The BabyView camera: Designing a new head-mounted camera to capture children’s early social and visual environments

Head-mounted cameras have been used in developmental psychology research for more than a decade to provide a rich and comprehensive view of what infants see during their everyday experiences. However, variation between these devices has limited the field’s ability to compare results across studies a...

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Published inBehavior research methods Vol. 56; no. 4; pp. 3523 - 3534
Main Authors Long, Bria, Goodin, Sarah, Kachergis, George, Marchman, Virginia A., Radwan, Samaher F., Sparks, Robert Z., Xiang, Violet, Zhuang, Chengxu, Hsu, Oliver, Newman, Brett, Yamins, Daniel L. K., Frank, Michael C.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.06.2024
Springer Nature B.V
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Online AccessGet full text
ISSN1554-3528
1554-351X
1554-3528
DOI10.3758/s13428-023-02206-1

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Abstract Head-mounted cameras have been used in developmental psychology research for more than a decade to provide a rich and comprehensive view of what infants see during their everyday experiences. However, variation between these devices has limited the field’s ability to compare results across studies and across labs. Further, the video data captured by these cameras to date has been relatively low-resolution, limiting how well machine learning algorithms can operate over these rich video data. Here, we provide a well-tested and easily constructed design for a head-mounted camera assembly—the BabyView—developed in collaboration with Daylight Design, LLC., a professional product design firm. The BabyView collects high-resolution video, accelerometer, and gyroscope data from children approximately 6–30 months of age via a GoPro camera custom mounted on a soft child-safety helmet. The BabyView also captures a large, portrait-oriented vertical field-of-view that encompasses both children’s interactions with objects and with their social partners. We detail our protocols for video data management and for handling sensitive data from home environments. We also provide customizable materials for onboarding families with the BabyView. We hope that these materials will encourage the wide adoption of the BabyView, allowing the field to collect high-resolution data that can link children’s everyday environments with their learning outcomes.
AbstractList Head-mounted cameras have been used in developmental psychology research for more than a decade to provide a rich and comprehensive view of what infants see during their everyday experiences. However, variation between these devices has limited the field's ability to compare results across studies and across labs. Further, the video data captured by these cameras to date has been relatively low-resolution, limiting how well machine learning algorithms can operate over these rich video data. Here, we provide a well-tested and easily constructed design for a head-mounted camera assembly-the BabyView-developed in collaboration with Daylight Design, LLC., a professional product design firm. The BabyView collects high-resolution video, accelerometer, and gyroscope data from children approximately 6-30 months of age via a GoPro camera custom mounted on a soft child-safety helmet. The BabyView also captures a large, portrait-oriented vertical field-of-view that encompasses both children's interactions with objects and with their social partners. We detail our protocols for video data management and for handling sensitive data from home environments. We also provide customizable materials for onboarding families with the BabyView. We hope that these materials will encourage the wide adoption of the BabyView, allowing the field to collect high-resolution data that can link children's everyday environments with their learning outcomes.Head-mounted cameras have been used in developmental psychology research for more than a decade to provide a rich and comprehensive view of what infants see during their everyday experiences. However, variation between these devices has limited the field's ability to compare results across studies and across labs. Further, the video data captured by these cameras to date has been relatively low-resolution, limiting how well machine learning algorithms can operate over these rich video data. Here, we provide a well-tested and easily constructed design for a head-mounted camera assembly-the BabyView-developed in collaboration with Daylight Design, LLC., a professional product design firm. The BabyView collects high-resolution video, accelerometer, and gyroscope data from children approximately 6-30 months of age via a GoPro camera custom mounted on a soft child-safety helmet. The BabyView also captures a large, portrait-oriented vertical field-of-view that encompasses both children's interactions with objects and with their social partners. We detail our protocols for video data management and for handling sensitive data from home environments. We also provide customizable materials for onboarding families with the BabyView. We hope that these materials will encourage the wide adoption of the BabyView, allowing the field to collect high-resolution data that can link children's everyday environments with their learning outcomes.
Head-mounted cameras have been used in developmental psychology research for more than a decade to provide a rich and comprehensive view of what infants see during their everyday experiences. However, variation between these devices has limited the field’s ability to compare results across studies and across labs. Further, the video data captured by these cameras to date has been relatively low-resolution, limiting how well machine learning algorithms can operate over these rich video data. Here, we provide a well-tested and easily constructed design for a head-mounted camera assembly—the BabyView—developed in collaboration with Daylight Design, LLC., a professional product design firm. The BabyView collects high-resolution video, accelerometer, and gyroscope data from children approximately 6–30 months of age via a GoPro camera custom mounted on a soft child-safety helmet. The BabyView also captures a large, portrait-oriented vertical field-of-view that encompasses both children’s interactions with objects and with their social partners. We detail our protocols for video data management and for handling sensitive data from home environments. We also provide customizable materials for onboarding families with the BabyView. We hope that these materials will encourage the wide adoption of the BabyView, allowing the field to collect high-resolution data that can link children’s everyday environments with their learning outcomes.
Author Xiang, Violet
Hsu, Oliver
Goodin, Sarah
Radwan, Samaher F.
Yamins, Daniel L. K.
Sparks, Robert Z.
Zhuang, Chengxu
Long, Bria
Newman, Brett
Kachergis, George
Marchman, Virginia A.
Frank, Michael C.
AuthorAffiliation 3 Department of Computer Science, Stanford University, Stanford, CA, USA
2 Daylight Design, LLC, San Francisco, CA, USA
1 Department of Psychology, Stanford University, Stanford, CA, USA
4 Graduate School of Education, Stanford University, Stanford, CA, USA
AuthorAffiliation_xml – name: 1 Department of Psychology, Stanford University, Stanford, CA, USA
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CitedBy_id crossref_primary_10_1126_sciadv_adp4422
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Snippet Head-mounted cameras have been used in developmental psychology research for more than a decade to provide a rich and comprehensive view of what infants see...
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SubjectTerms Behavioral Science and Psychology
Cameras
Child Development - physiology
Child, Preschool
Children
Cognitive Psychology
Equipment Design
Female
Head - physiology
Humans
Infant
Male
Psychology
Social Environment
Video Recording - methods
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Title The BabyView camera: Designing a new head-mounted camera to capture children’s early social and visual environments
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