Characteristics of physical movements are indicative of infants' neuro-motor development
and brain dysfunction. For instance, infant seizure, a clinical signal of brain dysfunction …

In recent years, marked progress has been made in wearable technology for human motion
and posture recognition in the areas of assisted training, medical health, VR/AR, etc. This …

Autism is a developmental disorder evident from infancy. Yet, its clinical identification
requires expert diagnostic training. New evidence indicates disruption to motor timing and …

Bluetooth-enabled wearables can be linked to form synchronized networks to provide
insightful and representative data that is exceptionally beneficial in healthcare applications …

We investigated whether fine motor and expressive language skills are related in the later‐
born siblings of children with autism (heightened‐risk, HR infants) who are at increased risk …

Smart technologies (wearable and mobile devices) show tremendous potential in the
detection, diagnosis, and management of Autism Spectrum Disorder (ASD) by enabling …

This paper extends previous work automatically detecting stereotypical motor movements
(SMM) in individuals on the autism spectrum. Using three-axis accelerometer data obtained …

In this chapter, we explore the use of motion tracking methodology in developmental
research. With motion tracking, also called motion capture, human movements can be …

Recent advances in wearable sensor technologies for motion capture have produced
devices, mainly based on magneto and inertial measurement units (M-IMU), that are now …

The paper reviews the entire spectrum of Artificial Intelligence (AI) in mental health and its
positive role in mental health. AI has a huge number of promises to offer mental health care …