Evaluating the effectiveness of strategies for mitigating fatigue among construction workers in Abuja, Nigeria: a quantitative analysis.

Fatigue is one of the menaces that contribute to the rising number of construction-related accidents and fatalities in projects. Therefore, the purpose of this study is to identify several strategies that can be adopted to mitigate fatigue in construction projects. This was achieved through a quantitative study. A questionnaire was the main instrument for data collection in the quantitative study. The study revealed that frustration/depression or work pressure is one of the significant causes of fatigue in construction projects. Fatigue risk management education and bonding among workers are some of the underlying strategies that can be used to mitigate the identified causes. Depending on the nature of the fatigue causative elements, the study further established that some mitigation strategies are more effective than others. Therefore, further studies should be conducted by prospective researchers on a range of attributes that may influence the success of fatigue mitigation strategies in construction projects.

A Bayesian network model integrating organizational, individual and psychological factors for strengthening construction worker safety behavior.

Objectives. Construction worker safety behavior (CWSB) may be affected by a confluence of multilevel and interrelated factors. Cultivating and maintaining CWSB is vital for improving construction safety. Current studies focus on organization-level or individual-level CWSB antecedents. However, few studies have examined the influence of psychological factors on CWSB, thereby reducing the joint effects of multilevel factors on CWSB. Methods. To determine effective strategies for strengthening CWSB, this study adopted the Bayesian network technique to explore the interrelationships between CWSB and its antecedent factors. A Bayesian belief network model was developed and trained with data collected from Chinese construction workers, which connected organizational, individual and psychological factors with CWSB. Results. According to the sensitivity analysis, safety knowledge, safety climate and psychological capital are the three most significant influencing factors for CWSB. A combined strategy that enhances safety knowledge, safety climate and communication competence simultaneously is the most effective option for strengthening CWSB. The validation and robustness of the network showed good accuracy for safety behavior judgment. Conclusion. This study proposes an alternative way to improve safety behavior by identifying its interactive causes and illustrates the importance of initiating systematic safety measures, which may help to mitigate the problem of safety plateau.

Multidimensional analysis of supervisors' safety leadership on safety violations of construction workers: An empirical investigation.

BACKGROUND: Frontline supervisors have the most frequent interactions with workers on construction projects. Although Supervisors' Safety Leadership (SSL) is commonly practiced, its specific inter-relationship with workers' safety violations remains unclear, especially when it comes to detailed interactions between supervisors and workers, such as supervisors' safety coaching/safety controlling/safety caring against workers' situational/routine safety violations. OBJECTIVE: This study aims to uncover the intrinsic relationship between SSL and safety violations from the perspective of construction workers with the help of mediating variables at both organizational and individual levels. METHODS: A questionnaire survey was conducted to test all hypotheses based on empirical data from 346 construction workers. The path coefficient of the fitted model was then analyzed, including associated mediating effects. RESULTS: Situational safety violations are directly affected only by safety caring (ß= -0.161, p < 0.05), while routine safety violations are impacted only by safety coaching (ß= -0.159, p < 0.05). SSL can influence different types of safety violations through differing mediators. In particular, safety coaching acts on individuals' routine safety violations mainly through self-efficacy (ß= 0.199, p < 0.01; standardized indirect effect = -0.121, 95% CI[-0.226, -0.024]); safety controlling is more oriented to influence individuals' situational safety violations through group safety norm (ß= 0.383, p < 0.001; standardized indirect effect = -0.091, 95% CI[-0.177, -0.036]); and safety caring further influences individuals' situational safety violations mainly through safety motivation (ß= 0.581, p < 0.001; standardized indirect effect = -0.263, 95% CI[-0.418, -0.146]). CONCLUSION: The research enhances existing knowledge by clarifying the complex relationships between supervisor behavior and safety outcomes, particularly from the perceptions of construction workers towards supervisors' actions and leadership.

Dental caries, oral hygiene status and deleterious habits among migrant construction workers of Belagavi, India.

Background: Occupation significantly influences oral health, with factors like the work environment, stress levels, access to dental care, and job-related habits playing crucial roles. The oral health of construction workers, especially migrant workers, is a noteworthy concern. Understanding the oral health of this population is crucial for enhancing their quality of life through various means. This study aimed to investigate the prevalence of dental caries, oral hygiene status, and deleterious habits in this occupational group of Belagavi district, Karnataka. Materials and methods: Study design was cross-sectional in nature. Before commencement of the study a pilot study was conducted. Multi-stage random sampling technique was employed, and 610 participants were recruited for the study. Trained and calibrated examiners recorded WHO dentition status and treatment needs (2013) and Oral Hygiene Index Simplified (OHI-S). Collected data was analyzed using descriptive analysis, chi-square, one-way ANOVA, and multiple linear regression analysis. Results: The prevalence of dental caries among construction workers was significantly high (81%), and poor oral hygiene was observed among 36.9% of them. The prevalence of smoking, the tobacco chewing habit, and alcohol consumption among the construction workers was found to be 21.6%, 59.9%, and 37.3%, respectively. The dependence of OHI-S and DMFT on predictors (age, gender and deleterious habits) was found to be 21.5% and 39.6%, respectively. Conclusions: Migrant construction workers in Belagavi had a high caries prevalence, poor oral hygiene status, and a high prevalence of deleterious habits such as tobacco use. These results emphasize the necessity of awareness and dental health education programs to improve the oral health of construction workers.

Utilization of sexual and reproductive health services among construction worker women in southern Ethiopia.

BACKGROUND: In Ethiopia, the utilization of sexual and reproductive health services (SRH) is alarmingly inadequate, leading to higher rates of maternal and newborn mortality. Disparities in accessing sexual and reproductive health (SRH) services exist among different population groups, with construction worker women at a higher risk of experiencing such issues. We investigated the utilization of sexual and reproductive health services and associated factors among construction worker women in Southern Ethiopia. METHOD: We conducted a cross-sectional study among construction worker women (15-49) in Southern Ethiopia from July 1st to July 30th, 2021. The participants were selected randomly using venue-day-time sampling (VDTS). The data were collected by a pretested structured questionnaire using an open data kit (ODK) and exported to Statistical Package for Social Sciences (SPSS) version 25 for analysis. Binary logistic regression analysis was conducted to identify factors associated with sexual and reproductive health service utilization. An adjusted odds ratio with 95% CI was used and statistical significance was declared at p-value < 0.05. RESULTS: The study revealed that 54.4% of women of reproductive age had used at least one sexual and reproductive health service in the past year. About 66.7% of women experienced sexual harassment at work, with sex discrimination (86.9%) and sexist hostility (57.9%) being the most common. Aged over 20 years, married women, living with husbands, friends, and boyfriends, within 30 min of health facilities, and having a favorable attitude were significantly associated with SRH service utilization. CONCLUSION: Nearly half of construction workers in southern Ethiopia are not using sexual and reproductive health services, indicating a concerning lack of access to such services. Over two-thirds of women experience sexual harassment in construction site. Therefore, to ensure universal access to SRH services, it is essential to design a new approach including outreach programs specifically tailored to reach such vulnerable groups.

Occupational risk perception of construction workers: a cross sectional study.

Introduction: Construction workers are often exposed to significant injury risk. The aim of our study is to assess their occupational hazards and injury risk perception. Methods: We administered 256 questionnaires to construction workers. The survey was aimed at collecting information regarding occupational risk and hazard exposure perception, risk control and behavioral self-assessment. We analyzed the data obtained in order to highlight any associations between injury risk perception and anamnestic, occupational, behavioral or perceptual factors. Results: Participants were prevalently males (92.37%) aged 21-60 years (94%). They showed a job seniority level of 21.3 (11.51) on average and, ranging from a 1 to 10 score, a danger awareness of 6.8 (2.9), a lack of prevention measures 6.0 (3.3), an improper behavior of 7.3 (2.7), an unpredictable fate of 6.0 (2.9). These factors resulted significantly associated with the injury risk perception. Multivariable analysis highlighted that the injury risk perception was associated with the lack of prevention measure and unpredictable fate. On the other hand, we found a negative association with the workers' improper behaviors. Conclusion: Workers' perception showed fairly uniform average values even when occupational risk was demonstrated. Our analysis suggests a positive correlation between injury risk perception and the idea that injuries are due both to fate and to chance; it also shows a negative correlation between injury risk perception and the idea that injuries are due to improper behavior. A lack of fully comparable studies confirms the need for further studies on the injury risk perception of construction workers.

Analysis of musculoskeletal pains and productivity impacts among hispanic construction workers.

This study investigated the top three musculoskeletal pains (MSP) among Hispanic construction workers in Texas and the relationship between sleep hours, age, and MSPs on worker productivity. The study recruited 228 participants from 28 small construction companies and surveyed them on their occupation, age, sleep hours, MSP, and the impact of pain on productivity. The results indicated that Foot pain was the most common among these workers, followed by Back pain and others. Additionally, the study found that the Foot was the most common body part reported with MSP among roofers, drywall installers, laborers, and helpers. The study conducted a three-factor ANOVA test to analyze if there were any significant differences in productivity based on age, number of MSPs, and sleep hours. The study found that MSPs and sleep hours significantly impacted productivity. However, there was no significant effect of age. The results also showed that the number of MSPs significantly impacted productivity, with an increase in MSPs leading to a more severe impact on productivity. Additionally, those who slept less than 6 h per day had a more severe impact on productivity than those who slept more. The study suggests that targeted interventions to improve musculoskeletal health and productivity in this population are needed and highlights the importance of considering Hispanic construction workers' specific needs when implementing safety measures and addressing pain management in the workplace.

A GRU-Based Model for Detecting Common Accidents of Construction Workers.

Fall accidents in the construction industry have been studied over several decades and identified as a common hazard and the leading cause of fatalities. Inertial sensors have recently been used to detect accidents of workers in construction sites, such as falls or trips. IMU-based systems for detecting fall-related accidents have been developed and have yielded satisfactory accuracy in laboratory settings. Nevertheless, the existing systems fail to uphold consistent accuracy and produce a significant number of false alarms when deployed in real-world settings, primarily due to the intricate nature of the working environments and the behaviors of the workers. In this research, the authors redesign the aforementioned laboratory experiment to target situations that are prone to false alarms based on the feedback obtained from workers in real construction sites. In addition, a new algorithm based on recurrent neural networks was developed to reduce the frequencies of various types of false alarms. The proposed model outperforms the existing benchmark model (i.e., hierarchical threshold model) with higher sensitivities and fewer false alarms in detecting stumble (100% sensitivity vs. 40%) and fall (95% sensitivity vs. 65%) events. However, the model did not outperform the hierarchical model in detecting coma events in terms of sensitivity (70% vs. 100%), but it did generate fewer false alarms (5 false alarms vs. 13).

Multi-Stream Fusion Network for Skeleton-Based Construction Worker Action Recognition.

The global concern regarding the monitoring of construction workers' activities necessitates an efficient means of continuous monitoring for timely action recognition at construction sites. This paper introduces a novel approach-the multi-scale graph strategy-to enhance feature extraction in complex networks. At the core of this strategy lies the multi-feature fusion network (MF-Net), which employs multiple scale graphs in distinct network streams to capture both local and global features of crucial joints. This approach extends beyond local relationships to encompass broader connections, including those between the head and foot, as well as interactions like those involving the head and neck. By integrating diverse scale graphs into distinct network streams, we effectively incorporate physically unrelated information, aiding in the extraction of vital local joint contour features. Furthermore, we introduce velocity and acceleration as temporal features, fusing them with spatial features to enhance informational efficacy and the model's performance. Finally, efficiency-enhancing measures, such as a bottleneck structure and a branch-wise attention block, are implemented to optimize computational resources while enhancing feature discriminability. The significance of this paper lies in improving the management model of the construction industry, ultimately aiming to enhance the health and work efficiency of workers.

Characterizing the relationship between personality traits and safety motivation among construction workers.

Injury rates in the construction industry have been high. Losses from a construction accident are not limited to the high expenses of the delay in construction and the compensations for the injured workers, sometimes even the worker's life. The worker's unsafe behaviors have been the direct cause of an accident, and it is urgent to reduce them effectively. This study examines the relationships between personality traits, psychological needs, and safety motivation. It attempts to provide evidence and support for using personality traits and psychological needs in improving practical construction safety interventions. First, the constructs for personality traits, psychological needs, and safety motivation have been contextualized for application in the construction industry. Second, hypotheses about the relationships among the three constructs were established based on the literature, and a social survey was conducted to collect data for testing the hypotheses. Third, structural equation modeling was used to investigate the association between the three key constructs. The study found that conscientiousness is associated with social identity and intrinsic safety motivation, and extraversion is related to the worker's self-efficacy and extrinsic motivation. Openness to experience is positively associated with work autonomy and self-efficacy; conscientiousness is positively related to social identity, as well as extraversion to self-efficacy, agreeableness to work autonomy, and neuroticism to self-efficacy. The findings of this study contribute toward a better understanding of how personality accounts for differences in psychological needs and safety motivation and how these differences can be used in customized safety interventions. This study guides using personality traits in promoting safety motivation and shows that assessing personality traits can be a helpful tool in designing customized safety interventions.

Incidence rates of injury, musculoskeletal, skin, pulmonary and chronic diseases among construction workers by classification of occupations in South Korea: a 1,027 subject-based cohort of the Korean Construction Worker's Cohort (KCWC).

Background: The objective of this study is to investigate the differences in incidence rates of targeted diseases by classification of occupations among construction workers in Korea. Methods: In a subject-based cohort of the Korean Construction Worker's Cohort, we surveyed a total of 1,027 construction workers. As occupational exposure, the classification of occupations was developed using two axes: construction business and job type. To analyze disease incidence, we linked survey data with National Health Insurance Service data. Eleven target disease categories with high prevalence or estimated work-relatedness among construction workers were evaluated in our study. The average incidence rates were calculated as cases per 1,000 person-years (PY). Results: Injury, poisoning, and certain other consequences of external causes had the highest incidence rate of 344.08 per 1,000 PY, followed by disease of the musculoskeletal system and connective tissue for 208.64 and diseases of the skin and subcutaneous tissue for 197.87 in our cohort. We especially found that chronic obstructive pulmonary disease was more common in construction painters, civil engineering welders, and civil engineering frame mold carpenters, asthma in construction painters, landscape, and construction water proofers, interstitial lung diseases in construction water proofers. Conclusions: This is the first study to systematically classify complex construction occupations in order to analyze occupational diseases in Korean construction workers. There were differences in disease incidences among construction workers based on the classification of occupations. It is necessary to develop customized occupational safety and health policies for high-risk occupations for each disease in the construction industry.

Vibrotactile Alerting to Prevent Accidents in Highway Construction Work Zones: An Exploratory Study.

Struck-by accidents are the leading cause of injuries in highway construction work zones. Despite numerous safety interventions, injury rates remain high. As workers' exposure to traffic is sometimes unavoidable, providing warnings can be an effective way to prevent imminent threats. Such warnings should consider work zone conditions that can hinder the timely perception of alerts, e.g., poor visibility and high noise level. This study proposes a vibrotactile system integrated into workers' conventional personal protective equipment (PPE), i.e., safety vests. Three experiments were conducted to assess the feasibility of using vibrotactile signals to warn workers in highway environments, the perception and performance of vibrotactile signals at different body locations, and the usability of various warning strategies. The results revealed vibrotactile signals had a 43.6% faster reaction time than audio signals, and the perceived intensity and urgency levels on the sternum, shoulders, and upper back were significantly higher than the waist. Among different notification strategies used, providing a moving direction imposed significantly lower mental workloads and higher usability scores than providing a hazard direction. Further research should be conducted to reveal factors that affect alerting strategy preference towards a customizable system to elicit higher usability among users.

Feasibility Analysis of Using Channel State Information (CSI) Acquired from Wi-Fi Routers for Construction Worker Fall Detection.

Accidental falls represent a major cause of fatal injuries for construction workers. Failure to seek medical attention after a fall can significantly increase the risk of death for construction workers. Wearable sensors, computer vision, and manual techniques are common modalities for detecting worker falls in the literature. However, they are severely constrained by issues such as cost, lighting, background, clutter, and privacy. To address the problems associated with the existing proposed methods, a new method has been conceived to identify construction worker falls by analyzing the CSI signals extracted from commercial Wi-Fi routers. In this research context, our study aimed to investigate the potential of using Channel State Information (CSI) to identify falls among construction workers. To achieve the aim of this study, CSI data corresponding to 360 sets of activities were collected from six construction workers on real construction sites. The results indicate that (1) the behavior of construction workers is highly correlated with the magnitude of CSI, even in real construction sites, and (2) the CSI-based method for identifying construction worker falls has an accuracy of 99% and can also accurately distinguish between falls and fall-like actions. The present study makes a significant contribution to the field by demonstrating the feasibility of utilizing low-cost Wi-Fi routers for the continuous monitoring of fall incidents among construction workers. To the best of our knowledge, this is the first investigation to address the issue of fall detection using commercial Wi-Fi devices in real-world construction environments. Considering the dynamic nature of construction sites, the new method developed in this study helps to detect falls at construction sites automatically and helps injured construction workers to seek medical attention on time.

Factors Affecting Preventive Behaviors for Safety and Health at Work during the COVID-19 Pandemic among Thai Construction Workers.

Occupational health and safety risks are of major concerns in construction industry. The COVID-19 outbreak provides an additional risk that could drastically affect the safety risks and health of construction workers. Understanding the factors that affect the health and safety of construction workers is significant in reducing risky behaviors and enhancing worker preventive behaviors. Via integrating the Protection Motivation Theory (PMT) and the extended Theory of Planned Behavior (TPB), this study investigates the factors that affect preventive behaviors among construction workers during the COVID-19 pandemic in Bangkok, Thailand. A total of 610 Thai construction workers participated in an online questionnaire survey, which consisted of nine factors with 43 questions. Structure equation modeling (SEM) was adopted to analyze the causal relationships among the latent variable. The SEM results indicated that organizational support and knowledge about COVID-19 had significant (p < 0.0001) direct influences on perceived vulnerability and perceived severity. In addition, perceived vulnerability and perceived severity had significant direct influences on perceived behavioral control. Perceived severity had significant (p < 0.0001) direct influence on attitude towards behavior. Moreover, perceived behavioral control and attitude towards behavior had significant (p < 0.0001) direct influence on intention to follow the preventive measure. Furthermore, the intention to follow the preventive measure had significant (p < 0.0001) direct influences on the COVID-19 preventive behavior. Of note, organizational support and knowledge about COVID-19 had significant (p < 0.0001) indirect influence on COVID-19 preventive behavior. The findings of this study may assist project managers/supervisors and authorities in the construction industry in understanding the challenge during COVID-19 and possible similar epidemics in the future. In addition, conducting effective strategies would improve construction industry safety and promote preventive behaviors among construction workers.

Psychological decision-making process of construction worker safety behavior: an agent-based simulation approach.

Objectives. Relationships between safety behavior and its antecedents have been widely studied. However, the psychological decision-making process of construction worker safety behavior (CWSB) is rarely examined from the systematic perspective. Thus, this study constructed the theoretical framework for the decision-making process of CWSB and systematically explored effects of individual factors (education, age and safety knowledge), organizational factors (safety climate and leader-member exchange [LMX]) and psychological factors (psychological capital [PsyCap] and communication competence [CommComp]) on the dynamic performance of CWSB. Methods. Data were collected from the literature and 536 construction workers in China. The theoretical model was tested with the agent-based simulation (ABS) technique. Results. High level of education, safety knowledge, safety climate, LMX, PsyCap and CommComp help to reduce unsafe behavior at the cut-off point. However, the age-safety relationship might present a U-shape, which denotes that reasonable age structure of construction worker groups may be an option for bettering safety performance. The results indicate that the psychological decision-making process of CWSB is not only the result of individual rational decision, but also the product of organizational and psychological impacts. Findings of this study shed lights on safety behavior management practices based on the psychological decision-making process of CWSB.

Willingness to accept metaverse safety training for construction workers based on extended UTAUT.

Safety training (ST) is essential in avoiding unsafe behavior of construction workers. With the rise of metaverse technology, metaverse safety training (MST) has gradually become a new model to guide construction workers in safety production. An in-depth study of construction workers' willingness to accept the metaverse safety training (WAMST) helps improve its effectiveness, but studies need to pay more attention to it. This study constructs a conceptual model of WAMST for construction workers, and the influencing factors of WAMST are explained based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT). It established a Structural equation modeling to verify the relationship between influencing factors. An example verifies the feasibility of the model. The results show that the framework significantly contributes to the willingness of construction workers to participate and improves safety awareness. Specifically, performance expectancy, effort expectancy, social influence, and convenient conditions significantly affect the construction workers' willingness to accept. Convenient conditions have a direct effect on actual behavior. Willingness to accept plays a mediating role between performance expectancy and actual behavior. Perceived trust moderates the effect between willingness to accept and actual behavior, and the force of positive interpretation increases proportionally. It confirms how to improve the safety capacity of construction workers and provides references for governments, enterprises, and projects to formulate ST strategies.

Can Professionalization Alleviate Job Burnout in Construction Workers in China? A Multivariable Mediating Model.

Burnout is at all-time highs across modern professions. As a typical labor-intensive industry, the high-pressure and task-driven nature of the construction industry makes construction workers more prone to burnout. It is still unclear whether increasing the professionalization level can lessen the many harmful consequences of job burnout on construction workers' employment. Therefore, this study examined the influencing mechanism of professionalization on job burnout in the construction industry. First, a theoretical model based on the conservation of resources (COR) theory was developed with workload, job insecurity, and work-family conflict as moderating variables. A reliable sample of 441 Chinese construction workers were then recruited in the investigation. The data analysis was supported by confirmatory factor analysis (CFA) and structural equation modeling (SEM). The results indicated that: (i) an increase in the professionalization level could be directly effective in alleviating job burnout among construction workers; (ii) workload and work-family conflict could play an independent and continuous mediating role between professionalization and job burnout; and (iii) while job insecurity caused by a low professionalization did not have a direct impact on job burnout, it could have an indirect impact on job burnout through workload and work-family conflict, respectively. This study enriches the literature on job burnout among construction workers, as well as provides a theoretical basis and practical management guidance for Chinese construction companies to alleviate job burnout in workers from a professionalization standpoint.

The effect of economical phenomenon on informal construction workers earnings within Covid-19 pandemic: A mixed method analysis.

The informal sector is an alternative to getting a job without special conditions such as education level or job skills. These informal workers are often found in the construction sector. Informal construction workers have no social protection and are economically marginalized, making their economy worse during the Covid-19 pandemic. This study investigates informal construction workers' economic phenomenon, from big cities in Java Island, Indonesia, when facing difficult situations due to the pandemic of Covid-19 with the mixed method. First, the quantitative method gathered the questionnaire from 225 informal workers in the construction sector who experienced a drastic reduction in their regular income, even weekly or monthly. They take advantage of savings and increase debt to cover the reduced income. Then, the qualitative method was conducted to investigate the informal construction worker's economical phenomenon with in-depth interviews with five foremen and five construction field managers. During the pandemic, government programs to provide income support for informal workers have contributed less to informal sector workers. Thus, the results of this research can be used by the government or other parties to help provide better social protection to informal sector workers from a more significant economic recession due to the pandemic.

Development of an integrated fatigue measurement system for construction workers: a feasibility study.

BACKGROUND: Construction workers working in physically and mentally challenging environments experience high levels of occupational fatigue, which is the primary cause of industrial accidents and illnesses. Therefore, it is very important to measure fatigue in real time to manage the safety and health of construction workers. This study presents a novel approach for simultaneously measuring the subjective and objective fatigue of construction workers using ecological momentary assessment (EMA) and smartwatches. Due to the complexity and diversity of construction site environments, it is necessary to examine whether data collection using smartwatches is suitable in actual construction sites. This study aims to examine the feasibility of the integrated fatigue measurement method. METHODS: This study comprised two phases: (1) development of an integrated fatigue measurement system for construction workers, and (2) a validation study to evaluate the method's feasibility based on sensor data acquisition, EMA compliance, and feedback from construction workers in the field (N = 80). Three days of biometric data were collected through sensors embedded in the smartwatches for objective fatigue measurement, including heart rate, accelerometer, and gyroscope data. Two types of self-reported data regarding each worker's fatigue were collected through a researcher-developed EMA application. The acceptability and usability of this system were examined based on the researchers' observations and unstructured interviews. RESULTS: Based on the standardized self-report questionnaire scores, participants were classified into high (n = 35, 43.75%) and low (n = 45, 56.25%) fatigue groups for comparison. The quantitative outcomes did not show a statistically significant difference between the two fatigue groups. Both groups experienced positive emotions and were able to recognize their health condition at the time of self-reporting, but stated that responding to this measurement system could be burdensome. CONCLUSIONS: This feasibility study provides a unique understanding of the applications of EMA and smartwatches for safety management in the construction workforce. The developed measurement system shows potential for monitoring fatigue based on the real-time collection of relevant data. It is expected that by expanding this integrated system through further research and onsite application, the health and safety of construction workers can be improved.