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This paper introduces a program that utilizes OpenCV and MediaPipe to monitor and guide exercise posture, specifically for pull-ups, while counting repetitions through real-time image analysis. The program captures images via a webcam and identifies key landmarks on the user's body. By calculating body angles and relevant metrics, it assesses posture accuracy and provides corrective feedback when necessary. The system tracks the number of repetitions performed with correct posture and displays on-screen instructions and voice prompts to guide the user through the exercises. This program enables individuals to exercise at home, ensuring proper posture and technique without the need for a fitness trainer.

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Application for Detecting and Correcting Form for Pull Up

  • 会议论文

  • 发表日期：

    2025年

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  • Nguyen Phan Kien,
  • Vu Le Hoang,
  • Tong Quang Minh,
  • Van Thi Thu Trang,
  • Le Thi Ha Phuong,
  • Dinh Thi Nhung,
  • Nguyen Ngoc Linh,
  • Duc-Tan Tran

摘要

This paper introduces a program that utilizes OpenCV and MediaPipe to monitor and guide exercise posture, specifically for pull-ups, while counting repetitions through real-time image analysis. The program captures images via a webcam and identifies key landmarks on the user's body. By calculating body angles and relevant metrics, it assesses posture accuracy and provides corrective feedback when necessary. The system tracks the number of repetitions performed with correct posture and displays on-screen instructions and voice prompts to guide the user through the exercises. This program enables individuals to exercise at home, ensuring proper posture and technique without the need for a fitness trainer.