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Improving Machine Learning for Hearing - Impaired People’s Dance Instruction: An Emphasis on Sri Lankan Traditional Dancing Style

P.M.D.S. Amarasooriya

Lecturer, Department of Computer and Statisticts, Faculty of Science, University of Kelaniya, Sri Lanka.

Published December 1, 2023
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Abstract

For many people, dance is a natural way to express themselves, but it can present special difficulties for those who have hearing loss. Though a lot of study has been done to help the hard of hearing enjoy music, not much has been done to help them become self-sufficient dancers. This study explores the subtleties of teaching dance to people with hearing impairments, highlighting the significance of comprehending certain dance forms and their complex motions. This study presents a novel strategy to deal with these issues by utilizing machine learning technology. Using a machine learning model, the study focuses on three essential moves in Sri Lankan traditional dancing, making training easier for dancers with hearing impairments. The goal of the project is to empower and promote inclusivity by teaching people with hearing impairments a culturally rich dancing style.

Keywords

Deaf People Machine Learning Dancing Style Sri Lanka
Manuscript Received July 1, 2023
Accepted For Publication September 10, 2023
Archived Online December 1, 2023
CC BY 4.0

© 2026 Faculty of Humanities and Social Sciences, Nāgānanda International Institute for Buddhist Studies, Sri Lanka. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 license (unless stated otherwise) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Scholarly Citation

P.M.D.S. Amarasooriya (2023). "Improving Machine Learning for Hearing - Impaired People’s Dance Instruction: An Emphasis on Sri Lankan Traditional Dancing Style." NIJHSS, Vol. 6(3), pp. 14-23.

Issue Identity Vol.6 Iss.3
Article Type Research

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