Hand Gesture Recognition in Classical Indian Performing Arts Using Image Processing Techniques

Download This Paper Open PDF in Browser Add Paper to My Library Share: Permalink Using these links will ensure access to this page indefinitely Copy URL Hand Gesture Recognition in Classical Indian Performing Arts Using Image Processing Techniques 22 Pages Posted: 16 Jul 2022 See all articles by Niveditha ParthasarathyNiveditha ParthasarathyAnna UniversityYogesh PalanichamyAnna University Abstract Hand gesture recognition plays a vital role in many applications in this Information and Communication Technology (ICT) era. Despite being a widely explored area, only a few research works are available specific to mudra recognition that indicates symbolic hand gestures of Bharathanatyam, an Indian classical dance. The present pandemic situation has made this work very relevant. This attempts to aid the transition to digital learning in the area of performing arts. This poses a lot of challenges as no public datasets are available specific to this study which makes the prospective research a pioneering work in this field that is significantly utilitarian. The research work presented in this paper has used a Gaussian filter for noise removal, canny edge detection for boundary identification, a novel combination of statistical geometrical features with Histogram Oriented Gradient (HOG), and Speeded up Robust Features (SURF) for feature extraction. This system with K-Nearest Neighbours (KNN) for classifying the mudras, has achieved an accuracy of 82.67% that outperforms popular classic Machine learning classifiers considering the dynamic nature of the data set in contrast to existing static sets. Moreover, the framework proposed in this paper is flexible enough to apply different combinations of image processing. Keywords: Mudra, bharathanatyam, digital learning, Feature Extraction, classification Suggested Citation: Suggested Citation Parthasarathy, Niveditha and Palanichamy, Yogesh, Hand Gesture Recognition in Classical Indian Performing Arts Using Image Processing Techniques. Available at SSRN: https://ssrn.com/abstract=4161335 Niveditha Parthasarathy (Contact Author) Anna University ( email ) Yogesh Palanichamy Anna University ( email ) Download This Paper Open PDF in Browser Do you have a job opening that you would like to promote on SSRN? Place Job Opening Paper statistics Downloads 1 Abstract Views 3 PlumX Metrics Related eJournals Machine Learning eJournal Follow Machine Learning eJournal Subscribe to this fee journal for more curated articles on this topic FOLLOWERS 389 PAPERS 4,601 Feedback Feedback to SSRN Feedback (required) Email (required) Submit If you need immediate assistance, call 877-SSRNHelp (877 777 6435) in the United States, or +1 212 448 2500 outside of the United States, 8:30AM to 6:00PM U.S. Eastern, Monday - Friday. Submit a Paper Section 508 Text Only Pages SSRN Quick Links SSRN Solutions Research Paper Series Conference Papers Partners in Publishing Jobs & Announcements Newsletter Sign Up SSRN Rankings Top Papers Top Authors Top Organizations About SSRN SSRN Objectives Network Directors Presidential Letter Announcements Contact us FAQs Copyright Terms and Conditions Privacy Policy We use cookies to help provide and enhance our service and tailor content. To learn more, visit Cookie Settings. This page was processed by aws-apollo5 in 0.203 seconds