ItemConference Paper

A Novel Real-Time Posture Monitoring System Using Signal Processing and Computer Vision Techniques

Title
A Novel Real-Time Posture Monitoring System Using Signal Processing and Computer Vision Techniques
Creator
Gour, Shivashish; Kavitha, Rose; Arvind, Tripti; Saravanan, K.; Jeewankar, Ankita Nathuji
Description
This paper presents a novel real-time posture monitoring system using signal processing and computer vision techniques to provide accurate feedback on body posture. By measuring key angles between the head-shoulder and shoulder-hip regions, the system identifies deviations from ideal posture. A Butterworth low-pass filter is employed to smooth the posture data, significantly reducing noise and misclassification of sudden movements as poor posture. The proposed systems novelty lies in the integration of signal processing to enhance data interpretation, ensuring that momentary shifts are filtered out, resulting in more reliable classification and feedback. The system was tested in real-world scenarios, demonstrating its ability to offer immediate, high-accuracy posture feedback. Unlike conventional systems that rely solely on raw data, our approach uses smoothed, noise-free data to provide a clearer understanding of posture, making it suitable for deployment in workplaces, home offices, and rehabilitation centers. Future work will focus on multi-joint analysis, duration-based feedback mechanisms for sustained posture deviations, and the impact of camera angle on measurement accuracy. Overall, the system provides a cost-effective and efficient solution for continuous posture monitoring, aiming to improve health and ergonomics across various settings. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
Source
Lecture Notes in Electrical Engineering;Volume;1529 LNEE;pp.64-69
Date
01-01-2026
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
Butterworth Filter; Computer Vision; Posture Monitoring; Signal Processing
Coverage
Gour S., Department of Computer Science and Engineering - BCT, Jain (Deemed-to-be) University, 45th km, NH - 209, Jakkasandra Post, Kanakapura Taluk, Ramanagara District, Karnataka, Bengaluru, 562112, India; Kavitha R., Department of Management Studies, New Horizon College of Engineering, Outer Ring Road, Marathahalli, Kadabeesanahalli, Karnataka, Bengaluru, 560103, India; Arvind T., School of Business and Management (MBA), Christ University, Hosur Main Road, Karnataka, Bengaluru, 560029, India; Saravanan K., Department of Information Science and Engineering, New Horizon College of Engineering, Outer Ring Road, KadabeesanahalliKarnataka, Marathahalli, Bengaluru, 560103, India; Jeewankar A.N., Department of Management Studies, New Horizon College of Engineering, Outer Ring Road, Marathahalli, Kadabeesanahalli, Karnataka, Bengaluru, 560103, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 18761100; ISBN: 978-981955834-6;
Format
online
Language
English
Type
Conference paper

Citation

Gour, Shivashish; Kavitha, Rose; Arvind, Tripti; Saravanan, K.; Jeewankar, Ankita Nathuji, “A Novel Real-Time Posture Monitoring System Using Signal Processing and Computer Vision Techniques,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25448.

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