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Jeonghoon Oh

Researcher at University of Miami

Publications -  16
Citations -  375

Jeonghoon Oh is an academic researcher from University of Miami. The author has contributed to research in topics: Gait analysis & Gait (human). The author has an hindex of 6, co-authored 16 publications receiving 237 citations.

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Improved kinect-based spatiotemporal and kinematic treadmill gait assessment

TL;DR: Results showed that the Kinect v2 sensor has the potential to be an effective clinical assessment tool for sagittal plane knee and hip joint kinematics, as well as some spatiotemporal temporal variables including pelvis displacement and step characteristics during the gait cycle.
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Microsoft Kinect can distinguish differences in over-ground gait between older persons with and without Parkinson's disease

TL;DR: The Kinect v2 can was sensitive enough to detect between group differences and consistently produced results similar to the BTS system and Agreement and consistency were excellent between systems for stride length, stance duration, swing duration, gait velocity, and swing velocity.
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Kinect-based assessment of lower limb kinematics and dynamic postural control during the star excursion balance test.

TL;DR: The results indicate that this low-cost and easy to implement technology may provide to clinicians a simple tool to simultaneously assess reach distances while developing a clearer understanding of the lower extremity movement patterns associated with SEBT performance in healthy and injured populations.
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Prediction of ground reaction forces for Parkinson's disease patients using a kinect-driven musculoskeletal gait analysis model.

TL;DR: Results showed that the Kinect v2 sensor has the potential to be an effective clinical assessment tool for predicting GRFs produced during gait for patients with PD, however, the observed findings should be replicated and model reliability established prior to integration into the clinical setting.
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Validation of Static and Dynamic Balance Assessment Using Microsoft Kinect for Young and Elderly Populations

TL;DR: This study established the validity of the Kinect v2 sensor in assessing center of mass (CoM) excursion and velocity during single-leg balance and voluntary ankle sway tasks among young and elderly subjects and compared balance outcome measures to a traditional three-dimensional motion analysis system.