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Pose Uncertainty Aware Movement Synchrony Estimation via Spatial-Temporal Graph Transformer
Movement synchrony reflects the coordination of body movements between interacting dyads.
Dyadic Movement Synchrony Estimation Under Privacy-preserving Conditions
In general, raw video recordings are often used for movement synchrony estimation, with the drawback that they may reveal people's identities.
A Two-stage Multi-modal Affect Analysis Framework for Children with Autism Spectrum Disorder
Autism spectrum disorder (ASD) is a developmental disorder that influences the communication and social behavior of a person in a way that those in the spectrum have difficulty in perceiving other people's facial expressions, as well as presenting and communicating emotions and affect via their own faces and bodies.
Deep neural networks for collaborative learning analytics: Evaluating team collaborations using student gaze point prediction
Automatic assessment and evaluation of team performance during collaborative tasks is key to the learning analytics and computer-supported cooperative work research.
Augment Yourself: Mixed Reality Self-Augmentation Using Optical See-through Head-mounted Displays and Physical Mirrors
Consequently, most MR applications that are centered around the user, such as virtual dressing rooms or learning of body movements, cannot be realized with HMDs.
Collaboration Analysis Using Deep Learning
The analysis of the collaborative learning process is one of the growing fields of education research, which has many different analytic solutions.
