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Cursus Doelgericht Handelen (BPSN33)

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On the relation between object shape and grasping kinematics. J ... Haptic = by touch Proprioceptor = sensory receptor in muscles, tendons or joints ... – PowerPoint PPT presentation

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Title: Cursus Doelgericht Handelen (BPSN33)


1
Cursus Doelgericht Handelen(BPSN33)
R.H. Cuijpers, J.B.J. Smeets and E. Brenner
(2004). On the relation between object shape and
grasping kinematics. J Neurophysiol, 91
2598-2606. R.H. Cuijpers, E. Brenner and J.B.J.
Smeets (2006). Grasping reveals visual
misjudgements of shape. Exp Brain Res 17532-44
2
Topics
  • 1st hour Control Variables in Grasping
  • Opposing views on visuomotor control
  • Research question
  • 2nd hour Grasping elliptical cylinders
  • Real cylinders
  • Which positions?
  • How to get there?
  • Virtual cylinders
  • Constant haptic feedback
  • Veridical haptic feedback
  • If time permits Modeling grip planning
  • Conclusions

3
Control variables in grasping
  • Many levels of description
  • Activity motor neurons
  • Muscle activity (EMG)
  • Posture (Joint angles)
  • Kinetics (Forces, torques)
  • Kinematics (Position, speed etc.)
  • Task level

high
Degrees of Freedom (DoF)
low
4
Control variables in grasping
  • How does the brain plan/compute the desired
    motor neuron output?
  • If movements are planned in task space
  • little computational power needed for planning
    stage
  • But
  • Need to solve DoF-problem (Motor primitives)
  • Cannot control everything (Stereotypic movements)
  • Need low-level on-line control (e.g. stiffness
    control)

5
Control variables in grasping
  • What is/are the correct level(s) of description
    for movement planning and visuomotor control?
  • Method of research in visuomotor control
  • Manipulate visual information / haptic feedback /
    proprioceptive feedback
  • Measure effect on motor output
  • Variables that have an effect are controlled
  • Variables that have no effect are redundant

Haptic by touch Proprioceptor sensory
receptor in muscles, tendons or joints
6
Opposing views on visuomotor control
  • Fingertip positions and object size
  • Milner Goodale perception vs. action
  • Franz et al common source model
  • Smeets Brenner position vs. size
  • Fingertip positions and object orientation
  • Glover Dixon planning vs. on-line control
  • Smeets Brenner position vs. orientation

7
perception vs. action
  • Goodale (1993) Milner, Goodale (1993)
  • RV lesions in occipito-parietal cortex (dorsal).
  • DF damage in ventrolateral occipital areas due
    to CO poisoning.

8
perception vs. action
  • Dorsal pathway for guiding movements (should be
    veridical)
  • Ventral pathway for perception (perception of
    shape, colour etc.)

9
perception vs. action
  • Agliotti, De Souza, Goodale (1995)
  • Grip aperture NOT influenced by size-illusion.
  • Due to separate processing of information for
    perception and action.

10
Common source model
  • Franz et al (2000) equal effects of illusion

11
Position vs. size
  • Brenner, Smeets (1996)
  • Size-illusion does not affect grip aperture, but
    does affect the initial lifting force.
  • Explanation not size information is used but
    position information. They are inconsistent.

12
Planning vs. on-line control
  • Glover Dixon (2001)
  • Relative effect of illusion decreases with time
  • ? Illusion mainly affects planning

13
Position vs. orientation
  • Smeets et al. (2002)
  • Assumption illusion affects orientation, not
    position
  • Also explains data of Glover and Dixon

14
Research Question How is shape information used
for grasping?
  • The visually perceived shape is deformed
  • Shape (ventral) determines where it is best to
    grasp an object (dorsal)
  • Grip locations not veridical
  • Shape information could be used during planning
    (ventral) or on-line control (dorsal)
  • Grip errors arise early or late in the movement

15
Grasping elliptical cylindersreal cylinders
16
Experimental design
  • seven 10cm tall cylinders
  • elliptical circumference with fixed 5cm axis
  • variable axis 2, 3, 4, 5, 6, 7 and 8 cm

17
Experimental Design
18
Experimental design
  • Optotrak recorded traces of fingertips
  • 2 distances x 7 shapes x 6 orientations 84
    trials
  • 3 repetitions
  • 10 subjects

19
Experimental Design
20
Example
21
Which positions?
  • Geometry grasping is stable at principle axes

22
Which positions?
  • Principle axes preferred. But systematic errors

23
Which positions?
  • Systematic "errors" depending on orientation.

24
Which positions?
  • Scaling grip orientation ? 0.7 except for aspect
    ratios close to 1, ? 0.5

Scaling grip orientation slope 1
25
Comfortable grip
Suppose grip orientation mixture between
cylinder orientation comfortable grip
  • Prediction
  • Slope a w-1
  • Offset b -(w-1)f0

26
Thus
  • Subjects grasp principle axes, but make
    systematic errors
  • Cannot be explained by comfort of posture
  • Additional effect of deformation of perceived
    shape

27
How to get there?
28
How to get there?
29
How to get there?
  • Gradual increase grip errors were planned that
    way
  • High correlation despite errors!
  • Sudden drop at end Grip aperture automatically
    corrected
  • Correlation much higher for max. grip aperture
    than final grip aperture

30
Thus
  • Systematic errors already present in the planning
    of the movement
  • Maximum Grip Aperture reflects planned size
    rather than true size

31
Grasping virtual cylinders
32
Experimental design
33
Experimental Design
34
Experimental design
35
Experimental design
  • Constant haptic feedback
  • Real cylinder is always circular
  • Virtual cylinders 15 aspect ratios, 3
    orientations
  • Veridical haptic feedback
  • Virtual and real cylinders are the same, 7
    aspect ratios and 2 orientations

36
Constant haptic feedback
  • Only half of the subjects scale their grip
    orientation
  • If they do, the scaling of grip orientation is
    similar to real objects (0.42)

37
Constant haptic feedback
  • Subjects hardly scale their max. grip aperture
  • Scaling of max. grip aperture is much smaller
    than for real objects (0.14 instead of 0.57)

38
Thus
  • Inconsistent haptic feedback reduces scaling
    gains
  • Possible cause
  • All subjects scale their grip aperture based on
    the felt size
  • Scaling of grip orientation based on seen
    orientation for only half of the subjects, and
    the felt orientation for the other half

39
Veridical haptic feedback
  • Similar pattern of grip orientations for all
    subjects
  • Scaling of grip orientation (0.58) close to those
    for real objects (0.60)

40
Veridical haptic feedback
  • All subjects adjust their maximum grip aperture
  • Scaling of max. grip aperture (0.39) much higher
    and closer to real objects (0.57)

41
Thus
  • With consistent haptic feedback
  • Scalings of grip orientation and grip aperture
    close to those for real cylinders
  • Less variability between subjects

42
Comparison of experiments
Real Cylinders
Consistent Feedback
Inconsistent Feedback
43
Thus
  • Natural grasping of virtual cylinders requires
    veridical haptic feedback
  • Grip orientation and grip aperture can be scaled
    independently

44
Modeling grip planning
45
Modeling grip planning
  • Physical constraints
  • Grip force through centre of mass
  • Grip force perpendicular to surface
  • Optimal grip along major or minor axis
  • Biomechanical constraints
  • For a given cylinder location there is a most
    comfortable grip
  • Evident when grasping circular cylinder

46
Modeling grip planning
  • Assumptions
  • The planned grip orientation is a weighted
    average of the optimal and the comfortable grip
    orientation
  • The weights follow from the expected cost
    functions for comfort and mechanical stability

47
Modeling grip planning
If
Then
(required)
48
Modeling grip planning
  • Perceptual errors change the perceived cylinder
    orientation
  • The comfortable posture may also be uncertain

49
Modeling grip planning
  • If distributions are Gaussian with zero mean, we
    get
  • For the circular cylinder w0, so that

50
Modeling grip planning
  • Each grip axis may be grasped in different modes
  • Model predicts probability of each mode

51
Modeling grip planning
  • The model describes the relative costs for grip
    comfort and mechanical stability
  • It predicts the relative probability of choosing
    the major or minor axis
  • We can incorporate biases in the perceived
    cylinder orientation
  • We can extend to more general shapes

52
Conclusions
  • Subjects plan their grasps to suboptimal
    locations based on the perceived shape and the
    anticipated (dis)comfort
  • Upon touching the surface the errors are
    corrected
  • Haptic feedback is necessary for natural grasping
  • With our model we can identify relative
    contributions of comfort, stability and
    perceptual errors

53
Conclusions
  • Visual shape information (slant, curvature) is
    used for planning suitable grip locations
    (position information)
  • Perceptual bias
  • Bias due to comfort of posture
  • No substantial on-line corrections ? On-line
    control uses position information
  • When inconsistent, haptic and visual shape
    information is combined differently for the
    planning of grip aperture and grip orientation

54
The end
55
Stable grip of an ellipse
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