CS-TE Abstraction Framework: Ballet Teaching, Training, and Testing Station with Kinect Sensors and EEG Measurement
| dc.contributor.author | Apirath Limmanee | |
| dc.contributor.author | Sathit Pairoch | |
| dc.contributor.author | Montri Phothisonothai | |
| dc.date.accessioned | 2026-05-08T19:24:09Z | |
| dc.date.issued | 2024-7-31 | |
| dc.description.abstract | This article advocates the use of abstraction in the design of a standardized ballet learning, training, and testing station. The framework could also be applied to other types of dancing as well. On the one hand, the state-of-the-art engineering research approach focuses on mathematical models, algorithm, complexity, and efficiency of gesture recognition processes. On the other hand, our approach is top-down, where lower-level abstraction inherits the concepts from the upper-level. And the very top-level concepts are in accordance with how dancing artists really think while they generate their work of arts. | |
| dc.identifier.doi | 10.1109/icce62051.2024.10634700 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/19424 | |
| dc.subject | Human Motion and Animation | |
| dc.subject | Human Pose and Action Recognition | |
| dc.subject | Video Analysis and Summarization | |
| dc.title | CS-TE Abstraction Framework: Ballet Teaching, Training, and Testing Station with Kinect Sensors and EEG Measurement | |
| dc.type | Article |