Movement Synchrony

Movement synchrony, the coordinated timing of movements between individuals or between individuals and robots, is a burgeoning research area focusing on understanding its role in social interaction, trust, and even clinical diagnosis. Current research employs computational models, including graph transformer networks and spatial-temporal graph convolutional neural networks, to analyze movement data and quantify synchrony, often incorporating techniques to address privacy concerns related to video data. This work has implications for improving human-robot interaction, enhancing therapeutic interventions for autism spectrum disorder, and providing objective performance analysis in sports and other fields.