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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| Main Author: | Hae Sun Kim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/1/409 |
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