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A Comparison of AI-Captured Vertical Jump Kinematics in College Aged-Adults
Location: 40
Mentor: Dr. Moataz Eltoukhy
OpenCap is an open-source platform that allows for simulation of both the kinematics and dynamics of human movements using videos from two or more mobile devices [3]. In this study, OpenCap was used to record the Counter Movement Jump (CMJ) and Drop Jump (DJ) of participants and utilized algorithms to identify body landmarks to then estimate three-dimensional kinematics. The CMJ and DJ were used in this study as they have been shown to be a reliable measure of lower limb strength and performance [1;2]. The objective was to analyze whether the kinematics of the CMJ were different than those in the DJ, measured by OpenCap, as an indication of the software's effectiveness. It was hypothesized that the majority of CMJ kinematics would be greater than those of the DJ. 18 subjects (M/F: 9/9; Age: 22.61 ± 1.97 years, mean mass=69.96 ± 13.46, mean height =1.72 ± 0.09) were included in this study. All subjects were captured at a frame rate of 120 Hz using two IOS devices. The DJ involved the use of a 30 cm box. Lower body joint angles were measured at the hip, knee, and ankle throughout three phases – the loading, takeoff, and landing. Three eligible, recorded trials for each movement were used per subject. The kinematics of the DJ were compared to the CMJ using a paired samples t-test. The results showed that the mean difference between CMJ and DJ kinematics were statistically different in five of the nine variables, including the ankle and hip joints for the loading phase along with all lower body joints in the takeoff phase. Significance across all joints was not observed for the landing phase. Therefore, detection of only anticipated differences between movements indicates that OpenCap is effective in capturing and estimating the lower body kinematics of the CMJ and DJ.
