arXiv Machine Learning By Lara Pereira, Teresa Sousa, Miguel Castelo-Branco, Jo\~ao Ruivo Paulo

Analysis of Motor Signatures of Social Adaptation in Autism for Efficient Human-Centric Systems

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arXiv:2608. 12548v1 Announce Type: cross Abstract: Dance imitation integrates motor planning, sensorimotor integration, and social cognition, offering a sensitive framework to characterize motor behavior in autism.

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arXiv Machine Learning
Sep 15

3D Gait-Based Autism Classification Using Attention-Enhanced Deep Learning with Cross-Fold Statistical Stability Analysis

arXiv:2609.14159v1 Announce Type: cross Abstract: Autism Spectrum Disorder (ASD) is a neurodevelopmental condition whose early diagnosis remains challenging because conventional clinical assessments...

By Md Nadim Mahamood, Md Arif Shahriar, Md Parvej Sikder, Md Rasul Islam, Md Shafi Ud Doula, Md Ashraful Alam, Kamrul Hasan
arXiv Machine Learning
Sep 22

Detecting Agitation Before Behavioral Escalation in Autistic Youth Through Multimodal Wearable Sensing

The study reports that agitation—an early, subtle sign of distress—can be detected in autistic youth using multimodal wearable sensors. By fusing upper‑body movement, wrist‑worn physiological data, and vocalizations through pretrained foundation models, the authors achieved an AUC of 0.724 at the clinician‑annotated onset of agitation, with audio contributing the most signal. The approach works across 15 participants, showing that individualized agitation is detectable even before the onset and without needing a separate model per child.

By Nibraas Khan, Abigale Plunk, John Staubitz, Ingrid Shragge, Jordan Brooks, Suzanne Wright, Alec Brewer, James Dieffenderfer, Alper Bozkurt, Amy Weitlauf, Nilanjan Sarkar