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 Conference Papers 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/. Title A name given to the resource Yoga Posture Recognition Using Image Processing Subject The topic of the resource Classification Metrics; Edge Detection; Feature Extraction; Image Processing; SVM Description An account of the resource Yoga is an ancient Indian practice that focuses on maintaining balance through various techniques like asanas and meditation. Traditional Indian yoga involves physical postures, regulated breathing, meditation, and relaxation techniques. The practice, rooted in physical, mental, and spiritual disciplines, offers numerous benefits. In this paper, we present an approach for classifying four prominent yoga poses: Goddess Pose (Utkata Konasana), Tree Pose(Vrksasana), Dead Body Pose (Savasana), and Downward Dog Pose (Adho Mukha Svanasana) using image processing techniques. The proposed methodology leverages sophisticated feature extraction techniques that analyse the posture's shape to help capture the details of the posture like the centroid, eccentricity, convex hull, etc. The subsequent classification process employs Support Vector Machines (SVM) enabling accurate categorization based on the extracted features. This blend of traditional wisdom and modern technology offers a promising tool for automating posture recognition, benefiting yoga practitioners and instructors, and can be extended to other real-life scenarios like odd posture detection. 2024 IEEE. Creator An entity primarily responsible for making the resource Jos J.; Angitha G.; Sengar S. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/TQCEBT59414.2024.10545216" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545216</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204434374&amp;doi=10.1109%2FTQCEBT59414.2024.10545216&amp;partnerID=40&amp;md5=13bf797903d8d8799de8a6395ab4852b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204434374&amp;doi=10.1109%2fTQCEBT59414.2024.10545216&amp;partnerID=40&amp;md5=13bf797903d8d8799de8a6395ab4852b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jos J., Christ (Deemed to Be University), Department of Data Science, Pune, India; Angitha G., Christ (Deemed to Be University), Department of Data Science, Pune, India; Sengar S., Christ (Deemed to Be University), Department of Data Science, Pune, India