D. Lee et al., MANUAL INTERCEPTION OF MOVING TARGETS .2. ONLINE CONTROL OF OVERLAPPING SUBMOVEMENTS, Experimental Brain Research, 116(3), 1997, pp. 421-433
We studied the kinematic characteristics of arm movements and their re
lation to a stimulus moving with a wide range of velocity and accelera
tion. The target traveled at constant acceleration, constant decelerat
ion, or constant velocity for 0.5-2.0 s, until it arrived at a locatio
n where it was required to be intercepted. For fast moving targets, su
bjects produced single movements with symmetrical, bell-shaped velocit
y profiles. In contrast, for slowly moving targets, hand velocity prof
iles displayed multiple peaks, which suggests a control mechanism that
produces a series of discrete submovements according to characteristi
cs of target motion. To analyze how temporal and spatial aspects of th
ese submovements are influenced by target motion, we decomposed the ve
rtical hand velocity profiles into bell-shaped velocity pulses accordi
ng to the minimum-jerk model. The number of submovements was roughly p
roportional to the movement time, resulting in a relatively constant s
ubmovement frequency (similar to 2.5 Hz). On the other hand, the submo
vement onset asynchrony showed significantly more variability than the
intersubmovement interval, indicating that the submovement onset was
delayed more following a submovement with a longer duration. Examinati
on of submovement amplitude and its relation to target motion revealed
that the subjects achieved interception mainly by producing a series
of submovements that would keep the displacement of the hand proportio
nal to the first-order estimate of target position at the end of each
submovement along the axis of hand movement. Finally, we did not find
any evidence that information regarding target acceleration is properl
y utilized in the production of submovements.