REAL-TIME HUMAN MOTION CAPTURE USING WEARABLE SENSORS
Keywords
Abstract
Real-Time Human Motion Capture using wearable sensors has emerged as a promising technology in various fields, such as sports analysis, rehabilitation, and virtual reality. This work presents a novel approach to capturing human motion in real-time using lightweight and unobtrusive wearable sensors. By employing sensor fusion techniques and advanced algorithms, the system accurately tracks and reconstructs the movements of individuals, providing detailed information about joint angles, velocities, and trajectories. The real-time aspect of the system enables instantaneous feedback, making it ideal for applications requiring immediate analysis or interaction. The proposed method demonstrates high accuracy and reliability, paving the way for widespread adoption of wearable sensor-based motion.
Copyright & License
Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this Article
Dr. M. Rajeshwari, Abhishek S, Anil Kumar S, Dev S Shah, Vijay Kumar (2025). REAL-TIME HUMAN MOTION CAPTURE USING WEARABLE SENSORS. International Journal of Technology & Emerging Research (IJTER), 1(4), 44-54
BibTeX
@article{ijter2025212508040974,
author = {Dr. M. Rajeshwari and Abhishek S and Anil Kumar S and Dev S Shah and Vijay Kumar},
title = {REAL-TIME HUMAN MOTION CAPTURE USING WEARABLE SENSORS},
journal = {International Journal of Technology & Emerging Research },
year = {2025},
volume = {1},
number = {4},
pages = {44-54},
issn = {3068-109X},
url = {https://www.ijter.org/article/212508040974/real-time-human-motion-capture-using-wearable-sensors},
abstract = {Real-Time Human Motion Capture using wearable sensors has emerged as a promising technology in various fields, such as sports analysis, rehabilitation, and virtual reality. This work presents a novel approach to capturing human motion in real-time using lightweight and unobtrusive wearable sensors. By employing sensor fusion techniques and advanced algorithms, the system accurately tracks and reconstructs the movements of individuals, providing detailed information about joint angles, velocities, and trajectories. The real-time aspect of the system enables instantaneous feedback, making it ideal for applications requiring immediate analysis or interaction. The proposed method demonstrates high accuracy and reliability, paving the way for widespread adoption of wearable sensor-based motion. },
keywords = {Wearable Sensors, Sensor Fusion Techniques, Motion Tracking, Motion Reconstruction, Real-Time sports analysis. },
month = {Aug},
}