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

Lookup NU author(s): Dr Quoc Vuong

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

© 2023 by the authors. 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.

Publication metadata

Author(s): Geangu E, Smith WAP, Mason HT, Martinez-Cedillo AP, Hunter D, Knight MI, Liang H, del Carmen Garcia de Soria Bazan M, Tse ZTH, Rowland T, Corpuz D, Hunter J, Singh N, Vuong QC, Abdelgayed MRS, Mullineaux DR, Smith S, Muller BR

Publication type: Article

Publication status: Published

Journal: Sensors

Year: 2023

Volume: 23

Issue: 18

Online publication date: 16/09/2023

Acceptance date: 11/09/2023

Date deposited: 18/10/2023

ISSN (electronic): 1424-8220

Publisher: MDPI

URL: https://doi.org/10.3390/s23187930

DOI: 10.3390/s23187930

Data Access Statement: All data, hardware design and software will be made available upon reasonable request sent to the corresponding author (E.G.).

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