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Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
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Original
Published: 2023-12-04
DOI: https://doi.org/10.56294/dm2023136

Posture Recognition in Bharathanatyam Images using 2D-CNN

By
M. Kalaimani ,
M. Kalaimani

Department of Computer Science & Engineering, Annamalai University, Annamalai Nagar, Chidambaram, India

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AN. Sigappi ,
AN. Sigappi

Department of Computer Science & Engineering, Annamalai University, Annamalai Nagar, Chidambaram, India

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Abstract

The postures are important for conveying emotions, expressing artistic intent, and preserving appropriate technique. Posture recognition in dance is essential for several reasons, as it improving the performance and overall artistic expression of the dancer. The Samapadam, Aramandi, and Muzhumandi are three postures that serve as the foundation for the Bharathanatyam dance style. This work proposes a model designed to recognize the posture portrayed by the dancer. The proposed methodology employs the pre-trained 2D-CNN model fine-tuned using the Bharathanatyam dance image dataset and evaluates the model performance.

Keywords:

Bharathanatyam Postures,
2D-CNN,
Evaluation metrics,

How to Cite

1.
Kalaimani M, Sigappi A. Posture Recognition in Bharathanatyam Images using 2D-CNN. Data and Metadata [Internet]. 2023 Dec. 4 [cited 2024 Jul. 3];2:136. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/136

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The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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Vol. 2 (2023)
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