Smart helmet for construction site documentation and work support

Pirkl, Gerald; Hevesi, Péter; Amarislanov, Orkhan; Lukowicz, Paul

doi:10.1145/2968219.2971378

Cited by 16 publications

(15 citation statements)

References 7 publications

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“…A total of 22 academic papers that deal with the applications of smart helmets for workers were published during the past 11 years [8,9,[90][91][92][93][94][95][96][97][98][99][100][101][102][103][104][105][106][107][108][109] and are summarized in Table 3. The application fields include mining, construction, petrochemistry, disaster prevention, and medical treatment.…”

Section: Application Fields Of Smart Helmet Researchmentioning

confidence: 99%

“…In the mining industry, 10 studies were performed on a smart helmet that detects harmful gases, such as carbon monoxide (CO) and methane (CH 4 ), and guarantees the safety of workers through rescue requests in the case of a dangerous situation [90][91][92][93][94][95][96][97][98][99]. Three studies have been reported in the construction industry, where smart helmets were primarily used to detect workplace hazards and provide risk alarms to construction workers [8,100,101]. For example, a safety helmet with gravity and head movement sensors was used at the construction site to detect a falling worker and activate emergency rescue requests [8].…”

Section: Application Fields Of Smart Helmet Researchmentioning

confidence: 99%

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Applications of Smart Helmet in Applied Sciences: A Systematic Review

Choi

Kim

2021

Applied Sciences

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A smart helmet is a wearable device that has attracted attention in various fields, especially in applied sciences, where extensive studies have been conducted in the past decade. In this study, the current status and trends of smart helmet research were systematically reviewed. Five research questions were set to investigate the research status of smart helmets according to the year and application field, as well as the trend of smart helmet development in terms of types of sensors, microcontrollers, and wireless communication technology. A total of 103 academic research articles published in the past 11 years (2009–2020) were analyzed to address the research questions. The results showed that the number of smart helmet applications reported in literature has been increasing rapidly since 2018. The applications have focused mostly on ensuring the safety of motorcyclists. A single-board-based modular concept unit, such as the Arduino board, and sensor for monitoring human health have been used the most for developing smart helmets. Approximately 85% of smart helmets have been developed to date using wireless communication technology to transmit data obtained from smart helmets to other smart devices or cloud servers.

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Section: Application Fields Of Smart Helmet Researchmentioning

confidence: 99%

Section: Application Fields Of Smart Helmet Researchmentioning

confidence: 99%

Applications of Smart Helmet in Applied Sciences: A Systematic Review

Choi

Kim

2021

Applied Sciences

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“…In the context of Smart-Helmets, some of the applications already explored are road accident detection [Chandran et al 2016, Uma et al 2018, military appliances [Jo et al 2017], disaster rescue workers safety [Jeong et al 2018], industry [Roja andSrihari 2018, Harshitha et al 2018] and construction sites [Pirkl et al 2016]. Although there are many proposed helmets, no other authors present a novel smart helmet developed for field research in ecology.…”

Section: Theoretical Reference and Related Workmentioning

confidence: 99%

Desenvolvimento de capacete inteligente para aplicações de pesquisa de campo ecológico

Silva

Ribeiro

Delabrida

et al. 2019

Anais Do Seminário Integrado De Software E Hardware (SEMISH)

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Forest inventory and management are important topics to enhance environmental protection initiatives and policies. Thus, sampling processes inside the forest environment are normally manual and limited. These conditions nurture an increasing need for novel solutions to enhance environmental perception, especially in ground-sampling processes. In this work, we present a new solution to augment environmental perception. The proposed appliance is a wearable embedded system based on a helmet and projected to acquire environmental data. It also allows the development of new applications to expand the researcher reality perception.

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“…New technologies are enabling a larger volume of data collection and also increasing the quality of data (Dave et al 2008) that can be available for construction crews, providing real-time information about the construction sites. It is possible now to collect data from construction sites through 3D laser scanning and photogrammetry (Pica et al 2019), indoor positioning systems (IPS;Olivieri et al 2017;Dror 2018;Dror et al 2019;Zhao et al 2019), Internet of Things (IoT) applications (Dave et al 2015) and real-time images captured by drones and helmet cameras (Pirkl et al 2016). This assortment of data can lead to a more autonomous construction crew and can be translated into meaningful information that will increase their awareness of the construction site and current production status.…”

Section: Introductionmentioning

confidence: 99%

The Role of Digitalized Visual Management to Empower Selfmanaged Crews in Construction Projects

Reinbold

Seppänen

Peltokorpi

2020

Proc. 28th Annual Conference of the International Group for Lean Construction (IGLC)

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This theoretical study encompasses the role of digitalization in visual management (VM) applied in construction projects to increase the situational awareness (SA) of construction workers and crews. A literature review on VM, SA and self-managed crews shows that the level of digitalization in the construction industry is low when compared to other industries, that information silos are a common practice and that the decision-making processes depend largely on the construction manager role, causing a bottleneck of information and repeated time waste. As more digitalization enters construction sites and the amount and quality of available data increases, appropriate use of this data can bring meaningful improvement to construction site management. The study shows that using updated and real-time data for VM devices can increase information flow among construction workers and crews, increasing SA throughout the construction project. This can enable the construction crews to be more autonomous and self-managed, resulting in decentralized decision-making processes to solve task-related problems. Further steps for empirical research are suggested.

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Smart helmet for construction site documentation and work support

Cited by 16 publications

References 7 publications

Applications of Smart Helmet in Applied Sciences: A Systematic Review

Applications of Smart Helmet in Applied Sciences: A Systematic Review

Desenvolvimento de capacete inteligente para aplicações de pesquisa de campo ecológico

The Role of Digitalized Visual Management to Empower Selfmanaged Crews in Construction Projects

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