Article Info

Published 13 Aug 2025

Volume / Issue 1 / Issue 4

Pages 44–54

DOI

10.64823/ijter.2504005

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Open Access Research Article

11 pages PDF

REAL-TIME HUMAN MOTION CAPTURE USING WEARABLE SENSORS

by , , , ,

International Journal of Technology and Emerging Research 2025 , 1 (4) , 44–54

10.64823/ijter.2504005

Received: 04 Aug 2025 Published: 13 Aug 2025

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Cite this article

APA

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 and Emerging Research, 1(4): 44–54. https://doi.org/10.64823/ijter.2504005

MLA

Dr. M. Rajeshwari, et al. "REAL-TIME HUMAN MOTION CAPTURE USING WEARABLE SENSORS." International Journal of Technology and Emerging Research, vol. 1, no. 4, 2025, pp. 44–54. https://doi.org/10.64823/ijter.2504005

Chicago

Dr. M. Rajeshwari, Abhishek S, Anil Kumar S, Dev S Shah, Vijay Kumar. "REAL-TIME HUMAN MOTION CAPTURE USING WEARABLE SENSORS." International Journal of Technology and Emerging Research 1, no. 4 (2025): 44–54. https://doi.org/10.64823/ijter.2504005

BibTeX

@article{Dr. M. Rajeshwari2025real-time, 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 and Emerging Research}, year = {2025}, volume = {1}, number = {4}, pages = {44–54}, doi = {10.64823/ijter.2504005}, }

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.

© 2025 The Author(s). Published by IORO Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original author and source are credited, a link to the license is provided, and any changes are indicated.