accordingly, has been attached to discrete-movement paradigms and to techniques allowing the segmentation of continuous data. An alternative approach, suggested by the nonlinear dynamical systems theory, views discreteness as a limiting case of cyclicity. Although attempts have been made recently to account for discrete movements in dynamical terms, cyclical paradigms have been favoured. The concatenation interpretation of cyclical aimed movement is criticized on the ground that it implies a complete waste of mechanical energy once in every half-cycle. Some kinematic data from a one-dimensional reciprocal (i.e., cyclical) aiming experiment are reported, suggesting that human subjects do save muscular efforts from one movement to the next in upper-limb cyclical aiming. The experiment demonstrated convergence on simple harmonic motion as aiming tolerance was increased, an outcome interpreted with reference to Hooke’s law, in terms of the muscles’ capability of storing potential, elastic energy across movement reversals. Not only is the concatenation concept problematic for understanding cyclical aimed movements, but the very reality of discrete movements is questionable too. It is pointed out that discrete motor acts of real life are composed of complete cycles, rather than half-cycles.

[1]  Michael T. Turvey,et al.  Inadequacies of the Computer Metaphor , 1984 .

[2]  J. Kelso Pattern Formation in Speech and Limb Movements Involving Many Degrees of Freedom , 1986 .

[3]  D. Meyer,et al.  Models for the speed and accuracy of aimed movements. , 1982, Psychological review.

[4]  Noam Chomsky Reflections on Language. , 1977 .

[5]  S. Runeson,et al.  Kinematic specification of dynamics as an informational basis for person and action perception: Expe , 1983 .

[6]  Lambert Schomaker,et al.  Between-letter context effects in handwriting trajectories , 1986 .

[7]  A. P. French,et al.  Vibrations and Waves , 1971 .

[8]  D. Jordan,et al.  Nonlinear Ordinary Differential Equations: An Introduction for Scientists and Engineers , 1979 .

[9]  Hans-Leo Teulings,et al.  The Elementary Units of Programming in Handwriting , 1986 .

[10]  Martin R. Sheridan,et al.  Initiation and Execution of Movement: A Unified Approach , 1991 .

[11]  A J Thomassen,et al.  Exploitation of elasticity as a biomechanical property in the production of graphic stroke sequences. , 1993, Acta psychologica.

[12]  Elliot Saltzman,et al.  Skilled actions: a task-dynamic approach. , 1987, Psychological review.

[13]  R. Abraham,et al.  Dynamics--the geometry of behavior , 1983 .

[14]  P. Fitts The information capacity of the human motor system in controlling the amplitude of movement. , 1954, Journal of experimental psychology.

[15]  J. Kelso,et al.  A qualitative dynamic analysis of reiterant speech production: phase portraits, kinematics, and dynamic modeling. , 1985, The Journal of the Acoustical Society of America.

[16]  A. Wing,et al.  Relation between velocity and curvature in movement: equivalence and divergence between a power law and a minimum-jerk model. , 1988, Journal of experimental psychology. Human perception and performance.

[17]  R. Plamondon On the Origin of Asymmetric Bell-Shaped Velocity Profiles in Rapid-Aimed Movements , 1991 .

[18]  How motile bacteria are attracted and repelled by chemicals: an approach to neurobiology. Lecture held on the occasion of the receipt of the Otto-Warburg-Medaille 1986. , 1987, Biological chemistry Hoppe-Seyler.

[19]  Gerrit Jan VAN INGEN SCHENAU,et al.  From rotation to translation: Constraints on multi-joint movements and the unique action of bi-articular muscles , 1989 .

[20]  P. Fitts The information capacity of the human motor system in controlling the amplitude of movement. 1954. , 1992, Journal of experimental psychology. General.

[21]  H. Zelaznik,et al.  Motor-output variability: a theory for the accuracy of rapid motor acts. , 1979, Psychological review.

[22]  A. G. Feldman Once More on the Equilibrium-Point Hypothesis (λ Model) for Motor Control , 1986 .

[23]  P. Morasso,et al.  Trajectory formation and handwriting: A computational model , 1982, Biological Cybernetics.

[24]  J. Gibson The Senses Considered As Perceptual Systems , 1967 .

[25]  Steven W. Keele,et al.  Movement control in skilled motor performance. , 1968 .

[26]  G A Cavagna,et al.  STORAGE AND UTILIZATION OF ELASTIC ENERGY IN SKELETAL MUSCLE , 1977, Exercise and sport sciences reviews.

[27]  P. Viviani,et al.  Trajectory determines movement dynamics , 1982, Neuroscience.

[28]  Réjean Plamondon,et al.  On the automatic extraction of biomechanical information from handwriting signals , 1991, IEEE Trans. Syst. Man Cybern..

[29]  J. Gibson The Ecological Approach to Visual Perception , 1979 .

[30]  P. Morasso Understanding Cursive Script as a Trajectory Formation Paradigm , 1986 .