PS3060: Perception and Action
Term II, MONDAY 10 – 12 am (Room 128 Wolfson)
Lecture 4: Cricket: how to hit a ball that can’t be
seen
Course co-ordinator: Johannes M. Zanker,
j.zanker@rhul.ac.uk, (Room 218)
Topics Lecture 4:
- intercepting moving objects: the visuomotor problem
- hitting a spider: separation of perception and action systems?
- catching a ball: a simple task
- the outfielder - running for catching
- the batsman: what can they do, what do they do?
- the ecological approach to vision: an evaluation
The visuomotor problem of intercepting moving objects
biological relevance: predators
have to intersect prey (sea eagle); in many instances animals have to catch
mating partners (flies)
in humans intercepting moving objects is required by a wide range of very common
activities like reaching/grasping, catching, hitting with tool
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experimental analysis starts with simplified situations
basic geometry of interception (Lishman 1981)
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similarity to collision avoidance : collision achievement !
however : extensive debate whether tau theory is a sufficient or necessary
part of understanding human behaviour
corresponding constructions for other trajectories of
object relative to observer, and for collision of 2 objects (Bootsma and
Oudejans 1993)
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however: extensive debate whether tau theory is a
sufficient or necessary to understand
human behaviour
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generalisations would generate typical
errors, if no additional rules are put into place
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focus on tau would be ignoring other
useful cues (Tresilian 1999) (Wann 1996)
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>> object interception
good example to study visuomotor mechanisms
Motion in depth: monocular and binocular cues
in a more general case, variable direction of
approaching object, the geometry is less simple:
time and distance of intersecting image plane are crucial variables
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monocular information is ambiguous: optical
estimates lateral distance of interception from observation point, for
instance, depends on objects size (Regan and Kashal 1994)
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the binocular geometry of interception trajectories
provides additional information: estimates of object size, cues about
direction of motion from disparity changes in the two
eyes (Regan et al. 1995)
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monocular and binocular information
can be used in a similar way to estimate the timing of an interception event
(Regan and Gray 2000)
simulated approaches suggest that various cues
necessary to construct such estimates can be extracted
by human observers independent of each other, if required (Regan
and Kaushal 1994) (Regan and Gray 2000)
psychophysical experiments further demonstrate:
- interactions between
different cues in timing tasks (Regan and Gray. 2000) (Brenner et al. 1996)
- binocular information
helps to deal with rotating non-spherical objects (Gray and Regan 2000a)
- interactions with flowfields in the
background (Gray and Regan 2000b)
Hitting the spider paradigm
is the position of a target specified in the same way in the perception
and action systems ?
- ‘cognitive’ approach: explicit &
separate internal representations of external environment for perception and
action (where do these come from? can they be formalised?)
- ecological approach: direct extraction of invariant
from sensory signal to drive perceptual and behavioural response (provides
the chance to be complemented by computational analysis > algorithms)
a typical fast goal directed action is used to study potential differences between
perception & action
peculiar properties, such as misperceived object motion in presence of background
flow (Brenner 1991), can be exploited to compare characteristic patterns
>> experimental question: do we find changes of action patterns similar
to those found in perception?
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basic paradigm (Smeets and Brenner 1995)
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- spider walking across screen, structured background
static/moving independently
- hit spider on protective screen with perspex rod
- compare the speed/final position
of two successively presented spiders
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Perceptual matches
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- speed comparison for static background is very
accurate
- perceived speed is enhanced/reduced by background
motion in opposite/same direction
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- perceived position is very accurate for all speeds
- perceived position is unaffected by background
motion
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Hand movements
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- RT (reaction time) reduced for faster spiders
- for slow spiders: RT reduced for opposite background
motion, increased for background motion
in same direction as spider (i.e. treated like faster/slower spiders)
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- MT (movement time) decreases for faster spiders
(i.e. average hitting speed grows with spiders velocity)
- MT is reduced for opposite background motion,
increased for background motion
in same direction as spider (i.e. treated like faster/slower spiders)
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- overall direction of hand trajectory varies systematically
with spider speed (home in on spider position at screen impact) >
lateral position converted in ‘apparent speed’
- direction estimates are unaffected by background
motion
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Hitting and seeing moving targets
general conclusions:
- speed estimates influenced by background motion in both perception
and action
- position estimates unaffected in both perception and action
>> in this paradigm, perception and action seems
to be based on same information processing mechanisms !
further support by observations on changes of hitting trajectories when
the spiders movement is irregular (Brenner and Smeets 1997) (Brenner et al.
1998)
Response to stimulus perturbations during execution of hand movements
perturbations of spider (background) trajectory after onset of hand
movement:
- brief jump of spider position >> lateral
correction to meet target after about 110 msec
- background movement with static spider (and controls
of moving spiders with static background) >> no effect
of background movement on final lateral position
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perceptual measurements lead
to corresponding results
- perceived position of target is shifted with background
- perceived motion of target is opposite to background motion direction
these results have been interpreted as evidence that after onset of hand
movement subjects respond with lateral trajectory adjustments
to changes in position rather than to changes in velocity (Brenner and
Smeets 1997)
further evidence that the acceleration
of the hand is continuously adjusted on basis of target speed with a delay of
200 msec (Brenner et al. 1998)
Catching of tennis balls
Is it necessary to see the complete path of a moving target to predict interception
point & catch? (Whiting & Sharp 1974)
- one-handed catching of tennis ball
- illuminated for 80 msec
- followed by a dark period of 125 – 445 msec (125 msec: visual
delay: lower minimum)
best performance for 285 msec darkness, worse for shorter and for longer
durations of blackout before catch
>> optimum time window to
predict flight path 250 –300 msec before
impact
>> minimise duration of storage in memory and meet minimum processing
time to extract flight path information
this observation would be accounted for by the general suggestion that 300
msec TTC are critical to initiate
and execute a standardised motor pattern (Lee 1980)
Punching a dropping ball – the quick and dirty estimate of TTC
a ball dropping towards the ground accelerates
at constant rate (G) and therefore violates the assumption of
constant speed that is necessary for using tau (tau
= theta/(d.theta/d.t)) as TTC estimate
however, close to impact tau converges towards the veridical
TTC value, and would provide a reasonably good estimate far
any time shorter than 250 msec before contact
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knee and elbow kinematics were
measured in subjects initiating a jump to punch a ball dropping from various
heights (Lee et al. 1983)
- profiles of flexion phase of these joints vary a lot when plotted
as function of TTC
- action starts sooner and lasts longer when ball drops from greater
heights
- but kinematic time series coincide when plotted as function of tau
!
this result can be interpreted as strategy to
use a critical tau value to initiate the jump and later fine-tune
the punch movement using more accurate information
Critical test: the deflated ball
so far just observation of correlated events >> what would be critical
prediction to prove that tau is used?
the experimental manipulation of the object's expansion rate should change response
timing!
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grasping a ball which is changing its size
(Savelsbergh et al. 1991)
inflating ball leads
to reduction of relative expansion, as compared to
constant size, with
identical speed
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how does this affect kinematics of grasping?

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hand aperture (thumb-index finger) initially like that
for large ball, later close to that for small ball
maximum closing velocity:
large : -46 msec
small : -40 msec
deflating: -24 msec
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the process that initiates closing the aperture
follows the prediction of estimating TTC
by tau:
significantly shorter for deflating ball (reduced relative expansion rate)
additional support for this conclusion from experiments with limited viewing
time :
different critical period for deflating ball (Savelsbergh et al. 1993)
Run & catch: the outfielder’s problem
problem of catching a ball is
aggravated when the ball is not on intersection
trajectory within catchers reach (see above for geometry of
general solution)
the outfielder in baseball or cricket has to run for a ball flying on a ballistic
trajectory
a simple geometric strategy seems to help: the outfielder is
moving on a path that keeps the perceived trajectory of the ball straight
(McBeath and Shaffer 1995)
this will bring the fielder into the path of the ball when the
fielder reaches the point of landing
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video analysis of professional
fielders show that they follow a path at variable
speed, keep watching the ball and catch on the run
– just as predicted by this hypothesis !
other, simplified strategies may apply for cases when the ball flies in
the fielder’s direction:
moving forwards and backwards
to catch the ball, following a simple geometrical rule
- keep the second temporal derivative of elevation constant (McLeod and
Dienes 1993)
Finally, what is the batsman’ problem?
fast bowling is dangerous !
HRH Frederick Louis,
Prince of Wales, was killed by cricket ball in 1751
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- where does the ball move after bouncing
??
- what is the remaining time (depending on
speed of the ball and the point where it hits the ground)
??
short-pitched, fast ball: (Regan. 1992)
- 90 mph (40 m/sec)
- 30 ft (10 m) from batsman
- 250 msec to coordinate stroke !
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to predict these variables requires outstanding
precision !!!!!!!!!!!
- some common advice: ‘keep your eye on the ball’
- a less common advice ‘get your nose over the ball – smell it, sir’
A few myths, a few facts
Victor Trumper,
London Oval, 1902
impact between bat and ball in spatial and temporal ‘window’:
10 cm, 5 msec (Regan. 1992)
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Saw it ? How fast ?
- a recent claim suggests that a cricket ball can reach a maximum speed of
145 mph (Butcher 2001); ths was challenged on grounds of physical constraints
– was it no more than 145 km/h? (Couper 2001)
Reaction times ?
- visual reaction times in highly trained professionals are about 200
msec, not much different from other people (McLeod 1987)
Colours and light levels ?
- catching performance of professional cricketers is not influenced
by illuminance levels and colour of the ball (Scott et al. 2000)
Body movement mimicry ?
- a preliminary study of identification performance for bowling deliveries
suggests that professionals show greater discrimination ability than amateurs
(Renshaw & Fairweather, 2000)
Some suggestions
what are the visual cues (simple
optical parameters in Gibsonean sense) that batsmen can use ? (Regan 1992)
- absolute distance estimation and line of sight velocity
- stereoscopic reconstruction of visual space >
trajectory in horizontal plane from retinal speed differences, dynamic disparity
cues
- visual judgement of TTC from tau, advanced tau-based strategies
- superior reaction times
- geometric estimation of where the ball will hit the
ground
- acquiring expertise for patterns of bowler deliveries
>> the visual system is pushed to its limits
!!!!!!!
So what do batsmen do ?
a geometrical analysis of fast bowling in the vertical
plane may suggest simplified strategies to estimate time and level of
arrival (t1, y) for predictive judgements (Land and McLeod
2000)
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foveal region provides best visual information
> eye movements can reveal visuomotor strategies
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the experiment:
- TV headset to monitor batsman’s view and gaze
- three levels of skill
- bowling machine

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eye and head angles in relative coordinates
>> gaze direction and ball direction
(in space coordinates, from head level)
and this is what bowlers do:
- rest on point of delivery
- early saccade (loosing ball) : close to subsequent bouncing
point (counter-rotation of head and eyes)
- capture of ball in centre of gaze, tracking in
lower regions
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effects of delivery length and batsman skills
on saccacde pattern : earlier, fewer saccades by professional
ability to combine pursuit and saccades tracking mainly after bounce,
for not more than 200 msec, before that not keeping eye on the
ball !
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unambiguous information only after bounce:
the pre-bounce height and distance can be mapped on the post-bounce height and
distance, knowing the surface properties of the ground (acquired through a number
of initial defensive shots, adjusted through tracking) >> mapping a such
requires experience
key reading:
- Bruce V, Green PR & Georgeson M (1996) Visual Perception: Physiology,
Psychology and Ecology (3rd ed.) Hove: Psychology Press, (152.14
BRU) (ch 13)
- Land, M F, McLeod, P (2000) "From eye movements to actions: how batsmen
hit the ball" Nature Neuroscience 3, 1340-1345
- Regan, D (1992) "Visual judgements and misjudgements in cricket,
and the art of flight" Perception 21, 91-115
- Regan, D, Gray, R (2000) "Visually guided collision avoidance and
collision achievement" Trends in Cognitive Sciences 4, 99-107
comprehensive reference and reading list:
- Bootsma, R J, Oudejans, R R D 1993 "Visual Information About Time-to-Collision
Between Two Objects" Journal of Experimental Psychology: Human Perception
and Performance 19, 1041-1052
- Brenner, E 1991 "Judging object motion during smooth pursuit eye movements:
the role of optic flow" Vision Research 31, 1893-1902
- Brenner, E, Smeets, J B J 1997 "Fast Responses of the Human Hand to Changes
in Target Position" Journal of Motor Behavior 29, 297-310
- Brenner, E, Smeets, J B J, de Lussanet, M H E 1998 "Hitting moving targets.
Continuous control of acceleration of the hand on the basis of the target's
velocity" Experimental Brain Research 122, 467-474
- Brenner, E, Van den Berg, A V, Van Damme, W J 1996 "Perceived Motion in
Depth" Vision Research 36, 699-706
- Butcher, J 2001 ""Hit it? I couldn't even see it!"" The Lancet 358,
358
- Couper, R 2001 "Cricket at the speed of light" The Lancet 358, 1650
- Gray, R, Regan, D 2000a "Esimating time to collision with a rotating nonspherical
object " Vision Research 40, 49-63
- Gray, R, Regan, D 2000b "Simualted self-motion alters perceived time to
collision" Current Biology 10, 587-590
- Land, M F, McLeod, P 2000 "From eye movements to actions: how batsmen hit
the ball" Nature Neuroscience 3, 1340-1345
- Lee, D N, Young, D S, Reddish, P E, Lough, S, Clayton, T M H 1983 "Visual
timing in hitting an accelerating ball" Quarterly Journal of Experimental
Psychology 35 A, 333-346
- Lishman, J R 1981 "Vision and the optic flow field" Nature 293,
263-264
- McBeath, M K, Shaffer, D M 1995 "How Baseball Outfielders Determine Where
to Run to Catch Fly Balls" Science 268, 569-573
- McLeod, P 1987 "Visual reaction time and high-speed ball games" Perception16,
49-59
- McLeod, P, Dienes, Z 1993 "Running to catch the ball" Nature 362,
23
- Regan, D 1992 "Visual judgements and misjudgements in cricket, and the
art of flight" Perception 21, 91-115
- Regan, D, Gray, R 2000 "Visually guided collision avoidance and collision
achievement" Trends in Cognitive Sciences 4, 99-107
- Regan, D, Hamstra, S J, Kaushal, S, Vincent, A, Gray, R, Beverley, K I
1995 "Visual processing of the motion of an object in three dimensions for
a stationary or a moving observer" Perception 24, 87-103
- Regan, D, Kaushal, S 1994 "Monocular Discrimination of the Direction of
Motion in Depth" Vision Research 34, 163-177
- Savelsbergh, G J P, Whiting, H T A , Bootsma, R J 1991 "Grasping Tau" J.exp.Psychol.[Human
Perc.&Perf.] 17, 315-322
- Savelsbergh, G J P, Whiting, H T A , Pijpers, J R, Santvoord, A A M v 1993
"The visual guidance of catching" Experimental Brain Research 93,
148-156
- Scott, K, Kingsbury, D, Bennett, S, Davids, K, Langley, M 2000 "Effects
of cricket ball colour and luminance levels on catching behaviour in professional
cricketers" Ergonomics 43, 1681-1688
- Smeets, J B J, Brenner, E 1995 "Perception and Action Are Based on the
Same Visual Information: Distinction Between Position and Velocity" J.exp.Psychol.[Human
Perc.&Perf.] 21, 19-31
- Tresilian, J R 1999 "Visually timed action: time-out for 'tau'?" Trends
in Cognitive Sciences 3, 301-310
- Wann, J P 1996 "Anticipating Arrival: Is the Tau Margin a Specious Theory?"
J.exp.Psychol.[Human Perc.&Perf.] 22, 1031-1048
some
study questions
download lecture handout
back to index page
last update 23/02/2004
Johannes M.
Zanker