The effect of real-time pose recognition on badminton learning performance

Kuo Chin Lin, Cheng Wen Ko, Hui Chun Hung, Nian Shing Chen

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Badminton is a very popular subject in Physical Education (PE). Many students enroll badminton courses in every semester which pose a tremendous teaching load to the instructors. The one-on-one guiding/feedback time provided by the instructor to each student is also greatly reduced. To overcome this challenge, some studies have tried to adopt pose recognition technique in teaching badminton. However, the lack of mobility and recognition accuracy problems hinder its applicability. To address this issue, a new pose recognition technique, OpenPose, was employed to develop a real-time pose recognition badminton teaching APP in this study. The APP was then installed on a mobile device to enhance badminton smash skill learning performance. The scores distribution of the experimental group shows majority of students achieved satisfactory performance, this implies the badminton teaching APP is helpful to all students no matter what their initial skill levels are.

Original languageEnglish
Pages (from-to)4772-4786
Number of pages15
JournalInteractive Learning Environments
Volume31
Issue number8
DOIs
StatePublished - 2023

Keywords

  • Pose recognition
  • badminton teaching
  • motor skill learning
  • physical education
  • real-time feedback

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