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

Author:

Geangu Elena1,Smith William A. P.2,Mason Harry T.3ORCID,Martinez-Cedillo Astrid Priscilla1ORCID,Hunter David3,Knight Marina I.4ORCID,Liang Haipeng5ORCID,del Carmen Garcia de Soria Bazan Maria1,Tse Zion Tsz Ho5,Rowland Thomas6,Corpuz Dom6,Hunter Josh2ORCID,Singh Nishant3,Vuong Quoc C.7,Abdelgayed Mona Ragab Sayed2,Mullineaux David R.4,Smith Stephen3,Muller Bruce R.2ORCID

Affiliation:

1. Psychology Department, University of York, York YO10 5DD, UK

2. Department of Computer Science, University of York, York YO10 5DD, UK

3. School of Physics, Engineering and Technology, University of York, York YO10 5DD, UK

4. Department of Mathematics, University of York, York YO10 5DD, UK

5. School of Engineering and Materials Science, Queen Mary University of London, London E1 2AT, UK

6. Protolabs, Halesfield 8, Telford TF7 4QN, UK

7. Biosciences Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, UK

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.

Funder

Wellcome Leap

1 kD Program

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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