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Classifying interpersonal synchronization states using a data-driven approach: implications for social interaction understanding
This study presents a data-driven approach to identifying interpersonal motor synchrony states by analyzing hand movements captured from a 3D depth camera. Utilizing a single frame from the experiment, an XGBoost machine learning model was employed to differentiate between spontaneous and intentiona...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333224/ https://www.ncbi.nlm.nih.gov/pubmed/37429957 http://dx.doi.org/10.1038/s41598-023-37316-5 |