###### Abstract  
We present a novel approach to the development of the clinical practice of human movement and its clinical applications. We show that the proposed clinical practice is a key step towards the development of clinical practice. We show that the proposed clinical practice is a key step towards the development of clinical practice. We show that the proposed clinical practice is a key step towards the development of clinical practice. We also show that the proposed clinical practice is a key step towards the development of clinical practice. reduced step length for the trailing limb and a significantly larger mediolateral distance between the center of pressure and center of mass during first double support and second double support for the second step. Their results suggested that the margin of stability may be useful in discerning postural control adaptations during obstacle negotiation in the PD group. Similarly, [PERSON] et al. (Contributor 2) studied the risk of falls for PD, especially in turning. Their project investigated the dynamic balance control in people with PD compared to the healthy individuals during walking with 90\({}^{\circ}\) turns. The results showed that there were no significant differences in the gait variables or dynamic balance parameters between the two groups. This finding indicated that the people with PD in the early stages of disease may not be seen as different from the healthy group. It should be noted that a future study on the people with PD in later stages should be considered. Using the entropy concept, [PERSON] et al. (Contributor 3) investigated the body's postural control system with balance characteristics. They collected the center of pressure for stances with feet together and feet tandem, with eyes opened or closed, in neurotypical participants. The parameters included the indices of entropy and velocity to examine how sensitive the variables were tracking changes at stability levels. The results showed increased approximate entropy in anterior/posterior and medial/lateral directions and increased velocity in both directions during the conditions of decreased stability. This study indicated that researchers could use motion analysis to combine with the concepts from other fields, e.g., signal analysis, to obtain useful information for clinical applications. Given that motion analysis is mainly on physics and biomedical engineering, the other fields may include physiology, artificial intelligence (AI), robotics, anatomy, etc. The paper by [PERSON] et al. (Contributor 4) is on both gait analysis and posture maintenance. They checked if a long time of cross-leg sitting (CLS) affected gait. The results showed that some gait parameters, e.g., walking speed, are improved while kinetic parameters, e.g., joint forces, are not changed too much by CLS. As the CLS is a habit posture in some Asian countries, this study indicated a strongly social significance. [PERSON] et al. (Contributor 5) examined a marker-less motion capture system and compared it with the Vicon(r) motion capture system, the latter being considered as one of the best systems in motion analysis. They collected basic movements, e.g., hip flexion, knee flexion, and trunk rotation using both the new and Vicon systems simultaneously, from five healthy participants. To assess the systems, the intra-class correlation coefficient (ICC) was calculated to examine angular-range validity and the intra-joint reliability of the systems. The results showed that the ICCs for hip flexion and knee flexion were 0.924-0.998 and 0.842-0.989, respectively. They concluded that the new markerless motion capture system had a reasonable reliability in measuring joint kinematics during movements. However, the results also showed significant differences between the new and Vicon systems in some parameters and curves.