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Chapter 2. Prehension

Chapter 2. Prehension

Chapter 2. Prehension

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Instructed grasp, 173<br />

Intensity, of wrench, 239<br />

Intent, and phases of prehension, 60-61<br />

Interdigital latero-lateral grasp, 29<br />

Interdigital step gras 19t, 28,272t. 371t<br />

Intermediate grasp, Eb<br />

Intermediate ridges, 209<br />

Internal forces, 239, 265,268t, 273.274<br />

Internal precision grasp, 2Ot, 28f, 30,36,<br />

371t, 376,380<br />

Interoceptors, 11 1<br />

Interphalangeal joints, mechanoreceptors,<br />

226,227f<br />

Intrinsic object prT.rties<br />

and activation o wsuomotor channels, 53<br />

and activation of wrist and fingers, 143<br />

defhtion, 51.53.76<br />

and grasping. 330,33 1<br />

speed of perception, 77-79<br />

Inverse kinematic problem, 117n<br />

Isotrc~y, 332<br />

J<br />

Jacobian matrix, 240,241<br />

Jerk<br />

definition, 1 1511<br />

'minimum jerk model', 115<br />

Jiggling, and weight perception, 230<br />

Jomts<br />

of hand, 352f. 353f<br />

receptors, 226,228<br />

torques<br />

and fingertip force, 240-42<br />

generating, 138-41<br />

trajectories (of fingers), 131-34<br />

r limb, 351-59,352f, 353f.<br />

Of "T 54-58t, 360-64t<br />

K<br />

Keratinocyte differentiation, definition, 207<br />

Key pinch, 2Ot, 262,263t. 37Ot<br />

Kinematic profiles. Kinematics<br />

Of arm and hand, in grasping, 141-46<br />

artifical and natural hand, 15Of<br />

computing<br />

hand trajectory and muscle<br />

activation, 136f<br />

inverse kinematics of sequence of<br />

actions, 132f<br />

enclosing, as guarded motion, 191-94,<br />

193f<br />

and grasp mntml by CNS. 174-78<br />

and grasp types, 166-74,168f, 17Of, 172f<br />

joint level trajectories, 131-34<br />

joint torques, 138-41<br />

movement time, in grasping and pointing,<br />

149f<br />

muscle level commands, 135-38<br />

with pad opposition<br />

Subject Index 471<br />

using central vision, 182f<br />

using normal vision, 180f, 1 82f<br />

using peripheral vision, 18Of<br />

palm-focused model of gras ing. 194-%<br />

and perturbation studies, 15&6.158f,<br />

1m. 164f<br />

under restricted sensory conditions,<br />

17847.1 SOf, 182f<br />

for setting up opposition space, 187-91,<br />

286f<br />

task requirements and object properties,<br />

16-56<br />

velocity<br />

20 unit distance movement (VlTE<br />

model), 13Of<br />

deceleration phase, 147f<br />

symmetric vs asymmetric, 123-31<br />

wrist<br />

and aperture-. 143f<br />

tangential, 124f<br />

Kinematics. gee also Acceleration of<br />

movement; A rture; Asymmetric<br />

velocity prozs; Deceleration of<br />

movement; Jerk; Kinematic profiles;<br />

Symmetric velocity profiles; Velocity<br />

deffition, 1on<br />

invariances, 145<br />

landmarks, definition, 144<br />

and object properties, 155<br />

and object weight, 154,155<br />

Of pad opp~~itiOn, 171-72<br />

of palm Opposition, 171-72<br />

of perturbation studies, 157-66<br />

problems, 117x1<br />

Kinetics. 1011. jee als~ Force application;<br />

Torques<br />

L<br />

Lag time<br />

and object properties in perturbation<br />

studies, 165, 166<br />

between signal and movement, 70.71<br />

LAMA programming language, 66,67<br />

Langer's lines, of skin, 206<br />

Lateral horn of cord, and sweating, 218<br />

Lateral motion, and perception of texture,<br />

23 1,232f. 233t<br />

Lateral pinch gras , l8f, 19t. 2Ot, 21,<br />

28-29,35,33!, 37Ot. 371~ 372,<br />

372f. 374,375,376<br />

Lateral rotation (movement), 358<br />

Leaky integrator model, of neural networks,<br />

384-85.400<br />

Leaming phase, of a neural network, 95,96f.<br />

see also Supervised leaming<br />

Length, of object, perception of, 229<br />

Lid, screwing, as grasped object, 27<br />

Lifting<br />

and force application, 234.235% 254f<br />

(Letters after page numbers: f=figure; n=fmtnote, t-table.)

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