Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Autism Spectrum Disorder

Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Chaos Theory and Child Development: Quantifying Nonlinear Pathways of Growth.

Perspectives on psychological science : a journal of the Association for Psychological Science·2026

Same author

Beyond diagnosis: Why and how virtual reality should be used in research on neurodevelopmental conditions?

Neuroscience and biobehavioral reviews·2026

Same author

The development of problem solving: Integrating perception, cognition, and action in real time.

Advances in child development and behavior·2026

Same author

Getting the proper grip: A longitudinal study of how infants learn to adapt action Plans.

Journal of experimental child psychology·2026

Same author

Automatic pose estimation in newborn infants: Lessons from the Baby Grow study.

Behavior research methods·2026

Same author

Extreme Size and Irradiance Dependence in High-Resolution Vat Photopolymerization of Hydrogels.

Small methods·2026

Search research articles

Related Experiment Video

Updated: May 5, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

Towards automatic assessment of atypical early motor development?

Ori Ossmy¹, Georgina Donati², Aman Kaur³

¹Centre for Brain and Cognitive Development and School of Psychological Sciences, Birkbeck, University of London, UK.

Brain Research Bulletin

|March 20, 2025

Summary

Atypical motor development can signal neurodevelopmental conditions. Automated technologies offer objective detection but require careful integration with clinical expertise for effective pediatric care.

Keywords:

Atypical Motor Development Computer Vision Inertial Sensors Infancy Neurodevelopmental Conditions Neurodevelopmental Disorders Wearables

More Related Videos

Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System

Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System

Published on: March 17, 2023

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Published on: May 17, 2024

Related Experiment Videos

Last Updated: May 5, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System

Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System

Published on: March 17, 2023

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Published on: May 17, 2024

Area of Science:

Neurodevelopmental Pediatrics
Biomedical Engineering
Clinical Neuroscience

Background:

Atypical motor development is a key early sign for conditions like cerebral palsy and Rett Syndrome.
Motor impairments are frequently observed retrospectively in Autism Spectrum Disorder, underscoring the motor-cognitive development link.
Current clinical assessments of motor skills rely on subjective professional observation.

Purpose of the Study:

To review recent advances in automated technologies for detecting motor development issues.
To highlight the potential and challenges of integrating these technologies into clinical practice and research.
To emphasize the need for a balanced approach combining technology with clinical expertise.

Main Methods:

Review of recent scientific literature on automated motor development detection.
Analysis of technologies such as computer vision and wearable sensors.
Discussion of challenges including data quality, generalizability, interpretability, and ethics.

Main Results:

Automated technologies offer more objective and scalable methods for detecting motor impairments compared to traditional assessments.
Significant challenges remain regarding data quality, generalizability, interpretability, and ethical considerations.
Integration into clinical practice requires careful consideration and validation.

Conclusions:

Automated detection technologies hold promise for revolutionizing pediatric care for neurodevelopmental conditions.
Clinical expertise remains crucial for interpreting and applying data from automated systems.
A cautious, integrated approach is necessary to ensure effective outcomes in pediatric diagnostics and intervention.