Monitoring fatigue in construction workers using physiological measurements

Aryal, Ashrant; Ghahramani, Ali; Becerik-Gerber, Burçin

doi:10.1016/j.autcon.2017.03.003

Cited by 275 publications

(222 citation statements)

References 74 publications

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“…Relevant technologies may also serve as potential mitigation against management lapses, including (1) dependence on periodic information on site status from various nodes and the need for pre-emptive and predictive oversight of site activities and resources (Ozumba and Shakantu, 2008;Akhavian and Behzadan, 2016;, (2) poor supervisor awareness of h&S infringements and incidents which go unreported (Kelm et al, 2013;Arslan et al, 2014;Aryal et al, 2017;Fang et al, 2018), (3) poor identification of site participants in issuance of materials and equipment (Ozumba and Shakantu, 2008;Wang et al, 2014;han and golparvarfard, 2015), (4) poor security and tracking of materials movement and storage on site (Razavi et al, 2012;han and golparvar-fard, 2015) and (5) lack of real-time pervasive and comprehensive knowledge of site status (Ozumba and Shakantu, 2008;Wang et al, 2014;Omar and Nehdi, 2016). Such shortcomings seem regular on site, from the case study observations.…”

Section: Discussionmentioning

confidence: 99%

Process Need Areas and Technology Adoption in Construction Site Management

Ozumba¹,

Ojiako²,

Shakantu³

et al. 2019

JCDC

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The study explores the areas of process need in construction site management and technology utilisation to address those needs within the construction industry. An exploratory case study was used, with a focus on process need areas that could be impacted by technology infusion. Results highlight the impact of human limitations on management performance and poor utilisation of available relevant technology in the presence of managerial lapses. Inherent limitations of case study strategy were experienced in the form of number of cases and achieving uniformity of features. Nevertheless, the cases provided rich cross-validating data. The article provides empirical insights about the possibility of construction site management benefiting from increased exploitation of technology to address management shortcomings. The article highlights the need to understand individual projects in terms of site management process needs and opportunities in recent information and communication technology (ICT) to address such need areas, by linking potential utility in technology to lapses in the management process of construction sites. The study provides a baseline understanding of relevant concepts of ICT adoption in site management. While considerable interest exists regarding technology use in construction, studies explicitly contextualised within process need areas in site management and with management-centred view remain sparse.

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Section: Discussionmentioning

confidence: 99%

Process Need Areas and Technology Adoption in Construction Site Management

Ozumba¹,

Ojiako²,

Shakantu³

et al. 2019

JCDC

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“…Heart rate is the most commonly used indicator and answer many of the problems of human physiology in static and dynamic states during working time [15,24]. Based on the American Heart Association, mentioned that the normal heart rate ranges from 50 to 100 bpm but the working heart rate ranges between 90-130 bpm is recommended to support performance [2]. When someone gets on work, the heart rate can be changes.…”

Section: Heart Ratementioning

confidence: 99%

A design concept of fuzzy decision support system for construction workers safety monitoring

et al. 2019

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A construction project is very dynamic activities with high workloads and tight schedules, resulting in a fatigue condition of the workers. Due to the worker’s physical and physiological conditions that change over time, the risks may be varying from fatigue, and may become a potential danger of accidents. In a modern construction work safety should be planned, monitored, analyzed easily using a sophisticated system. As an attempt to realize the system, our research group developed a decision support system for construction worker safety monitoring based on fuzzy system approach. The design concept of the fuzzy decision support system with focus on worker performance related to prediction of fatigue and safety is discussed in this paper. The decision support system was designed based on fuzzy inference system with physiological data (heart rate, body temperature, and muscle activity) and project environment (working space temperature) models. The knowledge about of human subject condition reflected by the physiological data, environmental conditions and their relationship with working performance and safety are formulated in a linguistic inference system. The realized system demonstrates the ability to evaluate worker performance during work hour and prediction of fatigue. The realized system is useful as an early warning system for the prevention of construction workers accident and a part of our attempt to realize the modern safety management system.

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“…According to the literature, there are four main brain rhythms extracted from EEG signals, which closely relate to visual fatigue: delta, theta, alpha, and beta brain waves . Physiological signals such as skin temperature (SKT), oxygen saturation (SpO 2 ), and electrocardiogram (ECG) provide insight into ANS activities and can be considered the quantification of visual fatigue . Heart rate variability (HRV), a measure of the variation in time between each heartbeat, was extracted from ECG and testified as a good marker reflecting visual fatigue .…”

Section: Introductionmentioning

confidence: 99%

“…[13][14][15] Physiological signals such as skin temperature (SKT), oxygen saturation (SpO 2 ), and electrocardiogram (ECG) provide insight into ANS activities and can be considered the quantification of visual fatigue. [16][17][18] Heart rate variability (HRV), a measure of the variation in time between each heartbeat, was extracted from ECG and testified as a good marker reflecting visual fatigue. 16,19 Thus, the combination of a subjective questionnaire with physiological measurements may be essential for assessing visual fatigue.…”

Section: Introductionmentioning

confidence: 99%

Assessment of visual fatigue under LED tunable white light with different blue components

et al. 2020

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Light‐emitting diode (LED) light source has high intensity emission of blue components absent in the daylight spectra and regulates human physiology and behavior. The aim of this study was to explore the effects of LED tunable white light with different blue‐component intensities on visual fatigue based on human eye photoreceptors. The short (S)‐cone and melanopsin illuminance were about 212% and 82% higher for blue‐enriched white light than blue‐less white light, respectively. The photopic illuminance was same for these two lights. The results revealed that blue‐enriched LED tunable white light with higher illuminance of S cones had a significant effect on visual fatigue. Participants experienced more eye discomfort under blue‐enriched white light accompanied with decreased vision function and changes in the autonomic nervous system. Visual acuity and tear film stability declined, and heart rhythm changed more significantly under blue‐enriched white light than blue‐less white light. While memory performance did not decline with more severe visual fatigue, improved memory performance under blue‐enriched white light may be due to enhanced alertness or arousal associated with high melanopsin illuminance. Our results suggest that blue‐enriched white light with higher illuminance of S cones and melanopsin has beneficial effects on cognitive performance, but it can induce relatively more visual fatigue.

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Monitoring fatigue in construction workers using physiological measurements

Cited by 275 publications

References 74 publications

Process Need Areas and Technology Adoption in Construction Site Management

Process Need Areas and Technology Adoption in Construction Site Management

A design concept of fuzzy decision support system for construction workers safety monitoring

Assessment of visual fatigue under LED tunable white light with different blue components

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