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Sensors 2017, 17(9), 1936; https://doi.org/10.3390/s17091936

A Biological Signal-Based Stress Monitoring Framework for Children Using Wearable Devices

1
Department of Industrial and Management Engineering, Kyonggi University, Suwon 16227, Korea
2
Department of Industrial and Management Engineering, Incheon National University, Incheon 22012, Korea
3
Department of Library and Information science, Incheon National University, Incheon 22012, Korea
*
Authors to whom correspondence should be addressed.
Received: 5 June 2017 / Revised: 8 August 2017 / Accepted: 9 August 2017 / Published: 23 August 2017
(This article belongs to the Special Issue Wearable and Ambient Sensors for Healthcare and Wellness Applications)
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Abstract

The safety of children has always been an important issue, and several studies have been conducted to determine the stress state of a child to ensure the safety. Audio signals and biological signals including heart rate are known to be effective for stress state detection. However, collecting those data requires specialized equipment, which is not appropriate for the constant monitoring of children, and advanced data analysis is required for accurate detection. In this regard, we propose a stress state detection framework which utilizes both audio signal and heart rate collected from wearable devices, and adopted machine learning methods for the detection. Experiments using real-world data were conducted to compare detection performances across various machine learning methods and noise levels of audio signal. Adopting the proposed framework in the real-world will contribute to the enhancement of child safety. View Full-Text
Keywords: child stress monitoring; wearable device; audio signal; heart rate; biological signal; machine learning child stress monitoring; wearable device; audio signal; heart rate; biological signal; machine learning
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Choi, Y.; Jeon, Y.-M.; Wang, L.; Kim, K. A Biological Signal-Based Stress Monitoring Framework for Children Using Wearable Devices. Sensors 2017, 17, 1936.

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