Deep learning based approach for prediction of yoga posture using yoga asana images
One of computer science’s fastest-growing and most popular subfields is artificial intelligence (AI). The branch or subset of AI known as machine learning uses data and algorithms to provide systems the capacity to gradually learn and advance automatically. A part of machine learning is called deep...
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| creator | Sharma, Hitesh Kumar Choudhury, Tanupriya Mahapatra, Satyasundara Kumar, G. A. E. Satish Maganti, Sushanth Babu |
| description | One of computer science’s fastest-growing and most popular subfields is artificial intelligence (AI). The branch or subset of AI known as machine learning uses data and algorithms to provide systems the capacity to gradually learn and advance automatically. A part of machine learning is called deep learning. It employs those algorithms that drew their inspiration from the architecture of the human brain. Most of us have been working from home and doing yoga for our health and well-being ever since this pandemic hit. However, in doing so, we also sense the need for a teacher who can assess us. As a result, this research lays the groundwork for creating a system that can evaluate human yoga poses using deep learning and convolutional neural networks. |
| doi_str_mv | 10.1063/5.0197215 |
| format | Conference Proceeding |
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| fulltext | fulltext |
| identifier | ISSN: 0094-243X |
| ispartof | AIP conference proceedings, 2024, Vol.2942 (1) |
| issn | 0094-243X 1551-7616 |
| language | eng |
| recordid | cdi_scitation_primary_10_1063_5_0197215 |
| source | AIP Journals Complete |
| subjects | Algorithms Artificial intelligence Artificial neural networks Deep learning Machine learning |
| title | Deep learning based approach for prediction of yoga posture using yoga asana images |
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