Introduction to Motor Control Flashcards

1
Q

what is the movement scientists perspective

A
  • the brain is specialised in movement
  • if we understand movement, we understand the brain
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2
Q

why is movement so easy to us

A
  • we do not recognise the difficulty of the movement control
  • complicated high-level control strategies are used by our brain, even when we are thought-lessly doing simple motor tasks
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3
Q

what are empirical observations of fitts law

A
  • if you need accuracy, you become slow
  • a highly precise relationship can be found between movement duration and log (2A/W)
  • this relationship is NOT limited to specific body parts or specific movement
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4
Q

what are empirical observations of two-third power law

A
  • if you are making a curved movement you become slow - slower when more curved
  • curvature (larger is flatter) and velocity may have a positive relationship
  • this relationship is NOT limited to specific body parts or specific movement
    • can be found in running, drawing, dancing etc
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5
Q

what is space

A
  • set (of points) with some added structures
  • e.g. plane: two dimensional space
  • e.g. cube, sphere etc: three dimensional space
  • e.g. world: three dimensional space + additional dimension of time
  • e.g. space with a complex structure (non-Euclidean)
  • end effector space / task space / operational space
    • viewed from eye level
  • configuration space / joint angle space / body space
    • viewed from limb position
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6
Q

what is a coordinate system

A
  • set of numbers (called coordinates) that uniquely determine a point in space
  • a single space can have multiple coordinate systems
  • also called coordinate frame / reference frame
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7
Q

what are the different coordinate systems

A
  • cartesian
    • all axes (x, y, z) cross through the origin
  • cylindrical
    • specifies point positions by the distance from a chosen reference axis, the direction from the axis relative to a chosen reference direction and the distance from a chosen reference plane perpendicular to the axis
  • spherical
    • determine the position of a point in three dimensional space based on the distance from the origin and two angles
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8
Q

what does egocentric mean

A

coordinate system attached to our body (first person view)

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9
Q

what does allocentric mean

A

coordinate system attached to external world (third person view)

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10
Q

what is linear vs angular kinematics

A

distances vs angles

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11
Q

what is linear vs angular kinetics

A

forces vs torques

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12
Q

what is the equation for force

A

F = Ma
force/dynamics = intertia x acceleration/kinematics
- newtons second law defines relationship between kinematics and dynamics
- this simple equation can be extended and applied to much more complex systems where F and a are vectors (of forces and torques) and M is a matrix (inertia matrix)

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13
Q

what is control in this context

A
  • feedforward (open) loop: plan in advance (i.e. pre determined actions)
  • feedback (closed) loop: policies (i.e. case by case actions)
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14
Q

what are the pros and cons of a feedforward controller

A
  • pros
    • movement can be controlled without gathering / processing any external information: good for fast movement
  • cons
    • error mode by controller accumulates over time
    • no flexibility to environmental changes
    • high cost of planning, no generalisation
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15
Q

what are the pros and cons of the feedback controller

A
  • pros
    • flexible: can deal with unexpected events
    • robust: control error does not accumulate over time
    • general: control is invariant to starting or goal position
  • cons
    • processing sensory feedback is time consuming - not so good for fast movement
    • controller can become unstable when sensory feedbacks are noisy and the feedback gain (degree of how seriously I take the answer) is high
    • can also become unstable when feedbacks are delayed
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16
Q

what is variability

A
  • even when the same movement is repeated, controller behaviours under uncertainties result in different movement patterns
  • this is called variability - by taking a closer look at the variability patterns, we can get a sense of the brain’s control strategy