EgoActive: Integrated wireless wearable sensors for capturing infant egocentric auditory-visual statistics and autonomic nervous system function ‘in the wild’

Elena Geangu, William Alfred Peter Smith, Harry Thomas Mason, Astrid Priscilla Martinez-Cedillo, David Hunter, Marina Iuliana Knight, Haipeng Liang, Maria Del Carmen Garcia De Soria Bazan, Zion Tsz Ho Tse, Thomas Rowland, Dom Corpuz, Josh Hunter, Nishant Singh, Quoc Vuong, Mona Ragab Sayed Abdelgayed, David Ross Mullineaux, Stephen Leslie Smith, Bruce Muller

Research output: Contribution to journalArticlepeer-review


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 multi-modal 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
Number of pages47
Issue number18
Publication statusPublished - 16 Sept 2023

Bibliographical note

© 2023 by the authors


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

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