10 citations · 11 across the 4 of their papers we have counts for
4 papers · 1 filter
Machine Vision-Enabled Sports Performance Analysis
Timilehin B. Aderinola, Hananeh Younesian, Cathy Goulding +3
This study investigates the feasibility of monocular 2D markerless motion capture (MMC) using a single smartphone to measure jump height, velocity, flight time, co…
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification
Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola +5
Wearable sensors such as Inertial Measurement Units (IMUs) are often used to assess the performance of human exercise. Common approaches use handcrafted features based on domain ex…
Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone
Timilehin B. Aderinola, Hananeh Younesian, Darragh Whelan +2
Goal: The countermovement jump (CMJ) is commonly used to measure lower-body explosive power. This study evaluates how accurately markerless motion capture (MMC) with a single smart…
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers
Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen +6
Technological advancements have spurred the usage of machine learning based applications in sports science. Physiotherapists, sports coaches and athletes actively look to incorpora…