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

Three Developmental Domains

Three Developmental Domains

Human development is typically examined across three main domains: physical, cognitive, and socio-emotional. These domains represent the significant areas of change and continuity throughout the lifespan, from infancy to late adulthood.
Physical Development
Physical processes, also known as maturation, encompass the biological changes that occur across an individual's life. These changes begin with genetic inheritance and continue through various stages, including growth in height and weight,...

You might also read

Related Articles

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

Sort by

Same author

Relationships between sequential MRI in the neonatal period and early motor repertoire in very preterm infants.

Early human development·2026

Same author

Feasibility of the Baby Moves app for remote General Movements Assessment: a prospective observational cohort study in an Italian infant population.

BMJ paediatrics open·2026

Same author

Feasibility and preliminary efficacy of an infant preemptive intervention for prodromes of autism spectrum disorder (ASD) delivered within an Italian tertiary hospital.

Frontiers in child and adolescent psychiatry·2026

Same author

Evaluating interactive 2D visualization as a sample selection strategy for biomedical time-series data annotation.

Computers in biology and medicine·2026

Same author

Comparative Diagnostic Performance of Early and Term MRI in Preterm Infants: a Diagnostic Test Accuracy Systematic review and Bayesian Meta-analysis.

Neonatology·2026

Same author

Beyond "low tone". What do the General Movements Assessment and Motor Optimality Score tell us about infants with developmental central hypotonia? A scoping review.

Early human development·2026

Search research articles

Related Experiment Video

Updated: Jun 28, 2026

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

Published on: June 1, 2015

Learning Developmental Age From 3D Infant Kinetics Using Adaptive Graph Neural Networks.

Daniel Holmberg, Manu Airaksinen, Viviana Marchi

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society

|May 8, 2025

Summary

This summary is machine-generated.

This study introduces Kinetic Age (KA), a new data-driven method for assessing infant neurodevelopment using movement patterns. KA objectively quantifies motor development, aiding early detection of potential issues.

More Related Videos

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

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: Jun 28, 2026

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

Published on: June 1, 2015

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

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:

Developmental Pediatrics
Computational Neuroscience
Biomedical Engineering

Background:

Early neurodevelopmental assessment is crucial for timely intervention.
Current methods for assessing infant motor development are often subjective and qualitative.
Spontaneous motor activity (kinetics) is a key indicator of neurodevelopmental progress.

Purpose of the Study:

To introduce Kinetic Age (KA), a novel data-driven metric for quantifying infant neurodevelopmental maturity.
To provide an interpretable and generalizable proxy for motor development using movement patterns.
To develop an objective and reliable method for assessing infant neurodevelopment.

Main Methods:

Utilized 3D video recordings of infants to capture movement patterns.
Employed pose estimation to extract spatio-temporal series of anatomical landmarks.
Modeled movement data using adaptive graph convolutional networks (AAGCNs) to analyze temporal dependencies.

Main Results:

Developed Kinetic Age (KA), a metric predicting infant age from movement patterns.
Achieved improved performance over traditional machine learning baselines.
Released an openly available dataset of infant movement data.

Conclusions:

Kinetic Age (KA) offers a data-driven, objective approach to neurodevelopmental assessment in infants.
The AAGCN model effectively captures complex spatio-temporal dynamics in infant movements.
This method holds promise for improving early detection and intervention in pediatric neurodevelopment.