Swingscale: a Cross-platform Mobile App for Real-time Tennis Form Analysis Using Machine Learning
Year: 2025
Type: conference-paper
Abstract: In regions where access to professional tennis coaching is limited, aspiring athletes often find their potential capped by a lack of resources. SwingScale steps in as a game-changing mobile application, harnessing the precision of a custom-trained machine learning model to analyze tennis form right from the palm of the user’s hand [14].
Authors: Bowen Li, Ang Li
Institution: California State University, Long Beach
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4414475750
FWCI:
Cites:
Cited by:
Related to: