Year: 2025
Type: article
Abstract: In computer vision, human pose tracking is an application in human-computer interaction, sports analysis, and healthcare. It explores the application of Google’s MoveNet, a light weight stateof-the-art CNN model for real time human pose estimation in images and videos streams. MoveNet detects the multiple keypoints in the human body efficiently and enables the posture and movement analysis. It demonstrates the model’s ability to identify and track the key body joints effectively and highlighting its potential in applications like fitness tracking, human-computer interaction and activity recognition.
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409460380