Enhanced Pose Estimation for Badminton Players via Improved YOLOv8-Pose with Efficient Local Attention

Enhanced Pose Estimation for Badminton Players via Improved YOLOv8-Pose with Efficient Local Attention

With the rapid development of sports analytics and artificial intelligence, accurate human pose estimation in badminton is becoming increasingly important. However, challenges such as the lack of domain-specific datasets and the complexity of athletes’ movements continue to hinder progress in this a...

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Bibliographic Details
Main Authors: Yijian Wu, Zewen Chen, Hongxing Zhang, Yulin Yang, Weichao Yi
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
YOLOv8-Pose
efficient local attention
sport analytics
badminton scene
human pose estimation
Online Access:https://www.mdpi.com/1424-8220/25/14/4446
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