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Found 4 papers, 1 papers with code
Machine Vision-Enabled Sports Performance Analysis
$\textbf{Goal:}$ This study investigates the feasibility of monocular 2D markerless motion capture (MMC) using a single smartphone to measure jump height, velocity, flight time, contact time, and range of motion (ROM) during motor tasks.
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification
Additionally, a minimum of 3 IMUs are required to outperform a single camera.
Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone
This study evaluates how accurately markerless motion capture (MMC) with a single smartphone can measure bilateral and unilateral CMJ jump height.
Gait-based Age Group Classification with Adaptive Graph Neural Network
This paper proposes a deep learning approach to extract age-associated features from model-based gait for age group classification.
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