Sep 2026· Italian National Conference on Sensors· Vol 26, pp. 5643· 0 citations· 79 references
Medicine
TL;DR
These findings highlight the potential of non-invasive, home-based motion tracking to identify early divergences in infant motor trajectories among those with an elevated likelihood of autism.
Abstract
Background: Motor behaviour has been shown to differ in both complexity and variability between neurotypical and autistic populations. However, there is little research on the early development of specific kinematic features and their timing of emergence in early life. Methods: The current study examined the early development of kinematic features (duration, range, velocity, acceleration, entropy, and jerk) in infants with a high or low likelihood of autism using state-of-the-art automatic pose estimation models. We evaluated weekly home-recorded videos of naturalistic, spontaneous movements (controlling for clothing, background, and posture) from 60 participants (705 videos) longitudinally over the first six months of life. We automatically extracted kinematic data, including motion of the shoulders, elbows, hips, and knees. Results: Of the kinematic features examined, we found that the groups differed only in the variability of entropy, whereby the variability of entropy was lower in HL compared with LL infants across the first six months of infancy. Conclusions: These findings highlight the potential of non-invasive, home-based motion tracking to identify early divergences in infant motor trajectories among those with an elevated likelihood of autism.
PURPOSE
Autism spectrum disorder (ASD) is increasingly recognized to involve difficulties in sensorimotor control. This study aimed to evaluate whether motor variability during rhythmic circular movements could serve as a measure of movement coordination quality.
METHODS
Seventeen clinically diagnosed autistic adults...
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Highlights What are the main findings? The use of virtual reality will produce substantial kinematic data of upper limb motor performance, including reaction time, movement time, time to peak velocity and acceleration, and normalized jerk. The neural mechanisms underlying these movements, assessed via functional near-i...
Maria J. Ayoub, A. Kamalanathan, Abigail Frankenberg et al.· Brain Science· 0 citations
Infant reaching and grasping scaffold opportunities for exploration, learning, and communication, making them central to early development. Yet most prehension research relies on laboratory methods, which constrain sample sizes and the density of longitudinal follow-up. Here we used automated pose estimation (HaMeR) to...
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Human motor functions are formed as a result of a dynamic interaction between the developing nervous system and the musculoskeletal system, the transition from spontaneous fetal movements to the control of upright posture and the development of locomotion. Careful analysis of these motor patterns in early ontogenesis c...
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PURPOSE
To describe and compare acoustic-prosodic measures derived from reading aloud and spontaneous speech, analysed jointly, in older adults with and without Parkinson's disease (PD), using speech data collected through mobile phone recordings in both in-person and remote conditions.
PARTICIPANTS AND METHODS
The s...
L. Dal'Ava, P. Barbosa· Logopedics, Phoniatrics, Voc...· 0 citations
Introduction: Child development involves the interaction between individual, task, and the environment, factors that influence the acquisition of motor skills during the first year of life. Biological and environmental aspects play a crucial role, especially in postural control in seated infants, which is essential for...
Vitor Serrão, Jayanne Marques Bitencourt Carnevali, Cauana Alves Dos Santos et al.· ARACÊ· 0 citations
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