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...

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Detalles Bibliográficos
Autores principales: Yozevitch, Roi, Dahan, Anat, Seada, Talia, Appel, Daniel, Gvirts, Hila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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

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