ArticleOpen mind : discoveries in cognitive science2021
SAYCam: A Large, Longitudinal Audiovisual Dataset Recorded From the Infant's Perspective.
Article in Open mind : discoveries in cognitive science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
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Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- From data to discovery: Technology propels speech-language research and theory-building in developmental science.Neuroscience and biobehavioral reviews · 2025Pooled it
- 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
- Making Machine Learning Accessible for Developmental Science: The Case of Automated Face Detection.Developmental science · 2026Article
- ChildLens: An egocentric video dataset for activity analysis in children.Behavior research methods · 2026Article
- Rethinking category-selectivity in human visual cortex.Cognitive neuroscience · 2026Review
- Non-Linear Changes in Face Availability During Naturalistic Playtime Across the First Years: Insights From Head-Mounted Cameras and Automated Face Detection.Developmental science · 2026Article
- On the Robustness of Modeling Grounded Word Learning Through a Child's Egocentric Input.Open mind : discoveries in cognitive science · 2026Article
- The Shared Book Reading Corpus: An audiovisual collection of 44 multimodal caregiver-infant interactions.Scientific data · 2025Article
- A feedforward mechanism for human-like contour integration.PLoS computational biology · 2025Article
- Fast and robust visual object recognition in young children.Science advances · 2025Article
- An automatic sustained attention prediction (ASAP) method for infants and toddlers using wearable device signals.Scientific reports · 2025Article
- Estimating the distribution of numerosity and non-numerical visual magnitudes in natural scenes using computer vision.Psychological research · 2024Article
- Development of Higher-Level Vision: A Network Perspective.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Review
- Contrastive learning explains the emergence and function of visual category-selective regions.Science advances · 2024Article
- When is a word in good company for learning?Developmental science · 2024Article
- Infant-directed communication: Examining the many dimensions of everyday caregiver-infant interactions.Developmental science · 2024Article
- Consistency and variability in multimodal parent-child social interaction: An at-home study using head-mounted eye trackers.Developmental psychology · 2024Article
- Using games to understand the mind.Nature human behaviour · 2024Review
- The BabyView camera: Designing a new head-mounted camera to capture children's early social and visual environments.Behavior research methods · 2024Article
- Word Repetition and Isolation are Intertwined in Children's Early Language Experiences.Open mind : discoveries in cognitive science · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We introduce a new resource: the SAYCam corpus. Infants aged 6-32 months wore a head-mounted camera for approximately 2 hr per week, over the course of approximately two-and-a-half years. The result is a large, naturalistic, longitudinal dataset of infant- and child-perspective videos. Over 200,000 words of naturalistic speech have already been transcribed. Similarly, the dataset is searchable using a number of criteria (e.g., age of participant, location, setting, objects present). The resulting dataset will be of broad use to psychologists, linguists, and computer scientists.
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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.