Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Gour, Shivashish; Kavitha, Rose; Arvind, Tripti; Saravanan, K.; Jeewankar, Ankita Nathuji Title A name given to the resource A Novel Real-Time Posture Monitoring System Using Signal Processing and Computer Vision Techniques Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering;Volume;1529 LNEE;pp.64-69 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-95-5835-3_11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-95-5835-3_11</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105039435941?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039435941?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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 Description An account of the resource 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. Subject The topic of the resource Butterworth Filter; Computer Vision; Posture Monitoring; Signal Processing Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 18761100; ISBN: 978-981955834-6; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online