Applications of Smart Helmet in Applied Sciences: A Systematic Review

Choi, Yosoon; Kim, Yeanjae

doi:10.3390/app11115039

Cited by 21 publications

(10 citation statements)

References 63 publications

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“…Incorporating BIM into safety management provides an additional comprehensive and proactive approach to identifying and mitigating potential safety hazards and risks, including the safety precautions that may be taken (Fargnoli & Lombardi, 2020). This results in a safer working environment for workers and improved collaboration and communication among stakeholders, including architects, engineers, contractors, and safety managers ( Smart helmets, which contain a variety of electronic gadgets and sensors, are being increasingly utilised in the construction sector to identify workplace hazards, location tracking, real-time monitoring, and danger alarms for workers (Choi & Kim, 2021). Smart helmets contain a range of sensor devices that allows construction companies and managers to accumulate real-time data for data analysis to lower job-related risks and enhance safety.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Smart helmets contain a range of sensor devices that allows construction companies and managers to accumulate real-time data for data analysis to lower job-related risks and enhance safety. Smart helmets can allow for voice contact between safety managers and workers in order to alert them of unsafe behaviour and potential risks or incidents (Choi & Kim, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Wearable technology, such as smart helmets and safety vests, can improve construction workers' safety by giving real-time feedback and data collection for analysis (Choi & Kim, 2021). This research aims to provide insight into fall-from-height hazard management on NZ construction sites and technology-based applications to improve construction safety management.…”

Section: Introductionmentioning

confidence: 99%

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Integrating Building Information Modelling and Wearable Technologies for Fall-From-Height Management in New Zealand Construction Sites

Castillo,

Kularatne

2023

Rere Āwhio

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The New Zealand construction sector is considered one of the most hazardous industries, with fall-from-height being one of the most dangerous hazards. Despite health and safety policies, workplace safety is often overlooked. The lack of implementation of safety regulations and a lack of understanding of the hazards on construction sites are contributing factors to the high numbers of fall-from-height incidents. The construction sector has begun adopting technology-based solutions to manage worker safety better. Building Information Modelling and wearable technology have shown promise in improving construction safety management, but it is not yet widely adopted. This research provides insight into the potential benefits of adopting technology-based solutions in the construction sector to improve worker safety and reduce the number of fall-from-height incidents. The research was conducted using various online databases and publications that focused on developing or applying Building Information Modelling and wearable technologies for fall-from-height management in construction.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Integrating Building Information Modelling and Wearable Technologies for Fall-From-Height Management in New Zealand Construction Sites

Castillo,

Kularatne

2023

Rere Āwhio

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“…In the field of ITS, studies on helmets equipped with sensors (smart helmets) are being studied [21][22][23]; however, such studies have been limited to detecting alcohol for motorcycle riders, collision detection, and confirming the safety of riders following an accident.…”

Section: Introductionmentioning

confidence: 99%

Map building using helmet-mounted LiDAR for micro-mobility

Yoshida

Yoshida²,

Hashimoto³

et al. 2023

Artif Life Robotics

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This paper presents a point-cloud mapping method using a light detection and ranging (LiDAR) mounted on a helmet worn by a rider of micro-mobility. The distortion in LiDAR measurements, which is caused by motion and shaking of micro-mobility and rider, is corrected by estimating the pose (3D positions and attitude angles) of the helmet based on the information from normal distributions transform-based simultaneous localization and mapping (NDT SLAM) and an inertial measurement unit. A Kalman filter-based algorithm for the distortion correction is presented under the assumption that the helmet moves at nearly constant translational and angular velocities in any directions. The distortion-corrected LiDAR measurements are mapped onto an elevation map, and the measurements relating to stationary objects in the environments are extracted using the occupancy grid method. The stationary object measurements are utilized to build a point-cloud map. The experimental results in a campus road environment demonstrate the effectiveness of the proposed method.

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“…Previous studies have indicated the potential applications of smart helmets in diverse scenarios, such as industry, first responder applications, and health tracking [ 11 ]. For instance, the construction industry has adopted the use of smart helmets for health and safety management by monitoring workplace surroundings or the physiological signals of workers [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Trends in Smart Helmets With Multimodal Sensing for Health and Safety: Scoping Review

Lee¹,

Kim²,

Zitouni³

et al. 2022

JMIR Mhealth Uhealth

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Background As a form of the Internet of Things (IoT)–gateways, a smart helmet is one of the core devices that offers distinct functionalities. The development of smart helmets connected to IoT infrastructure helps promote connected health and safety in various fields. In this regard, we present a comprehensive analysis of smart helmet technology and its main characteristics and applications for health and safety. Objective This paper reviews the trends in smart helmet technology and provides an overview of the current and future potential deployments of such technology, the development of smart helmets for continuous monitoring of the health status of users, and the surrounding environmental conditions. The research questions were as follows: What are the main purposes and domains of smart helmets for health and safety? How have researchers realized key features and with what types of sensors? Methods We selected studies cited in electronic databases such as Google Scholar, Web of Science, ScienceDirect, and EBSCO on smart helmets through a keyword search from January 2010 to December 2021. In total, 1268 papers were identified (Web of Science: 87/1268, 6.86%; EBSCO: 149/1268, 11.75%; ScienceDirect: 248/1268, 19.55%; and Google Scholar: 784/1268, 61.82%), and the number of final studies included after PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) study selection was 57. We also performed a self-assessment of the reviewed articles to determine the quality of the paper. The scoring was based on five criteria: test environment, prototype quality, feasibility test, sensor calibration, and versatility. Results Smart helmet research has been considered in industry, sports, first responder, and health tracking scenarios for health and safety purposes. Among 57 studies, most studies with prototype development were industrial applications (18/57, 32%), and the 2 most frequent studies including simulation were industry (23/57, 40%) and sports (23/57, 40%) applications. From our assessment-scoring result, studies tended to focus on sensor calibration results (2.3 out of 3), while the lowest part was a feasibility test (1.6 out of 3). Further classification of the purpose of smart helmets yielded 4 major categories, including activity, physiological and environmental (hazard) risk sensing, as well as risk event alerting. Conclusions A summary of existing smart helmet systems is presented with a review of the sensor features used in the prototyping demonstrations. Overall, we aimed to explore new possibilities by examining the latest research, sensor technologies, and application platform perspectives for smart helmets as promising wearable devices. The barriers to users, challenges in the development of smart helmets, and future opportunities for health and safety applications are also discussed. In conclusion, this paper presents the current status of smart helmet technology, main issues, and prospects for future smart helmet with the objective of making the smart helmet concept a reality.

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Applications of Smart Helmet in Applied Sciences: A Systematic Review

Cited by 21 publications

References 63 publications

Integrating Building Information Modelling and Wearable Technologies for Fall-From-Height Management in New Zealand Construction Sites

Integrating Building Information Modelling and Wearable Technologies for Fall-From-Height Management in New Zealand Construction Sites

Map building using helmet-mounted LiDAR for micro-mobility

Trends in Smart Helmets With Multimodal Sensing for Health and Safety: Scoping Review

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