Work

Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone

Year: 2023

Type: article

Abstract: 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 smartphone can measure bilateral and unilateral CMJ jump height.Methods:First, three repetitions each of bilateral and unilateral CMJ were performed by sixteen healthy adults (mean age: 30.87$\pm$7.24 years; mean BMI: 23.14$\pm$2.55$\text{kg/m}^{2}$) on force plates and simultaneously captured using optical motion capture (OMC) and one smartphone camera. Next, MMC was performed on the smartphone videos using OpenPose. Then, we evaluated MMC in quantifying jump height using the force plate and OMC as ground truths.Results:MMC quantifies jump heights with ICC between 0.84 and 0.99 without manual segmentation and camera calibration.Conclusions:Our results suggest that using a single smartphone for markerless motion capture is promising.

Source: IEEE Open Journal of Engineering in Medicine and Biology

DOI: 10.1109/ojemb.2023.3280127

Authors: Timilehin B. Aderinola, Hananeh Younesian, Darragh Whelan, Brian Caulfield, Georgiana Ifrim

Institutions: University College Dublin, Insight SFI Research Centre for Data Analytics

Language: English

Topic: Human Pose and Action Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,950