EgoActive: Integrated Wireless Wearable Sensors for Capturing Infant Egocentric Auditory–Visual Statistics and Autonomic Nervous System Function ‘in the Wild’
Elena Geangu,
William A. P. Smith,
Harry T. Mason,
Astrid Priscilla Martinez-Cedillo,
David Hunter,
Marina I. Knight,
Haipeng Liang,
Maria del Carmen Garcia de Soria Bazan,
Zion Tsz Ho Tse,
Thomas Rowland,
Dom Corpuz,
Josh Hunter,
Nishant Singh,
Quoc C. Vuong,
Mona Ragab Sayed Abdelgayed,
David R. Mullineaux,
Stephen Smith,
Bruce R. Muller
Affiliations
Elena Geangu
Psychology Department, University of York, York YO10 5DD, UK
William A. P. Smith
Department of Computer Science, University of York, York YO10 5DD, UK
Harry T. Mason
School of Physics, Engineering and Technology, University of York, York YO10 5DD, UK
Astrid Priscilla Martinez-Cedillo
Psychology Department, University of York, York YO10 5DD, UK
David Hunter
School of Physics, Engineering and Technology, University of York, York YO10 5DD, UK
Marina I. Knight
Department of Mathematics, University of York, York YO10 5DD, UK
Haipeng Liang
School of Engineering and Materials Science, Queen Mary University of London, London E1 2AT, UK
Maria del Carmen Garcia de Soria Bazan
Psychology Department, University of York, York YO10 5DD, UK
Zion Tsz Ho Tse
School of Engineering and Materials Science, Queen Mary University of London, London E1 2AT, UK
Thomas Rowland
Protolabs, Halesfield 8, Telford TF7 4QN, UK
Dom Corpuz
Protolabs, Halesfield 8, Telford TF7 4QN, UK
Josh Hunter
Department of Computer Science, University of York, York YO10 5DD, UK
Nishant Singh
School of Physics, Engineering and Technology, University of York, York YO10 5DD, UK
Quoc C. Vuong
Biosciences Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
Mona Ragab Sayed Abdelgayed
Department of Computer Science, University of York, York YO10 5DD, UK
David R. Mullineaux
Department of Mathematics, University of York, York YO10 5DD, UK
Stephen Smith
School of Physics, Engineering and Technology, University of York, York YO10 5DD, UK
Bruce R. Muller
Department of Computer Science, University of York, York YO10 5DD, UK
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.