Review of the methods of classification of yoga exercises implemented by machine learning and neural networks

Публікація:
Review of the methods of classification of yoga exercises implemented by machine learning and neural networks

dc.contributor.author	Podshyvalova, O.
dc.date.accessioned	2025-09-30T07:05:20Z
dc.date.available	2025-09-30T07:05:20Z
dc.date.issued	2025
dc.description.abstract	Classification methods based on machine learning are common in human pose classification tasks, since they have several advantages, among which are efficient work with large volumes of data of different types (in particular, photo and video data) and, on this basis, building models with high classification efficiency
dc.identifier.citation	Podshyvalova O. Review of the methods of classification of yoga exercises implemented by machine learning and neural networks / O. Podshyvalova // Technologies, theories and developments: modern scientific teaching : Proceedings of the IV International Scientific and Practical Conference, September 23–26, 2025. - Valencia, Spain : International Science Group, 2025. - pp. 19-22.
dc.identifier.isbn	979-8-89814-218-6
dc.identifier.uri	https://openarchive.nure.ua/handle/document/32835
dc.language.iso	en_US
dc.publisher	International Science Group
dc.title	Review of the methods of classification of yoga exercises implemented by machine learning and neural networks
dc.type	Thesis
dspace.entity.type	Publication