Physiological condition monitoring of construction workers

Gatti, U.; Schneider, Suzanne M.; Migliaccio, Giovanni C.

doi:10.1016/j.autcon.2014.04.013

Cited by 113 publications

(70 citation statements)

References 53 publications

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“…Pedestrian walking entails an interaction between the surface of a sidewalk and a human [38], fatigue [39], and gait stability [38,39]. Problematically, to obtain the information required for these projects, devices must be attached to the body, which in turn can affect human bodily response.…”

Section: Challenges and Hypothesismentioning

confidence: 99%

A people-centric sensing approach to detecting sidewalk defects

Kim

Yang

2016

Advanced Engineering Informatics

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A defective sidewalk inhibits the walkability of a street and may also cause safety accidents (slips, trips, and falls) for pedestrians. When a pedestrian walks along a sidewalk, his/her behaviors may vary according to the condition of the sidewalk-e.g., whether the surface is normal, holed, cracked, tilted, or sloped. As a result, the pedestrian's stability may also change according to the built environment's conditions. Accordingly, this paper examines the feasibility of using pedestrians' physical behaviors to detect defects in a sidewalk. Pedestrians' physical responses and paths over a sidewalk are collected using an inertial measurement unit (IMU) sensor and a global positioning system (GPS). Then, after aggregating the pedestrians' bodily responses and locations, the irregularity of multiple pedestrians' responses are calculated in relation to their locations. The locations that show irregularities in the pedestrian-response patterns present a high correlation with the existence of a defect. The results of this study will help improve the continuous diagnosis of defects in sidewalks, thereby enhancing these built environment systems' serviceability.

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Section: Challenges and Hypothesismentioning

confidence: 99%

A people-centric sensing approach to detecting sidewalk defects

Kim

Yang

2016

Advanced Engineering Informatics

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“…With the development of wearable sensing devices and technology, workers' physiological responses-such as heart rates, breathing rates, and postures-have been monitored and studied for enhancing safety and productivity in previous studies [9][10][11][12]. Our previous studies [13,14] also investigated the feasibility of detecting near-miss falls of ironworkers using sensed bodily response.…”

Section: Research Backgroundmentioning

confidence: 99%

“…To mitigate this reality, several studies examined the potential of applying diverse sensing approaches [7][8][9][10][11] to construction safety. Computer vision-based techniques are used to detect workers' unsafe behaviors [7] and hardhat wearing [8] in a construction environment.…”

Section: Research Backgroundmentioning

confidence: 99%

Sensing Workers Gait Abnormality for Safety Hazard Identification

Yang

Vuran²,

Kim

2016

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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-Ironwork is considered one of the most dangerous construction trades due to its fall-prone working environment. Since safety-hazard identification is fundamental to preventing ironworkers' fall accidents, engineering measures have been applied to eliminate fall hazards or to reduce their associated risks. However, a significant quantity of hazards usually remains unidentified or not well assessed because most current efforts rely on human judgment to identify hazards. To enhance hazard identification efforts, this paper develops a technique for detecting the jobsite safety hazards of ironworkers by analyzing their gait anomalies. Using wearable inertial measurement units (WIMUs) to record kinematic data about ironworkers' gait, this study collected kinematic data while the workers interacted with two types of jobsite hazards. The anomaly level of each gait was modeled using diverse gait-related metrics. Moreover, relationships between safety hazards and worker gait abnormalities were examined through extensive experiment evaluations. The results reveal opportunities for enhancing hazard identification performance by monitoring workers' bodily response.

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“…Breathing monitoring is also applicable to the field of work health and safety at work [ 8 ]. Firstly, having breathing information from workers can be helpful in assessing work-related risks to plan preventive actions to be undertaken before a work disease appears.…”

Section: Introductionmentioning

confidence: 99%

Sensing Systems for Respiration Monitoring: A Technical Systematic Review

Vanegas

Igual

Plaza

2020

Sensors

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Respiratory monitoring is essential in sleep studies, sport training, patient monitoring, or health at work, among other applications. This paper presents a comprehensive systematic review of respiration sensing systems. After several systematic searches in scientific repositories, the 198 most relevant papers in this field were analyzed in detail. Different items were examined: sensing technique and sensor, respiration parameter, sensor location and size, general system setup, communication protocol, processing station, energy autonomy and power consumption, sensor validation, processing algorithm, performance evaluation, and analysis software. As a result, several trends and the remaining research challenges of respiration sensors were identified. Long-term evaluations and usability tests should be performed. Researchers designed custom experiments to validate the sensing systems, making it difficult to compare results. Therefore, another challenge is to have a common validation framework to fairly compare sensor performance. The implementation of energy-saving strategies, the incorporation of energy harvesting techniques, the calculation of volume parameters of breathing, or the effective integration of respiration sensors into clothing are other remaining research efforts. Addressing these and other challenges outlined in the paper is a required step to obtain a feasible, robust, affordable, and unobtrusive respiration sensing system.

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Physiological condition monitoring of construction workers

Cited by 113 publications

References 53 publications

A people-centric sensing approach to detecting sidewalk defects

A people-centric sensing approach to detecting sidewalk defects

Sensing Workers Gait Abnormality for Safety Hazard Identification

Sensing Systems for Respiration Monitoring: A Technical Systematic Review

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