Construction Equipment Operator Physiological Data Assessment and Tracking

Xu, Shen; Awolusi, Ibukun; Marks, Eric

doi:10.1061/(asce)sc.1943-5576.0000329

Cited by 24 publications

(13 citation statements)

References 26 publications

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“…A few studies have evaluated the functions and applications of WSDs and how they can be used to effectively enhance worker safety and health. For instance, physiological data such as heart rate, breathing rate, body posture, etc., can be automatically tracked and analyzed using different sensors and systems to monitor workers' fatigue, identify unsafe posture in workers, and prevent fall-related injuries [10,21,24,25,29]. In environmental sensing, hazardous gases, air quality, air particles, and possibly toxic chemical leaks, and inclement atmospheric conditions can be monitored on jobsites to provide early warning signals to construction workers [17,30].…”

Section: Wsd Functions and Applications In Constructionmentioning

confidence: 99%

Wearable Sensing Devices: Towards the Development of a Personalized System for Construction Safety and Health Risk Mitigation

Nnaji

Awolusi

Park

et al. 2021

Sensors

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Wearable sensing devices (WSDs) are increasingly helping workers stay safe and healthy in several industries. However, workers, especially in the construction industry, have shown some aversion towards the use of WSDs due to their ability to capture specific information that may be considered personal and private. However, this revered information may provide some critical insight needed by management to plan and optimize worksite safety and support technology adoption in decision making. Therefore, there is a need to develop personalized WSD systems that are mutually beneficial to workers and management to ensure successful WSD integration. The present study aims to contribute to knowledge and practice by filling this critical gap using insight from 330 construction workers with experience using WSDs. The results from this study indicate that all 11 WSD functions identified through this study play a vital role in improving worker safety and health and that approximately two out of three workers are open to sharing the physiological and environmental information captured using these WSDs with their management. However, functions for detecting workers’ proximity to workplace hazards, specifically energized electrical materials, toxic gas, and fire/smoke, were the most critical functions that had mutual value to workers and management. Finally, the present study proposed and evaluated a phased personalized WSD system that should encourage successful WSD integration.

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Section: Wsd Functions and Applications In Constructionmentioning

confidence: 99%

Wearable Sensing Devices: Towards the Development of a Personalized System for Construction Safety and Health Risk Mitigation

Nnaji

Awolusi

Park

et al. 2021

Sensors

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“…Along with the biometric parameters considered in different research areas such as mining and driving, considerable attention is also given in the construction safety field (Hwang and Lee, 2017;Shen et al, 2017;Jebelli et al, 2019a;Min et al, 2012). Min et al (2012) studied the cardiovascular stress and postural stability of four inexperienced and four expert construction workers at two different height positions (1.7 m and 3.3 m) with and without safety handrails.…”

Section: Human Factors In Construction Accidentsmentioning

confidence: 99%

“…The results of this study show that removing heavy materials and installing the doors increased the heart pulses of the workers considerably. A study (Shen et al, 2017) evaluated physiological measures of the construction equipment operators. The physical and physiological factors of the two operators, such as heart rate, breathing rate, upper body posture angle and body acceleration, were monitored for four days and subsequently analyzed.…”

Section: Human Factors In Construction Accidentsmentioning

confidence: 99%

“…These studies showed that if workers cannot meet the physical and physiological standards to work in the construction sites, they could show irregular mental and unbalanced body reactions. Also, it is highlighted that rapid changes in the physiological parameters such as heart rate (HR), electrodermal activity (EDA), skin temperature (ST), blood pressure (BP), electromyogram (EMG) and ergonomic factors decrease safety performance and productivity of the workers while carrying out construction activities (Gatti et al, 2014;Hwang and Lee, 2017;Shen et al, 2017). Accordingly, researchers suggest that monitoring the real-time physiological parameters of workers can enhance the health and safety performance and help in preventing construction site accidents (Aryal et al, 2017;Jebelli et al, 2019a).…”

Section: Introductionmentioning

confidence: 99%

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Exploring the relations between the physiological factors and the likelihood of accidents on construction sites

Kazar

Çomu

2021

ECAM

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PurposeConstruction work involves high-risk activities and requires intense focus and physical exertion. Accordingly, working conditions at construction sites contribute to physical fatigue and mental stress in workers, which is the primary cause of accidents. This study aims to examine the relation between construction accidents and physiological variables, indicative of physical fatigue and mental stress.Design/methodology/approachFour different real-time physiological values of the construction workers were measured including blood sugar level (BSL), electrodermal activity (EDA), heart rate (HR) and skin temperature (ST). The data were collected from 21 different workers during the summer and winter seasons. Both seasonal and hourly correlation analyses were performed between the construction accidents and the four physiological variables gathered.FindingsThe analysis results demonstrate that BSL values of the workers are correlated inversely with construction accidents taking place before lunch break. In addition, except BSL a significant seasonal association between the physiological variables and construction accidents was found.Originality/valueIt is disclosed that variations in physiological risk factors at certain working periods pose a high risk for construction workers. Therefore, efficient work-cycle rests can be arranged to provide frequent but short breaks for workers to overcome such issues. Besides, an early warning system could be introduced to monitor the real-time physiological values of the workers.

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“…Researchers and industry practitioners have identified the application of emerging safety technologies such as wearable sensing devices (WSDs) and the Internet of things (IoT) as one of the most effective means of preventing accidents and predicting future safety performance on construction sites (Nath et al, 2017;Choi et al, 2017;Awolusi et al, 2018;Yeo et al, 2020;Nnaji et al, 2020). Advances in wearable and big data technologies provide an effective method of collecting and transforming safety and health data in real-time, which has great potential to improve safety performance by reducing illness and injury-related risks (Wu et al, 2016;Shen et al, 2017;Yeo et al, 2020). Wearable devices perform a wide range of functions including data collection from on-body sensors, preprocessing the data, temporary data storage, and data transfer to internet-connected immediate neighbors such as mobile phones or a remote server (Hiremath et al, 2015;Arias et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Decision Support Framework for Selecting Wearable Internet of Things Devices for Safety Management in Construction

Awolusi¹,

Sulbaran²

EPiC Series in Built Environment

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Construction workers are usually faced with many safety and health risks due to the hazardous nature of the construction work environment. The application of emerging safety technologies such as wearable sensing devices (WSDs) and the Internet of things (IoT) has been identified as one of the most effective means of predicting future performance and preventing these risky events. In spite of the benefits of these devices, their implementation on construction sites to protect workers and improve their safety performance is still limited. Several IoT-based wearable sensing devices are being used in other industries to monitor metrics that are similar to those that can be monitored to manage workers’ safety on construction jobsites. Hence, there is a need to develop some criteria for evaluating these devices for their applications in construction. The main purpose of this study is to develop a conceptual decision-making framework that stakeholders can use to select Wearable Internet of Things (WIoT) devices for applications in construction. The research approach involves a review of literature on WIoT devices and the development of a decision-making framework using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). This study presents an initial attempt geared toward providing stakeholders with an effective decision-making tool that can be used to select WIoT devices for implementation in the construction industry.

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Construction Equipment Operator Physiological Data Assessment and Tracking

Cited by 24 publications

References 26 publications

Wearable Sensing Devices: Towards the Development of a Personalized System for Construction Safety and Health Risk Mitigation

Wearable Sensing Devices: Towards the Development of a Personalized System for Construction Safety and Health Risk Mitigation

Exploring the relations between the physiological factors and the likelihood of accidents on construction sites

Decision Support Framework for Selecting Wearable Internet of Things Devices for Safety Management in Construction

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