Log in

Relevant bibliographies by topics / Smart Helmet / Journal articles

To see the other types of publications on this topic, follow the link: Smart Helmet.

Journal articles on the topic 'Smart Helmet'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Smart Helmet.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Choi, Yosoon, and Yeanjae Kim. "Applications of Smart Helmet in Applied Sciences: A Systematic Review." Applied Sciences 11, no. 11 (May 29, 2021): 5039. http://dx.doi.org/10.3390/app11115039.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

2

Lokhande, N. L. "Smart Helmet." International Journal for Research in Applied Science and Engineering Technology 7, no. 4 (April 30, 2019): 3941–45. http://dx.doi.org/10.22214/ijraset.2019.4659.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Durgale, Sheetal. "Smart Helmet." International Journal for Research in Applied Science and Engineering Technology 7, no. 5 (May 31, 2019): 567–72. http://dx.doi.org/10.22214/ijraset.2019.5095.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

PS, Jibin. "Smart Helmet." International Journal for Research in Applied Science and Engineering Technology 7, no. 6 (June 30, 2019): 95–98. http://dx.doi.org/10.22214/ijraset.2019.6020.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Samual, Mr Bipin. "Smart Helmet." International Journal for Research in Applied Science and Engineering Technology 6, no. 5 (May 31, 2018): 1275–79. http://dx.doi.org/10.22214/ijraset.2018.5209.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Tiwari, Deo Raj, Akshay Kumar Sharma, Akhlaqur Rahman, Ahmar Kamran, and Ajit Agrahari. "Smart Helmet." Invertis Journal of Science & Technology 12, no. 2 (2019): 37. http://dx.doi.org/10.5958/2454-762x.2019.00008.8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Varshney, Abhishek. "Smart Helmet." International Journal for Research in Applied Science and Engineering Technology V, no. IV (April 27, 2017): 1027–31. http://dx.doi.org/10.22214/ijraset.2017.4185.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Singh, Vikram. "Smart Helmet." International Journal for Research in Applied Science and Engineering Technology 6, no. 3 (March 31, 2018): 2254–58. http://dx.doi.org/10.22214/ijraset.2018.3523.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Reddy, Nelakurthi Spoorthi. "Smart Helmet." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 4075–89. http://dx.doi.org/10.22214/ijraset.2021.35851.

Full text

Abstract:

Road accidents are increasing day by day because the riders are not using the helmet and due to consumption of alcohol. In today's world, huge numbers of people are dying on road accidents. By using smart helmet, the accidents can be detected. The main target of the project is designing a smart helmet for accident avoidance and alcohol detection. The features of the Smart Helmet are wearing helmet, detection of alcohol, detection of accident. If the person is not wearing helmet the bike will not start and it displays on the LCD. The alcohol sensor recognizes the alcoholic substance in the rider's breath. If the person is drunk then alcohol sensor detects it and displays on the LCD and the bike will not start. If there is no detection of alcohol then the bike starts. If there is no sign of alcoholic substance present and helmet is used, only then the bike will start. The bike will not start if any of the two conditions is violated. If an accident is occurred then it is detected by Vibration sensor and alarm is activated. If the person is in conscious state, then the person can off the alarm and no message is sent to the saved numbers. If the person is in unconscious state, then message will be sent to the saved numbers in GSM module and sends the location to them by GPS. With the use of Smart Helmet, accident rate can be reduced.

APA, Harvard, Vancouver, ISO, and other styles

10

Sobhana, S., S. R. Sowmeeya, M. Srinathji, and S. Tamilselvan. "Smart Helmet." IOP Conference Series: Materials Science and Engineering 1084, no. 1 (March 1, 2021): 012116. http://dx.doi.org/10.1088/1757-899x/1084/1/012116.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Wang, Rui, Guijun Xiang, Yanping Li, and Samuel Gomes. "Designing a Smart Safety Helmet." International Journal of Materials, Mechanics and Manufacturing 6, no. 5 (October 2018): 327–31. http://dx.doi.org/10.18178/ijmmm.2018.6.5.401.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Youssef, Ali, Jeroen Colon, Konstantios Mantzios, Paraskevi Gkiata, Tiago Mayor, Andreas Flouris, Guido De Bruyne, and Jean-Marie Aerts. "Towards Model-Based Online Monitoring of Cyclist’s Head Thermal Comfort: Smart Helmet Concept and Prototype." Applied Sciences 9, no. 15 (August 4, 2019): 3170. http://dx.doi.org/10.3390/app9153170.

Full text

Abstract:

Bicyclists can be subjected to crashes, which can cause injuries over the whole body, especially the head. Head injuries can be prevented by wearing bicycle helmets; however, bicycle helmets are frequently not worn due to a variety of reasons. One of the most common complaints about wearing bicycle helmets relates to thermal discomfort. So far, insufficient attention has been given to the thermal performance of helmets. This paper aimed to introduce and develop an adaptive model for the online monitoring of head thermal comfort based on easily measured variables, which can be measured continuously using impeded sensors in the helmet. During the course of this work, 22 participants in total were subjected to different levels of environmental conditions (air temperature, air velocity, mechanical work and helmet thermal resistance) to develop a general model to predict head thermal comfort. A reduced-order general linear regression model with three input variables, namely, temperature difference between ambient temperature and average under-helmet temperature, cyclist’s heart rate and the interaction between ambient temperature and helmet thermal resistance, was the most suitable to predict the cyclist’s head thermal comfort and showed maximum mean absolute percentage error (MAPE) of 8.4%. Based on the selected model variables, a smart helmet prototype (SmartHelmet) was developed using impeded sensing technology, which was used to validate the developed general model. Finally, we introduced a framework of calculation for an adaptive personalised model to predict head thermal comfort based on streaming data from the SmartHelmet prototype.

APA, Harvard, Vancouver, ISO, and other styles

13

Mane, Atharva. "Smart Device for Bikers to Prevent from Accident and Motorcycle Security." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 10, 2021): 137–40. http://dx.doi.org/10.22214/ijraset.2021.36274.

Full text

Abstract:

In the current situation many people lost their life due to accidents and the main reason behind it is they are not wearing helmets. So, by wearing a helmet people can save their life and for compulsory use of a helmet, it should be linked with a bike. With this reason, bikemet project is specially developed. This is a combination of a bike and helmet that has become smarter and safer than before with the aid of IoT. The BikeMet has a Proximity sensor which makes the user compulsorily wear the helmet and if still there is an emergency, then there is a keypad provided which will allow the user to use the bike by entering a Pin so it is convenient for the user to rid out from the situation. In the mechanism of bikemet, bike and helmet are linked together and they transmit the data from the helmet to the receiver of the bike and hence if the user wears a helmet, then only the user will be able to turn on the bike. The bike has various sensors like track if the bike gets stolen then automatically off the ignition of the bike and like Accelerometer to detect accidents and send messages to respective people for giving information. So, this application can save many lives.

APA, Harvard, Vancouver, ISO, and other styles

14

Verulkar, Nilesh M. "Smart Helmet: A Review." International Journal for Research in Applied Science and Engineering Technology 6, no. 1 (January 31, 2018): 2763–67. http://dx.doi.org/10.22214/ijraset.2018.1378.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Kim, Yeanjae, Jieun Baek, and Yosoon Choi. "Smart Helmet-Based Personnel Proximity Warning System for Improving Underground Mine Safety." Applied Sciences 11, no. 10 (May 11, 2021): 4342. http://dx.doi.org/10.3390/app11104342.

Full text

Abstract:

A smart helmet-based wearable personnel proximity warning system was developed to prevent collisions between equipment and pedestrians in mines. The smart helmet worn by pedestrians receives signals transmitted by Bluetooth beacons attached to heavy equipment, light vehicles, or dangerous zones, and provides visual LED warnings to the pedestrians and operators simultaneously. A performance test of the proposed system was conducted in an underground limestone mine. It was confirmed that as the transmission power of the Bluetooth beacon increased, the Bluetooth low energy (BLE) signal detection distance of the system also increased. The average BLE signal detection distance was at least 10 m, regardless of the facing angle between the smart helmet and Bluetooth beacon. The subjective workload for the smartphone-, smart glasses-, and smart helmet-based proximity warning system (PWS) was evaluated using the National Aeronautics and Space Administration task load index. All six workload parameters were the lowest when using the smart helmet-based PWS. The smart helmet-based PWS can provide visual proximity warning alerts to both the equipment operator and the pedestrian, and it can be expanded to provide worker health monitoring and hazard awareness functions by adding sensors to the Arduino board.

APA, Harvard, Vancouver, ISO, and other styles

16

Shravya, Keesari, Yamini Mandapati, Donuru Keerthi, Kothapu Harika, and Ranjan K. Senapati. "Smart helmet for safe driving." E3S Web of Conferences 87 (2019): 01023. http://dx.doi.org/10.1051/e3sconf/20198701023.

Full text

Abstract:

A smart helmet is a type of protective headgear used by the rider which makes bike driving safer than before. The main purpose of this helmet is to provide safety for the rider. This can be implemented by using advanced features like alcohol detection, accident identification, location tracking, use as a hands free device, fall detection. This makes it not only a smart helmet but also a feature of a smart bike. It is compulsory to wear the helmet, without which the ignition switch cannot turn ON. An RF Module can be used as wireless link for communication between transmitter and receiver. If the rider is drunk the ignition gets automatically locked, and sends a message to the registered number with his current location. In case of an accident it will send a message through GSM along with location with the help of GPS module. The distinctive utility of project is fall detection; if the rider falls down from the bike it sends a message.

APA, Harvard, Vancouver, ISO, and other styles

17

Shahare, Bhavesh, Shivani Chawde, Rakesh Gudafwar, Harshada Pal, Purvi Bobade, and Shyam Bawankar. "IoT based Smart Motor Cycle Helmet." March 2021 3, no. 1 (February 22, 2021): 15–22. http://dx.doi.org/10.36548/jei.2021.1.002.

Full text

Abstract:

The main purpose of this paper is to urge the two wheeler motor cycle riders to wear a helmet. In India, most of the death cases occur due to the two wheeler accidents. In most of the cases, rider suffers head injuries, which leads to death. In order to reduce the number of accidents, this research work proposes a smart helmet, which will be very useful for the two-wheeler riders. In general, two-wheeler accidents occur due to the high consumption of alcohol by the rider. The proposed smart helmet ensures the safety of the rider, while driving on the road. The proposed model comprises of an alcohol detection, accident identification, location tracking, hands-free device, solar powered module and fall detection. The proposed smart helmet will be connected to the ignition. Henceforth, if the rider does not wear a helmet, the ignition will not be triggered to start the two-wheeler. For handling an emergency situation, GSM module is used to send an alert message to the registered mobile number.

APA, Harvard, Vancouver, ISO, and other styles

18

Alur, Anita. "Smart Helmet using Arduino UNO." International Journal for Research in Applied Science and Engineering Technology 7, no. 9 (September 30, 2019): 1040–43. http://dx.doi.org/10.22214/ijraset.2019.9149.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Sasikala, A. "Smart Helmet for Accident Detection." International Journal for Research in Applied Science and Engineering Technology 8, no. 6 (June 30, 2020): 674–77. http://dx.doi.org/10.22214/ijraset.2020.6110.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Vinayak Naik, Tadvidi. "Video Processing Based Smart Helmet." International Journal for Research in Applied Science and Engineering Technology V, no. IV (March 25, 2017): 144–47. http://dx.doi.org/10.22214/ijraset.2017.4030.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Anandh, B. A. "Smart Helmet System for Motorcyclists and Advanced Emergency Assistance using IoT." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 20, 2021): 1284–87. http://dx.doi.org/10.22214/ijraset.2021.35166.

Full text

Abstract:

This paper proposes a low-cost smart helmet system using GPS and GSM modules which can give information about the location to the emergency number when the biker met with the accident. Wearing a helmet can reduce fatality and save a life. To ensure safety one must wear a helmet and for those, we can give additional safety by making the helmet smart. Many lives can be saved by treating them as soon as possible, this crucial phase of time can be achieved by the use of this smart helmet accident detection and notification. A wise helmet will be a great idea that makes motorcycle driving safer than before. In this paper, the GSM module and GPS are enclosed in the helmet which can provide the correct location of the accident with help of IoT application to the victim’s family and concerned authorities. This proposed system used to avoid the delay in giving the proper first aid to the victim which prevents the major cause of death after an accident.

APA, Harvard, Vancouver, ISO, and other styles

22

Kumar, Dr G. Rajiv Suresh, Priyadharshini A, and Firoz B. "Design and Development of Smart Helmet." IJARCCE 8, no. 2 (February 28, 2019): 242–44. http://dx.doi.org/10.17148/ijarcce.2019.8246.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Deshpande, Ameya, and Sudeshna Roy. "Modern Helmet with Smart Utility Features." International Journal of Computer Sciences and Engineering 7, no. 5 (May 31, 2019): 1593–95. http://dx.doi.org/10.26438/ijcse/v7i5.15931595.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

A. Momin, Ayesha, Jyoti M. Aldale, Sajida M. Pinjari, and Amruta B. Kale. "SMART HELMET WEAR FOR DRIVER SAFETY." International Journal of Research in Engineering and Technology 6, no. 11 (November 15, 2017): 17–21. http://dx.doi.org/10.15623/ijret.2017.0611004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Sengupta, Tuhin, U. Snekhalatha, and T. Rajalakshmi. "SHAKO—Smart Helmet Arduino Kindled Optimization." IOP Conference Series: Materials Science and Engineering 912 (September 12, 2020): 062023. http://dx.doi.org/10.1088/1757-899x/912/6/062023.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Yadav, Neelam, and Sunil K. Singh. "Implementation of Smart Helmet for Bikers." International Research Journal on Advanced Science Hub 3, Special Issue ICARD 3S (March 26, 2021): 135–39. http://dx.doi.org/10.47392/irjash.2021.081.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Torad, Mohamed A. "Smart helmet using internet of things." International Journal of Reconfigurable and Embedded Systems (IJRES) 10, no. 2 (July 1, 2021): 90. http://dx.doi.org/10.11591/ijres.v10.i2.pp90-98.

Full text

Abstract:

The rate of death relative to the size of the world's population has remained constant, according to the world health organization (WHO). WHO targets to minimize the ratio of road death to the half by 2022. This paper discusses a way for accident detection and notification which can decrease this ratio. Piezoelectric sensors used inside a helmet to detect degree of trauma which interpret into electrical signal that used to determine if trauma is serious or not based on predetermined threshold. This trauma can be a result of any type of accidents. So, a detection system established to request immediate help from relatives and emergency department by sending SMS to them contains the longitude and latitude. In normal mode helmet can work as tracking device for the relatives.

APA, Harvard, Vancouver, ISO, and other styles

28

Chintawar, Kshiti. "IoT: Smart Helmet for Bike Rider." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 4809–14. http://dx.doi.org/10.22214/ijraset.2021.35900.

Full text

Abstract:

Road accidents are increasing in our country, most of them are caused due to negligence of not wearing the helmet, drink and drive and over speeding which many leads to death or severe injuries due to lack of medical treatments provided to the injured person at right time. This motivates us to think about making a system which ensures the safety of biker, by making it mandatory to wear the helmet by the rider to prevent head injuries that may lead to immediate death, prevent drink and drive scenario by testing the breath of the rider before the ride, prevent over speeding and rash riding by alerting the rider and also to provide proper medical attention, if met with an accident by notifying the concerned person with the location details.

APA, Harvard, Vancouver, ISO, and other styles

29

P N, Sharath. "Smart Helmet an Aid to Save Rider by Using Microcontroller." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 25, 2021): 2091–95. http://dx.doi.org/10.22214/ijraset.2021.36833.

Full text

Abstract:

A smart helmet is a type of protective headgear used by the rider which makes bike driving safer than before. To Provide safety for the rider, the rider has to wear the helmet. By using advanced features like alcohol detection, accident identification, location tracking, fall detection. It is a hands free device. This is not only a smart helmet but also a feature of a smart bike. It is compulsory to wear the helmet, without which the ignition switch cannot turn ON. An RF Module is used as an wireless link for communication between receiver and transmitter. The ignition gets locked automatically when the rider is drunk , and sends a message to the registered number with his current location. If accident occurs it will send a message through GSM along with location with the help of GPS module. The distinctive utility of project is fall detection; if the rider falls down from the bike it sends a message to the registered mobile number.

APA, Harvard, Vancouver, ISO, and other styles

30

Chorge, Snehal, Hemkedar Kurale, Sonali Deshmukh, and Deepa Mane. "SMART HELMET: SMART SOLUTION FOR BIKE RIDERS AND ALCOHOL DETECTION." International Journal of Advanced Research 4, no. 11 (November 30, 2016): 1891–96. http://dx.doi.org/10.21474/ijar01/2289.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Et.al, Seong-Sil Jeong. "A Study on A Smart Firefighting Helmet Capable Of Video / Audio Transmission Based On The Firefighting Standard Disaster System." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (April 10, 2021): 493–97. http://dx.doi.org/10.17762/turcomat.v12i6.1885.

Full text

Abstract:

In this paper, in order to effectively respond and rescue lives in a disaster scene, the site and the command center design a smart firefighting helmet to exchange information and make accurate decisions, and propose an algorithm that can transmit and receive video and audio through it. do. Recently, there have been cases in which a rapid response has not been made due to the situation inside the disaster site and delay in communication. So, we propose a design and communication algorithm of a smart firefighting helmet that can transmit voice and video using a firefighting helmet and communicate without a separate radio operation.

APA, Harvard, Vancouver, ISO, and other styles

32

Von Rosenberg, Wilhelm, Theerasak Chanwimalueang, Valentin Goverdovsky, David Looney, David Sharp, and Danilo P. Mandic. "Smart Helmet: Wearable Multichannel ECG and EEG." IEEE Journal of Translational Engineering in Health and Medicine 4 (2016): 1–11. http://dx.doi.org/10.1109/jtehm.2016.2609927.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

., Mangesh Jadhawar. "SMART HELMET SAFETY SYSTEM USING ATMEGA 32." International Journal of Research in Engineering and Technology 05, no. 05 (May 25, 2016): 287–89. http://dx.doi.org/10.15623/ijret.2016.0505052.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Altamura, Angelo, Francesco Inchingolo, Gianvito Mevoli, and Pietro Boccadoro. "SAFE: Smart helmet for advanced factory environment." Internet Technology Letters 2, no. 2 (January 8, 2019): e86. http://dx.doi.org/10.1002/itl2.86.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Kumar Kar, Sanjaya, D. A. Anshuman, Hemank Raj, and Preetinder Pall Singh. "New design and fabrication of smart helmet." IOP Conference Series: Materials Science and Engineering 402 (September 20, 2018): 012055. http://dx.doi.org/10.1088/1757-899x/402/1/012055.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Narayan, Niket. "IoT based Smart Helmet for Industrial Workers." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (August 31, 2021): 1295–308. http://dx.doi.org/10.22214/ijraset.2021.37568.

Full text

Abstract:

Abstract: Safety is very important in every workplace, but very often we hear about accidents in factories industries causing loss of life. The labours and workers working in any factory, industries, construction site or mine is vulnerable to accidents and therefore they should be with safety guards properly. In most of the accidents, number of deaths or severe injuries is maximized because the labours and worker are not wearing safety equipmentor wearing low grade safety equipment. Working environment hazards include radiation leakage, fall due to suffocation, poisoning gas leakage and gas explosion. Hence air quality and hazardous event detection is very important factorin industry. In order to achieve those safety measures, the proposed system provides wireless sensors network for monitoring real time situation of working environment from monitoring station. Keywords: Industries; Helmet; Cloud Computing; ThingSpeak Internet of Things; Sensors; Ubiquitous Sensing

APA, Harvard, Vancouver, ISO, and other styles

37

Vinay Kulkarni, Aashay, Abhinav Krishna Baroorkar, and Sumedh Sandeep Lele. "SMART SOLUTIONS FOR ENHANCING ROAD SAFETY AND BETTER RIDING EXPERIENCE USING IOT." International Journal of Advanced Research 9, no. 02 (February 28, 2021): 824–30. http://dx.doi.org/10.21474/ijar01/12520.

Full text

Abstract:

This paper aims at providing solutions that would improve safety and riding experience. To ensure that the rider uses a helmet, the bike wont start unless the rider is wearing the helmet. The paper also proposes a solution to get the live location of the rider as well as using this location to disable the horn in no honking zones. With the help of different sensors mounted on the bike and helmet, the proposed system can detect an accident and inform emergency contact numbers. To further improve the efficiency of the entire system, solar power can be used.

APA, Harvard, Vancouver, ISO, and other styles

38

P, Dharani, Ganesh T, Gopinath V, and Sharmasth Vali Y. "Smart Safety Helmet for Bike Riders using IoT." International Research Journal of Multidisciplinary Technovation 2, no. 4 (July 30, 2020): 21–30. http://dx.doi.org/10.34256/irjmt2044.

Full text

Abstract:

According to the law of the Indian government as per section 129 of the motor vehicle act of 1988 briefly explains the motorcycle or two-wheeler rider is mandatory to wear the helmet while driving and the recent survey conducted on road accidents by the world health organization (WHO). This WHO organization has briefly mentioned the cause and the prevention of road accidents that are happened around the world. They also mentioned the highest death rate that took place in India and the survey also reported as per the rate 1.5 lakh of road death has been accounted for by each year approximately. The above article motivates us to develop a system that is capable of providing safety and precaution to the bike rider. We designed a system that is capable of detecting the rider is whether wearing the helmet or not. Then detecting if the rider has consumed alcohol or not, whether if these two conditions are yet satisfied then only the motor will ignite or else it will not ignite. In case an accident occurred, our system is capable of detecting the accident and its location approximately. We implanted the led strip indication in the helmet unit to reduce the percentage of an accident during night times.

APA, Harvard, Vancouver, ISO, and other styles

39

Wang, Changwon, Young Kim, Dae Gyeom Kim, Seung Hyun Lee, and Se Dong Min. "Smart Helmet and Insole Sensors for Near Fall Incidence Recognition during Descent of Stairs." Applied Sciences 10, no. 7 (March 26, 2020): 2262. http://dx.doi.org/10.3390/app10072262.

Full text

Abstract:

Stair falls on construction sites are leading causes of fatal injuries, and the dangers for workers are greater because they usually carry heavy loads. Nevertheless, there are very few studies related to stair falls among construction workers. The purpose of this study was to detect near fall incidence during stair descent and analyze the changes in weight bearing and center of pressure. A total of 10 healthy males participated in this study. Three experimental conditions were set up to analyze stair falls: natural descent (E1), weighted descent (E2), and near fall-simulated descent (E3). While walking down the stairs, subjects wore a three-axis accelerometer sensor attached to a Smart Helmet and a pair of textile pressure sensors (insole) placed inside Smart Shoes. The collected data were analyzed for: (1) whole body balance, (2) plantar pressure distribution, (3) head tilt pattern, and (4) conformity between the helmet and insole sensors. The results showed that our proposed smart helmet and smart shoes have relatively good performance in terms of classifying the weight-shifting patterns in the head and the feet during stair descent. The results of this study may be helpful in detecting near falls of workers on construction sites.

APA, Harvard, Vancouver, ISO, and other styles

40

Ko, Li-Wei, Yang Chang, Pei-Lun Wu, Heng-An Tzou, Sheng-Fu Chen, Shih-Chien Tang, Chia-Lung Yeh, and Yun-Ju Chen. "Development of a Smart Helmet for Strategical BCI Applications." Sensors 19, no. 8 (April 19, 2019): 1867. http://dx.doi.org/10.3390/s19081867.

Full text

Abstract:

Conducting electrophysiological measurements from human brain function provides a medium for sending commands and messages to the external world, as known as a brain–computer interface (BCI). In this study, we proposed a smart helmet which integrated the novel hygroscopic sponge electrodes and a combat helmet for BCI applications; with the smart helmet, soldiers can carry out extra tasks according to their intentions, i.e., through BCI techniques. There are several existing BCI methods which are distinct from each other; however, mutual issues exist regarding comfort and user acceptability when utilizing such BCI techniques in practical applications; one of the main challenges is the trade-off between using wet and dry electroencephalographic (EEG) electrodes. Recently, several dry EEG electrodes without the necessity of conductive gel have been developed for EEG data collection. Although the gel was claimed to be unnecessary, high contact impedance and low signal-to-noise ratio of dry EEG electrodes have turned out to be the main limitations. In this study, a smart helmet with novel hygroscopic sponge electrodes is developed and investigated for long-term usage of EEG data collection. The existing electrodes and EEG equipment regarding BCI applications were adopted to examine the proposed electrode. In the impedance test of a variety of electrodes, the sponge electrode showed performance averaging 118 kΩ, which was comparable with the best one among existing dry electrodes, which averaged 123 kΩ. The signals acquired from the sponge electrodes and the classic wet electrodes were analyzed with correlation analysis to study the effectiveness. The results indicated that the signals were similar to each other with an average correlation of 90.03% and 82.56% in two-second and ten-second temporal resolutions, respectively, and 97.18% in frequency responses. Furthermore, by applying the proposed differentiable power algorithm to the system, the average accuracy of 21 subjects can reach 91.11% in the steady-state visually evoked potential (SSVEP)-based BCI application regarding a simulated military mission. To sum up, the smart helmet is capable of assisting the soldiers to execute instructions with SSVEP-based BCI when their hands are not available and is a reliable piece of equipment for strategical applications.

APA, Harvard, Vancouver, ISO, and other styles

41

D, Hema. "Smart Helmet for Industrial Workforce - A Review Paper." International Journal for Research in Applied Science and Engineering Technology 7, no. 6 (June 30, 2019): 600–604. http://dx.doi.org/10.22214/ijraset.2019.6104.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Prabhu Deva Kumar, Seelam Vasavi Sai Viswanada, Shyam Akashe, and Vikram Kumar. "Advanced Control of Switching Ignition by Smart Helmet." International Journal of Image, Graphics and Signal Processing 10, no. 2 (February 8, 2018): 34–42. http://dx.doi.org/10.5815/ijigsp.2018.02.04.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Pathan, T. "Microcontroller Based Smart Helmet for Coal Miners Safety." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (April 30, 2018): 4677–83. http://dx.doi.org/10.22214/ijraset.2018.4768.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Lee, H., H. Yang, S. Myeong, and K. Lee. "Dual‐band MNG patch antenna for smart helmet." Electronics Letters 54, no. 19 (September 2018): 1101–2. http://dx.doi.org/10.1049/el.2018.6044.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Namayala, Phesto Peter. "Development of Smart Helmet Motor Cycles’ Embedded System." International Journal of Engineering Research and Advanced Technology 5, no. 7 (2019): 75–84. http://dx.doi.org/10.31695/ijerat.2019.3530.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Umam, Faikul, Hairil Budiarto, and Ach Dafid. "Smart Helmet Control System Using Heart Pulse Indicator." Journal of Physics: Conference Series 1569 (July 2020): 032079. http://dx.doi.org/10.1088/1742-6596/1569/3/032079.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

C, Priyanka, Priya Darshini C, Vinayak G. Shavi, and Sarvar Begum. "Two-Wheeler Safety System for Accident Prevention, Detection and Reporting." International Journal Of Engineering And Computer Science 7, no. 03 (March 3, 2018): 23680–82. http://dx.doi.org/10.18535/ijecs/v7i3.03.

Full text

Abstract:

The objective of this paper is to build a safety system which is integrated with the smart helmet and intelligent bike to reduce the probability of two-wheeler accidents and drunk and drive cases. The pressure sensor and the accelerometer sensor checks if the person is wearing the helmet or not. Alcohol sensors detects the alcoholic content in the rider’s breath. If the rider is not wearing the helmet or there is alcohol content found in rider’s breath, the bike remains off. The bike will not start until the rider wears the helmet and there is no alcoholic content present stating that rider did not consume alcohol. When the rider crashes, helmet hits the ground and sensors detect the motion and tilts of helmet and reports the occurrence of an accident and sends information of the location of accident to the family members of the rider and the emergency contact numbers.

APA, Harvard, Vancouver, ISO, and other styles

48

Charde, Aishwarya. "A Smart and Secured Helmet for Coal Mining Workers." International Journal for Research in Applied Science and Engineering Technology 8, no. 2 (February 29, 2020): 673–75. http://dx.doi.org/10.22214/ijraset.2020.2103.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Dhanalakshm, G. i. "Smart Helmet for Accident Prevention using Shortest Path Algorithm." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (March 31, 2019): 1444–47. http://dx.doi.org/10.22214/ijraset.2019.3266.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

S, Therese Sijiya, and P. Benesh Selva Nesan. "SMART HELMET TO DRIVER ENVIRONMENT INTERACTION SYSTEM FOR MOTORCYCLES." International Journal of Engineering Applied Sciences and Technology 04, no. 11 (April 30, 2020): 635–38. http://dx.doi.org/10.33564/ijeast.2020.v04i11.109.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!