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EgoActive:用于在自然环境中捕捉婴儿自我中心视听统计数据和自主神经系统功能的集成无线可穿戴传感器

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

作者信息

Geangu Elena, Smith William A P, Mason Harry T, Martinez-Cedillo Astrid Priscilla, Hunter David, Knight Marina I, Liang Haipeng, Del Carmen Garcia de Soria Bazan Maria, Tse Zion Tsz Ho, Rowland Thomas, Corpuz Dom, Hunter Josh, Singh Nishant, Vuong Quoc C, Abdelgayed Mona Ragab Sayed, Mullineaux David R, Smith Stephen, Muller Bruce R

机构信息

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

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

出版信息

Sensors (Basel). 2023 Sep 16;23(18):7930. doi: 10.3390/s23187930.

DOI:10.3390/s23187930
PMID:37765987
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10534696/
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.

摘要

在发展科学领域,人们一直在持续努力运用自然主义方法,从以自我为中心的视角测量现实世界中的婴儿行为,因为环境中的统计规律既能塑造发育中的婴儿,也会受到婴儿的影响。然而,目前还没有一种用户友好且不引人注意的技术能够密集且可靠地对自然生活进行采样。为了填补这一空白,我们展示了EgoActive平台的设计、实施和验证过程,该平台解决了现有可穿戴技术在发展研究中的局限性。EgoActive通过一个微型无线头戴式摄像头记录活跃婴儿以自我为中心的世界视角,同时通过一个轻便的无线心电图/加速度传感器记录他们对该输入的生理反应。我们还提供了便于数据分析的软件工具。我们的验证研究表明,摄像头和身体传感器表现良好。家庭也报告称,该平台佩戴舒适、易于使用和操作,且不干扰日常活动。来自EgoActive平台的同步多模态数据有助于梳理对儿童发展至关重要的复杂过程,从而加深我们对从执行功能到情绪处理和社会学习等领域的理解。

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