ArticleBehavior research methods2024
Long-form recording of infant body position in the home using wearable inertial sensors.
Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Gross motor performance of infants with an at-home wearable measurement and the Alberta Infant Motor Scale: A concurrent validity study.Developmental medicine and child neurology · 2026Observational
- Quantifying infants' everyday restrained experiences in the home using wearable inertial sensors.Behavior research methods · 2026Article
- Characterizing infant leg movements using 72-h wearable sensor data: Descriptive analysis from a large, heterogenous sample of infants 0-2 months of age from the HEALthy Brain and Child Development Study.Infant behavior & development · 2026Article
- Body position classification using wearable sensors in infants with cerebral palsy.Infant behavior & development · 2026Article
- Theoretical and Methodological Insights From Five Transcribed and Annotated Daylong Audio Recordings of Young Children's Language Environments.Perspectives on psychological science : a journal of the Association for Psychological Science · 2026Article
- Everyday positioning experience in typically developing infants and infants with or at risk for cerebral palsy.Research in developmental disabilities · 2026Article
- Thinking Critically About Algorithms for Automated Detection of Behavior: 11 Guidelines for Social and Behavioral Scientists.Developmental science · 2026Article
- Physiology of everyday sleep and physical activity: An exploratory mixed-methods study of multi-sensor wearables for infants and toddlers.Behavior research methods · 2026Article
- Machine Learning Methods in Posture-Related Applications in Children up to 12 Years Old: A Systematic Review.Bioengineering (Basel, Switzerland) · 2025Review
- Frequency-Dependent Amplification of Head Motion in Infant Rockers: A Segmental IMU-Based Signal Analysis.Journal of clinical medicine · 2025Article
- Trade-Offs Between Simplifying Inertial Measurement Unit-Based Movement Recordings and the Attainability of Different Levels of Analyses: Systematic Assessment of Method Variations.JMIR mHealth and uHealth · 2025Article
- Sitting and caregiver speech input in typically developing infants and infants with cerebral palsy.PloS one · 2025Article
- Identifying Infant Body Position from Inertial Sensors with Machine Learning: Which Parameters Matter?Sensors (Basel, Switzerland) · 2024Article
- Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations.Sensors (Basel, Switzerland) · 2024Article
- An update of the development of motor behavior.Wiley interdisciplinary reviews. Cognitive scienceReview
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Long-form audio recordings have had a transformational effect on the study of infant language acquisition by using mobile, unobtrusive devices to gather full-day, real-time data that can be automatically scored. How can we produce similar data in service of measuring infants' everyday motor behaviors, such as body position? The aim of the current study was to validate long-form recordings of infant position (supine, prone, sitting, upright, held by caregiver) based on machine learning classification of data from inertial sensors worn on infants' ankles and thighs. Using over 100 h of video recordings synchronized with inertial sensor data from infants in their homes, we demonstrate that body position classifications are sufficiently accurate to measure infant behavior. Moreover, classification remained accurate when predicting behavior later in the session when infants and caregivers were unsupervised and went about their normal activities, showing that the method can handle the challenge of measuring unconstrained, natural activity. Next, we show that the inertial sensing method has convergent validity by replicating age differences in body position found using other methods with full-day data captured from inertial sensors. We end the paper with a discussion of the novel opportunities that long-form motor recordings afford for understanding infant learning and development.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.