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Table 1. Correlation of Timing Variables (per Panel)
System
Panel
Outcome
Pearson r
Kinect-Mat
LF
DT
.6110
MT
.2100
RT
.7320
LL
DT
.4350
MT
.1230
RT
.7550
RF
DT
.7930
MT
.7060
RT
.7980
RR
DT
.7030
MT
.1570
RT
.7680
Table 2. Correlation of CSRT, MT and DT
System
Outcome
Pearson r
Kinect-Mat
CSRT
.7875
MT
.3329
DT
.6430
5
Discussion
This study shows that our Kinect-based system is able to compute the Choice
Stepping Reaction Time (CSRT) task. Timing variables such as Decision Time (DT),
Movement Time (MT) and Reaction Time (RT) were analised to assess the
capabilities of the Kinect to reliably perform a time-based clinical test. The variability
of the reaction times was assessed and reported to be equivalently distributed in the
Kinect and the MAT. Correlations between the Kinect and the MAT were high for RT
suggesting that the Kinect could fulfill the requirements of the CSRT Test. In regards
to the DT and MT values, the former showed high correspondence between the two
systems whereas the latter reported a poor correlation. It is likely that the MT value
did not agree completely due to the lack of precision in detecting the initiation of the
user's leg movement. In the Mat this is determined by absence of pressure on the step
panels whereas in the Kinect is determined by the location of the foot in relation to
the virtual panels. The latter could have been affected by delays in the Kinect output
data or the limitation imposed by the frame rate at what the Kinect operates at. In
spite of this, the RT values were utilized to compute measure of the CSRT task.
Statistical analysis and correlation demonstrated that Kinect measure of the CSRT
confidently agreed with the CSRT values computed by the MAT. In addition to this,
the data presented show that RT for the Kinect was overall shorter than for the MAT
as shown in Figure 5, suggesting that this test might be slightly less cognitively
demanding. It is likely that the immersive nature of this system and the appropriate
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