Figure 1: Experimental setting.
2.3 Data Collection
Movements of the bat and ball were recorded using
two synchronized, high-speed video cameras
(MEMRECAM fx-K5, Nac Image Technology,
Japan)
with 1000 frames/sec. Forty-two reflex
markers were attached to the body landmark of
participants and baseball bat. Those markers were
captured by motion capture system (MAC 3D,
Motion Analysis Corporation, USA) at 500Hz.
2.4 Data Processing
The image data of bat head, bat grip, and ball center
were manually digitized using motion analysis
software (Frame Dias V, DKH, Japan). The three-
dimensional coordinates were obtained with the
direct linear transformation method. The image at
the instant of ball-bat contact was used for the
analysis. We defined the area formed by standard
deviation in short and long axes on the bat
coordinate as an index of precision at ball-bat
contact (Figure 2).
To smooth the motion capture data, marker
coordinates were filtered using a lowpass
Butterworth digital filter with a cutoff frequency of
13.3 Hz (Welch et al, 1995; Inkster et al, 2010). We
used a rigid link model that contains two trunk
segments and 12 upper/lower joints. Therefore, 30
angles were calculated as kinematic variables of the
body. Segments/joints (angles) were, thorax and
pelvis (anterior/posterior tilt, right/left tilt, right/left
rotation), shoulder (flexion/extension,
abduction/adduction, internal/external rotation),
elbow (flexion/extension, pronation/supination),
wrist (palmar/dorsi flexion, radial/ulnar deviation),
hip (flexion/extension, abduction/adduction,
internal/external rotation), knee (flexion/extension),
ankle (dorsi/plantar flexion), respectively. Following
the joint angle calculation, coefficient of variation
(CV) in each angle was worked out as a kinematical
variable. All processing of motion capture data were
performed using Visual 3D (C-Motion, Inc., USA).
Figure 2: Index of precision at ball-bat contact.
2.5 Visualization of Results
We visualized the CV value of each angle in a
forward swing phase. The forward swing phase is
defined as the phase between swing initiation and
ball-bat contact. The data were then time-normalized
to 100% using a cubic spline (Kawamura et al,
2008). Visualization process was conducted using
Matlab 2014a (Mathworks, Inc., USA).
3 RESULTS
Figure 3 shows the results of the visualization of CV
(%) in forward swing phase of all participants (P1 to
P10). In figure 3, the degrees of CV were shown as
heat maps. Red zones indicate higher value, blue
ones represent lower value. Graphs of P1 to P10
were in order based on the index of precision at ball-
bat contact; P1 was the most precise hitter; P10 has
the lowest precision in all participants.
In particular, higher or medium values of CV
were observed in the trail shoulder, elbow, and wrist
of P5 to P9. Additionally, CV in thorax and pelvis
rotation showed medium or higher value in early to
intermediate phase of swing across all participants.