Real-Time Recognition of Korean Traditional Dance Movements Using BlazePose and a Metadata-Enhanced Framework

Real-Time Recognition of Korean Traditional Dance Movements Using BlazePose and a Metadata-Enhanced Framework

This study presents the implementation of an AI-based prototype for recognizing Korean traditional dance movements using a metadata-enhanced dataset. The research was conducted in three stages. First, a classification framework was developed to reflect the unique characteristics of Korean traditiona...

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Bibliographic Details
Main Author: Hae Sun Kim
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
Korean traditional dance classification framework
Korean traditional dance AI
automatic dance recognition of dance movements
AI dance recognition
cultural heritage digitization
Online Access:https://www.mdpi.com/2076-3417/15/1/409
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