A Proposed Method for Deep Learning-Based Automatic Tracking with Minimal Training Data for Sports Biomechanics Research

A Proposed Method for Deep Learning-Based Automatic Tracking with Minimal Training Data for Sports Biomechanics Research

<b>Background:</b> This technical note proposes a deep learning-based, few-shot automatic key point tracking technique tailored to sports biomechanics research. <b>Methods:</b> The present method facilitates the arbitrary definition of key points on athletes’ bodies or sports...

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Bibliographic Details
Main Authors: Daichi Yamashita, Minoru Matsumoto, Takeo Matsubayashi
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Biomechanics
Subjects:
motion analysis
convolutional neural network
transfer learning
key point detection
few-shot learning
Online Access:https://www.mdpi.com/2673-7078/5/2/25
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