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Journal ArticleDOI

Human Work and Status Evaluation Based on Wearable Sensors in Human Factors and Ergonomics: A Review

TLDR
A scoping review of the studies published from 2001 to 2017 that focused on wearable sensor technology and a framework to summarize the research topics is proposed, considering the gaps between current HF/E studies of wearables and the available resources.
Abstract
Humans are an important component of human-machine systems. A better understanding of the role and the status of humans can facilitate and improve the overall human-machine system performance, as well as ensure the well-being of humans. In human factors and ergonomics (HF/E), conventional methods of human performance evaluation usually require the efforts of trained personnel for data collection, data analysis, and the explanation of results. There is an emerging need for a novel and cost-efficient method of assessing human work and status in various systems. The development of wearable technologies has improved the potential for developing a smarter and automatic solution to performing relevant evaluations. In this paper, the authors conduct a scoping review of the studies published from 2001 to 2017 that focused on wearable sensor technology and propose a framework to summarize the research topics. The main steps in the framework include data collection, data processing, and system feedback. Specifically, considering the gaps between current HF/E studies of wearables and the available resources, the authors conducted a detailed review of the application of wearables in HF/E human work evaluation. The opportunities and challenges of introducing wearable sensors into HF/E evaluation are discussed.

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Citations
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Journal ArticleDOI

An intelligent healthcare monitoring framework using wearable sensors and social networking data

TL;DR: A novel healthcare monitoring framework based on the cloud environment and a big data analytics engine is proposed to precisely store and analyze healthcare data, and to improve the classification accuracy.
Journal ArticleDOI

Piezofibers to smart textiles: a review on recent advances and future outlook for wearable technology

TL;DR: The fundamentals of wearable technology and materials involved are reviewed and recent developments in fiber-based self-powered systems and sensors with the special focus on the piezoelectric poly(vinylidene fluoride) polymer and barium titanium oxide ceramic are reviewed.
Journal ArticleDOI

Recent advances of polymer-based piezoelectric composites for biomedical applications.

TL;DR: A comprehensive review of the principles, properties, and applications of organic piezoelectric biomaterials (polymers and polymer/ceramic composites) with special attention on PVDF-based polymers and their composites in sensors, drug delivery and tissue engineering is presented in this article.
References
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Journal Article

Assessment of autonomic function in human by heart rate spectral analysis

TL;DR: In this paper, the authors assessed spontaneous heart rate fluctuations by use of autonomic blocking agents and changes in posture, and found that low-frequency fluctuations (below 0.12 Hz) in the supine position are mediated entirely by the parasympathetic nervous system.
Journal ArticleDOI

Assessment of autonomic function in humans by heart rate spectral analysis

TL;DR: In this paper, the authors assessed spontaneous heart rate fluctuations by use of autonomic blocking agents and changes in posture, and found that low-frequency fluctuations (below 0.12 Hz) in the supine position are mediated entirely by the parasympathetic nervous system.
Journal ArticleDOI

A Survey on Human Activity Recognition using Wearable Sensors

TL;DR: The state of the art in HAR based on wearable sensors is surveyed and a two-level taxonomy in accordance to the learning approach and the response time is proposed.
Journal ArticleDOI

A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health.

TL;DR: A meta-analysis of recent neuroimaging studies on the relationship between heart rate variability and regional cerebral blood flow identified a number of regions, including the amygdala and ventromedial prefrontal cortex, in which significant associations across studies were found.
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