Smart Helmet with Cloud GPS GSM Technology for Accident and Alcohol Detection

Dhulavvagol, Praveen M.; Shet, Ranjitha; Nashipudi, Prateeksha; Meti, Anand S.; Ganiger, Renuka

doi:10.1007/978-981-10-9059-2_31

Cited by 5 publications

(6 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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 ]. Alcohol sensors are used to prevent excessive alcohol use while riding a motorcycle [ 49 , 52 , 69 , 76 - 78 , 82 ]. To analyze external factors that may put users at risk, gas, temperature, and humidity sensors are used [ 15 - 17 , 36 , 38 , 39 , 42 , 45 , 64 , 67 , 68 ].…”

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%

“…The IMU sensor and accelerometer were adopted to detect sudden changes in head position or acceleration in a certain direction [13][14][15][16]18,37,44,46,55,57,59]. For health monitoring, various physiological sensors such as temperature [14,15,39,40,42,43,47,52,54,[57][58][59][60], heart rate [14,40,42,43,57,58], humidity sensors [15,38,42,54], and alcohol sensor [49,51,69,[76][77][78]82] were used for continuous monitoring. That is, specific sensors were used to obtain certain features of smart helmets.…”

Section: Features Of Smart Helmet Sensingmentioning

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%

See 4 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

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.

show abstract