IOT based Smart Helmet System with Data Log System

Uniyal, Manish; Rawat, Himanshu; Srivastava, Manu; Srivastava, Vivek Kumar

doi:10.1109/icacccn.2018.8748790

Cited by 19 publications

(9 citation statements)

References 1 publication

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“…Figure 6 presents frequently used sensors in smart helmets. In terms of activity risk sensing, impact sensors and IMU are widely used to detect head injuries [ 13 - 16 , 18 , 36 , 37 , 40 , 46 , 52 , 55 , 57 - 61 , 63 , 66 , 70 - 73 , 75 - 78 , 80 - 83 ], and an IR sensor or force-sensitive resistor (FSR) is used to confirm whether a worker has worn the helmet [ 36 , 39 , 48 , 49 , 67 - 70 , 73 , 74 , 79 ]. To monitor physiological changes, body temperature, photoplethysmogram, and EEG sensors are adopted [ 13 , 37 , 40 , 42 , 43 , 47 , 57 , 58 , 64 , 67 , 68 , 72 , 80 , 84 , 86 ].…”

Section: Resultsmentioning

confidence: 99%

“…The numbers of articles that presented smart helmet prototypes for industry, sport, first responder, and health tracking applications were 18 (53%) [13][14][15][16][17][18][36][37][38][39][40][41][42][43][44][45][46][47], 7 (21%) [48][49][50][51][52][53][54], 4 (12%) [55][56][57][58], and 5 (15%) [59][60][61][62][63], respectively. The numbers of articles that included module simulations instead of prototypes for industry, sport, and health tracking applications were 5 (22%) [64][65][66][67][68], 16 (70%) [69][70][71][72][73][74][75][76][77][78]…”

Section: Classification Of Smart Helmetsmentioning

confidence: 99%

“…IR cameras can be used for temperature scanning [18,55,56]. Finally, GPS and Global System for Mobile Communication and General Packet Radio Service sensors are adopted to report nearby accidents [51,55,56,62,65,70,[75][76][77][78]80,82,83]. Multimedia Appendix 1 [13][14][15][16][17][18] summarizes 34 original articles that have reported on the development of prototypes of the proposed smart helmets.…”

Section: Common Smart Helmet Sensorsmentioning

confidence: 99%

“…Most of these studies have been based in environments in which wearing a helmet is mandatory or suggested, as in occupational health and safety applications, which are widely studied, as shown in Figure 4. Smart helmets can be potentially used in construction [13,17,18,37,39,40,65,66], coal mining [36,38,42,64,68], motorcycle [48][49][50][51][52][69][70][71][72][73][74][75][76][77][78]80,[82][83][84], and bicycle riding [54,79], police [56] and firefighting [55,57,58], and health tracking [59][60][61][62][63]85,86] applications. Among the 57 considered articles, there were 4 major domains for smart helmets: ARS, PRS, ERS, and REA, as shown in Figure 5.…”

Section: Principal Findingsmentioning

confidence: 99%

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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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Section: Resultsmentioning

confidence: 99%

Section: Classification Of Smart Helmetsmentioning

confidence: 99%

Section: Common Smart Helmet Sensorsmentioning

confidence: 99%

Section: Principal Findingsmentioning

confidence: 99%

See 2 more Smart Citations

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

Lee¹,

Kim²,

Zitouni³

et al. 2022

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

“…The data were stored in a local storage medium because the helmet did not provide a function to share the data that it monitored with other users. Uniyal et al [31] developed a smart helmet using the Arduino board, RF transmitter, and sensors for detecting helmet wear, speed, accident, and location. The smart helmet collects and records speeding data of the bike and provides a risk warning when the bike exceeds the speed limit.…”

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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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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