Sensory integration-based clinical observation refers to the process of integrating various sensory inputs to
make observations. This integration is critical for children, as damage to the motor coordination system can
lead to developmental coordination disorder, potentially causing delays in tasks like writing or language development.
Clinical observations of this nature are qualitative, relying on therapists’ visual confirmation and subject
to their subjective judgments. To overcome the limitations of qualitative assessments, this study conducted
a quantitative analysis. It involved capturing subjects’ hands using a webcam and extracting joint coordinates
from the resulting human model. The analysis aimed to generate quantitative metrics, such as the number of
hand flips, angles, success rates, and the correlation coefficient between both hands. The results revealed that,
in analyzing the RFR (Reaching, Flipping, and Returning) task of 21 subjects with normal hand function, the
subjects averaged 14.6 (2.73) flips in a 15-second task, with success rates of approximately 95.5 % (6.43) for the
left hand and 93.5 % (8.13) for the right hand. Therefore, the study confirmed the potential of integrating
quantitative assessment methods to complement qualitative evaluation methods.