ArticleProceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies2019
Automated Detection of Infant Holding Using Wearable Sensing: Implications for Developmental Science And Intervention.
Article in Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Quantifying infants' everyday restrained experiences in the home using wearable inertial sensors.Behavior research methods · 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
- Thinking Critically About Algorithms for Automated Detection of Behavior: 11 Guidelines for Social and Behavioral Scientists.Developmental science · 2026Article
- Intelligence Sparse Sensor Network for Automatic Early Evaluation of General Movements in Infants.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Automatic assessment of infant carrying and holding using at-home wearable recordings.Scientific reports · 2024Article
- Article
- Oxytocin but not naturally occurring variation in caregiver touch associates with infant social orienting.Developmental psychobiology · 2022Article
- INFANT CRYING DETECTION IN REAL-WORLD ENVIRONMENTS.Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference) · 2022Article
- Ten lessons about infants' everyday experiences.Current directions in psychological science · 2022Article
- Sensing everyday activity: Parent perceptions and feasibility.Infant behavior & development · 2021Article
- A Contactless Method for Measuring Full-Day, Naturalistic Motor Behavior Using Wearable Inertial Sensors.Frontiers in psychology · 2021Article
- A survey on the attitudes of parents with young children on in-home monitoring technologies and study designs for infant research.PloS one · 2021Article
- Unsupervised End-to-End Deep Model for Newborn and Infant Activity Recognition.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Physical contact is critical for children's physical and emotional growth and well-being. Previous studies of physical contact are limited to relatively short periods of direct observation and self-report methods. These methods limit researchers' understanding of the natural variation in physical contact across families, and its specific impacts on child development. In this study we develop a mobile sensing platform that can provide objective, unobtrusive, and continuous measurements of physical contact in naturalistic home interactions. Using commercially available motion detectors, our model reaches an accuracy of 0.870 (std: 0.059) for a second-by-second binary classification of holding. In addition, we detail five assessment scenarios applicable to the development of activity recognition models for social science research, where required accuracy may vary as a function of the intended use. Finally, we propose a grand vision for leveraging mobile sensors to access high-density markers of multiple determinants of early parent-child interactions, with implications for basic science and intervention.
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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.