EgoActive: Integrated Wireless Wearable Sensors for Capturing Infant Egocentric Auditory–Visual Statistics and Autonomic Nervous System Function ‘in the Wild’

  • E. Geangu
  • , W.A.P. Smith
  • , H.T. Mason
  • , ASTRID PRISCILLA MARTINEZ CEDILLO
  • , D. Hunter
  • , M.I. Knight
  • , H. Liang
  • , M. del Carmen Garcia de Soria Bazan
  • , Z.T.H. Tse
  • , T. Rowland
  • , D. Corpuz
  • , J. Hunter
  • , N. Singh
  • , Q.C. Vuong
  • , M.R.S. Abdelgayed
  • , D.R. Mullineaux
  • , B.R. Muller
  • , S. Smith

Research output: Contribution to journalArticle (journal)peer-review

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Abstract

There have been sustained efforts toward using naturalistic methods in developmental science to measure infant behaviors in the real world from an egocentric perspective because statistical regularities in the environment can shape and be shaped by the developing infant. However, there is no user-friendly and unobtrusive technology to densely and reliably sample life in the wild. To address this gap, we present the design, implementation and validation of the EgoActive platform, which addresses limitations of existing wearable technologies for developmental research. EgoActive records the active infants’ egocentric perspective of the world via a miniature wireless head-mounted camera concurrently with their physiological responses to this input via a lightweight, wireless ECG/acceleration sensor. We also provide software tools to facilitate data analyses. Our validation studies showed that the cameras and body sensors performed well. Families also reported that the platform was comfortable, easy to use and operate, and did not interfere with daily activities. The synchronized multimodal data from the EgoActive platform can help tease apart complex processes that are important for child development to further our understanding of areas ranging from executive function to emotion processing and social learning.
Original languageEnglish
Article number7930
JournalSensors
Volume23
Issue number18
Early online date16 Sept 2023
DOIs
Publication statusPublished - 16 Sept 2023

Keywords

  • infant
  • child
  • wearable
  • sensors
  • egocentric view
  • head-mounted camera
  • ECG
  • body movement
  • naturalistic research
  • methods
  • real-world big data
  • multimodal measures

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