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Journal articles on the topic 'Wireless helmets'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

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

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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

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2

Jabade, Vaishali. "Safety Helmet for Miners." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 3919–25. http://dx.doi.org/10.22214/ijraset.2024.60800.

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Abstract: The safety helmets basically aim at safety of miners reducing the risks of accidents. It also highlights the hazardous environments of mining and potential dangers that the workers face while working in mines. Safety helmets will be containing infrared sensors which keep track of the environment of the miner. It highlights the inherent risks miners face, including poor visibility, potential collisions, and hazardous conditions. The helmets are capable of alerting the miners from dangers. Infrared sensors can sense the heat signatures and obstacles in real-time resulting in spatial aw

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Li, Bin, Bo Li, and Hong Ze Yang. "Design and Study of the Initial Probe for Multi-Function Fire Helmet." Key Engineering Materials 458 (December 2010): 87–92. http://dx.doi.org/10.4028/www.scientific.net/kem.458.87.

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Fire helmets are important personal protective equipment for firemen in fire-fighting and rescue work, and the design of its function, structure, shape, etc. is directly related to the personal safety of the firemen. The development of the fire helmet with the modernized multi-function has very important significance. Through a study for the current research status and characteristics of fire helmets products in domestic and abroad, and looked into the developing trends of the fire helmet. Based on safety ergonomics and product system design method , a design program of multi-function fire hel

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Li, Bo, Bin Li, and Hong Ze Yang. "Preliminary Studies on the Functional and Structural Design of Forest Fire Helmet." Advanced Materials Research 228-229 (April 2011): 605–9. http://dx.doi.org/10.4028/www.scientific.net/amr.228-229.605.

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In order to improve the performance of forest fire protection equipment, this paper proposes a new design concept of modern forest fire helmet. The scheme combines the functions of infrared thermal imaging, wireless communication and emergency oxygen making, which not only meets the security requirements in firemen’s present working, but also accords with the development of fire helmets at home and abroad. This helmet adopts the design conception of integration structurally, its weight and operation difficulty are both reduced, at the same time, accords with the Man-Machine Engineering. Moreov

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Gehlot, Anita, Rajesh Singh, Piyush Kuchhal, et al. "WPAN and IoT Enabled Automation to Authenticate Ignition of Vehicle in Perspective of Smart Cities." Sensors 21, no. 21 (2021): 7031. http://dx.doi.org/10.3390/s21217031.

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Currently, two-wheelers are the most popular mode of transportation, driven by the majority the people. Research by the World Health Organization (WHO) identifies that most two-wheeler deaths are caused due to not wearing a helmet. However, the advancement in sensors and wireless communication technology empowers one to monitor physical things such as helmets through wireless technology. Motivated by these aspects, this article proposes a wireless personal network and an Internet of Things assisted system for automating the ignition of two-wheelers with authorization and authentication through

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Birli, Joseph. "Wireless communication systems for masks or helmets." Journal of the Acoustical Society of America 122, no. 5 (2007): 2505. http://dx.doi.org/10.1121/1.2801802.

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Priyusha, C. Krishna. "IoT-Enabled Smart Helmet for Bike Safety." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–7. https://doi.org/10.55041/isjem03339.

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ABSTRACT - Motorcycle accidents are often caused by riders neglecting safety measures, such as not wearing helmets, riding under alcohol, or using mobile phones. We propose a Smart Helmet System integrated with IoT and wireless communication to address this issue to enforce rider safety. The system consists of a helmet unit and a bike unit. The helmet has sensors to detect helmet usage, alcohol consumption, and mobile phone activity. If any violation is detected, the bike’s ignition remains disabled. Additionally, if the rider removes the helmet, drinks alcohol, or uses a phone mid-ride, a con

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Kalli, Mr Vinod S. "A Review on Smart Helmet for Enhance Safety." International Journal for Research in Applied Science and Engineering Technology 12, no. 12 (2024): 116–19. https://doi.org/10.22214/ijraset.2024.65719.

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Smart helmet technology integrates advanced sensors, communication systems, and real-time processing capabilities to enhance safety for motorcyclists. This innovative system is designed to detect accidents and provide immediate emergency response. Equipped with sensors such as accelerometer, gyroscopes, and GPS modules, the helmet continuously monitors motion, impact, and location. In the event of an accident, the system automatically identifies the severity of the impact and triggers alerts. A real-time notification, including the rider’s location, is sent to emergency services or per-defined

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Maneesha, Krishnan (Associate professor) Surya S(B-Tech scholar) Swathy S(B-Tech scholar) &. Krishna A(B-Tech scholar). "SMART HELMET." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY NACETEC' 19 (April 6, 2019): 128–34. https://doi.org/10.5281/zenodo.2631613.

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Helmets are said to be the first line of defense against injuries created by road accidents for motorists. About 70-85% motorists deaths happen in India because of not wearing a helmet. It is not possible to control the occurrences of accidents, but by taking precautions life-threatening injuries can be avoided. Thus, using a different perspective, this  project provides safety with luxurious and intelligent features using a smart helmet<strong>. </strong>Two modules, one on the helmet and bike each will work in synchronization, to ensure that the biker is wearing the helmet. A Zig-bee mo

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Rowson, Steven, Jonathan G. Beckwith, Jeffrey J. Chu, Daniel S. Leonard, Richard M. Greenwald, and Stefan M. Duma. "A Six Degree of Freedom Head Acceleration Measurement Device for Use in Football." Journal of Applied Biomechanics 27, no. 1 (2011): 8–14. http://dx.doi.org/10.1123/jab.27.1.8.

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The high incidence rate of concussions in football provides a unique opportunity to collect biomechanical data to characterize mild traumatic brain injury. The goal of this study was to validate a six degree of freedom (6DOF) measurement device with 12 single-axis accelerometers that uses a novel algorithm to compute linear and angular head accelerations for each axis of the head. The 6DOF device can be integrated into existing football helmets and is capable of wireless data transmission. A football helmet equipped with the 6DOF device was fitted to a Hybrid III head instrumented with a 9 acc

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Matondang, Mhd Hafizh Azman, Ahmad Asadel, Daris Fauzan, and Anwar Rudi Setiawan. "Smart Helmet for Motorcycle Safety Internet of Things Based." Tsabit Journal of Computer Science 1, no. 1 (2024): 35–39. http://dx.doi.org/10.56211/tsabit20.

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IoT (Internet of Things) is a concept that aims to utilize continuously connected internet connectivity, there are several IoT capabilities including data sharing, remote control and so on. One use that can be used is for security purposes, such as for safety riding , namely a Smart Helmet. The emergence of cases of motorbike theft and robbery requires vehicle owners to be more careful and increase their vigilance. Much has been done to prevent motorbike theft and robbery, for example using multiple locks and installing alarms on vehicles, but unfortunately some of these methods cannot complet

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Magdum, Madhura, Seema Somawanshi, Anjali Khivansara, Shubham Sawant, and Dr Rupali Chopade. "Smart Helmet." International Journal for Research in Applied Science and Engineering Technology 10, no. 9 (2022): 1106–13. http://dx.doi.org/10.22214/ijraset.2022.46790.

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Abstract: Helmet safety is a type of protective headgear used by workers and riders, which makes the work safer than before. The main goal of our project is risk detection, awareness, and prevention. This protective helmet makes the user feel comfortable and provides maximum protection and security. Many lives could have been saved if paramedics could have obtained the accident information and arrived on time at the scene. To solve these current problems we create a protective helmet that provides the best solution. The aim of our project is to design a smart and low-cost helmet that can preve

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Babu, Dr P. Sankar, K. Meenendranath Reddy, S. Vijaya Lalitha, P. Naga Timmaiah, and V. Srikanth. "Smart Helmet with Alcohol Sensing and Bike Authentication for Riders." Journal of Energy Engineering and Thermodynamics, no. 23 (April 15, 2022): 1–7. http://dx.doi.org/10.55529/jeet.23.1.7.

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An unavoidable, unplanned external activity at a certain time and location is what we call an accident. The primary cause of vehicular mishaps is carelessness on the part of drivers. The authority has mandated that all riders must wear helmets and that motorists must not drink and ride. The bikers continue to disobey the regulations. Reckless on the part of the rider is to blame for these incidents. When a motorcyclist doesn't wear a helmet, they risk serious head trauma that might prove fatal. One proposed solution is a "smart helmet" that can detect both the wearer's head protection and the

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Rusdi, Muhammad, Yuvina, Fitria Nova Hulu, M. Sukri Habibi Daulay, and Riza Ria Wirasari. "Worker Safety Monitoring System in the Telecommunications Industry Based on the Internet of Things." International Journal of Research in Vocational Studies (IJRVOCAS) 4, no. 4 (2025): 67–72. https://doi.org/10.53893/ijrvocas.v4i4.383.

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Occupational Health and Safety (OHS) is a protective measure aimed at ensuring workers remain safe and healthy while performing their duties in the workplace. OHS planning aims to create a comprehensive occupational safety and health management system within the workers' scope. The telecommunications industry is one of the sectors that implements OHS principles. Workers in the telecommunications industry face higher occupational accident risks due to direct interaction with heavy objects, sharp materials, electricity, and working at heights. This research aims to design a smart helmet prototyp

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M, Baritha Begum, Malaisamy K, Vishvamaharaja, Sethuramalingam, Kumar Tharun, and Shabarise Shri. "Real-Time Risk Detection in Industrial Settings Using IoT-Based Sensor Networks." International Journal of Multidisciplinary Research Transactions 6, no. 5 (2024): 90–101. https://doi.org/10.5281/zenodo.11180861.

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Industrial environments require robust systems to detect and mitigate safety risks in real-time. This paper presents an IoT-based risk detection system that uses a network of sensors—temperature, gas, fire, smoke, and flow—to monitor industrial sites. An Arduino NANO microcontroller processes the sensor data and triggers wireless alerts when anomalies are detected. Thing Speak integration allows for remote monitoring and data analysis. The system also employs video processing with YOLOv3 to ensure safety compliance, such as checking if workers are wearing helmets. Non-Maximum Suppr

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Gao, Yuan. "Preliminary Design and Research of Wearable Devices for Parkinson 's Disease." Highlights in Science, Engineering and Technology 39 (April 1, 2023): 575–80. http://dx.doi.org/10.54097/hset.v39i.6591.

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A typical neurodegenerative condition is Parkinson's disease. Since no medication therapy will halt the progression of the disease, patients will eventually lose the ability to function and live a normal life. Generally, the diagnosis of Parkinson's disease mainly depends on the patient's Electroencephalogram(EEG) combined with Magnetic resonance imaging (MRI) and Computed Tomography(CT) images. The disadvantage is that the cost of monitoring and maintenance of testing equipment is relatively high. And large, expensive equipment such as MRI and CT cannot be transported over long distances. Now

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Raut, Shital, Mohinee Jadhav, Ishita Kadam, and Neha Kadam. "Smart Helmet." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 925–29. http://dx.doi.org/10.22214/ijraset.2022.48066.

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Abstract: The usage of a smart helmet, a sort of protective headgear, increases the rider's level of safety when operating a motorcycle. This helmet's primary function is to keep the rider safe. Advanced features like fall detection, accident identification, location monitoring, and alcohol detection can be used to accomplish this. As a result, it doubles as a smart bike feature in addition to being a smart helmet. The ignition switch cannot turn ON without the helmet being worn, hence it is required. An RF Module can be used as a wireless link for transmission and reception. When a rider is i

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Rudrawar, Mangesh, Shivam Sharma, Madhuri Thakur, and Vivek Kadam. "Coal Mine Safety Monitoring and Alerting System with Smart Helmet." ITM Web of Conferences 44 (2022): 01005. http://dx.doi.org/10.1051/itmconf/20224401005.

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Traditional monitoring systems in coal mines are difficult to install, hazardous, and difficult to power. Because of the complexity of the mining environment and the wide range of operations performed in coal mines, it is vital to monitor and maintain the parameters in the background t increase the efficiency and safety of mineworkers. As a result, traditional monitoring methods cannot be relied on to ensure coal workers’ safety. This research represents a ZigBee-based wireless monitoring system using a smart helmet. The presented wireless monitoring system is capable of detecting and transmit

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G.Ravi, Kumar*1 &. B. Keerthi Reddy2. "INTERNET OF THINGS BASED AN INTELLIGENT HELMET FOR WIRELESS SENSOR NETWORK." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 7, no. 6 (2018): 88–92. https://doi.org/10.5281/zenodo.1281652.

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The main aim of the paper is to develop a smart helmet for mining industry workers. The problem addressed in this paper was the improvement of a mining helmet in order to ensure more safety awareness between miners. When working with noisy equipment, being aware of one’s surroundings can sometimes be challenging. In the mining trade miners tend to get rid of their safety gear because the gear is too significant, heat or uncomfortable to work with. So this system is developed to intimate the authorities in critical conditions. To overcome the above problem, we are developing a smart helme

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Khattar, Prerna. "A Smart Helmet for Secure Monitoring of Miner Data to Improve Safety." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 2812–18. http://dx.doi.org/10.22214/ijraset.2022.41393.

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Abstract: In recent times, mining has been a dangerous activity taking a severe toll on the lives of miners. Underground mining hazards include gas poisoning, suffocation, roof collapse, and gas explosion. This project aims to develop a smart helmet based on Zigbee wireless technology to build wireless sensor networks for real-time surveillance and monitoring hazardous gases and abnormal levels of temperature and humidity in the mine. These three parameters are continuously being detected using the gas sensor(s), temperature and humidity sensor, and if the predefined limit is crossed, a buzzer

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Dr., Girish H., C. Divakara B, Kumar L. Tilak, K. Bindu, N. Keerthy, and K. R. Suma. "INTERNET OF THINGS BASED SMART HELMET FOR ALERTING ACCIDENT." Journal of Biomechanical Science and Engineering September, eme 1 (2023): 16–23. https://doi.org/10.5281/zenodo.8385082.

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<strong>Abstract</strong> This article is about a smart helmet, a novel idea that increases the safety of motorcycle riding. In order to stop vehicles from starting while the driver is not wearing a helmet, this technique was developed. or is inebriated. Furthermore, with the help of a GPS GSM-based tracking system, it detects accidents and sends SMS notifications to particular persons showing the bike's location and speed just before the collision, assisting ambulances in arriving at the precise spot. We want to integrate all of the sensors into the helmet, which will wirelessly transmit

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P. L, Seetha. "Wireless Advanced Helmet and Accidental Free Transportation System." International Journal for Research in Applied Science and Engineering Technology 6, no. 5 (2018): 518–26. http://dx.doi.org/10.22214/ijraset.2018.5085.

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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 (2021): 2091–95. http://dx.doi.org/10.22214/ijraset.2021.36833.

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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 automaticall

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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.

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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 t

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Miranda, Leonardo N. Jr, Lean Jan Carlo T. Oseña, and Jen Aldwayne B. Delmo. "Helmet for Road Hazard Warning and Wireless Motorcycle Authentication." IJASC 1, no. 1 (2019): 33–40. http://dx.doi.org/10.22662/ijasc.2019.1.1.025.

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Zhuang, Yiyang, Taihao Han, Qingbo Yang, et al. "A Fiber-Optic Sensor-Embedded and Machine Learning Assisted Smart Helmet for Multi-Variable Blunt Force Impact Sensing in Real Time." Biosensors 12, no. 12 (2022): 1159. http://dx.doi.org/10.3390/bios12121159.

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Early on-site diagnosis of mild traumatic brain injury (mTBI) will provide the best guidance for clinical practice. However, existing methods and sensors cannot provide sufficiently detailed physical information related to the blunt force impact. In the present work, a smart helmet with a single embedded fiber Bragg grating (FBG) sensor is developed, which can monitor complex blunt force impact events in real time under both wired and wireless modes. The transient oscillatory signal “fingerprint” can specifically reflect the impact-caused physical deformation of the local helmet structure. By

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Said, Nugmanov, Khudaybergenov Timur, and Cha JaeSang. "CONCEPTION OF SMART IOL HELMET IN SMART FACTORY." COMPUSOFT: An International Journal of Advanced Computer Technology 08, no. 11 (2019): 3472–76. https://doi.org/10.5281/zenodo.14912012.

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Smart devices are coming to our world and become a part of modern life for many people regardless of gender, ethnicity, social status, and working sphere. This paper introduces the perspectives and possibilities of using Optical Wireless Communication (OWC) technology in the production field, as an element of individual protection suit. The current work investigates the use of LED light to act as a Li-Fi source to transmit and receive data. The proposed schemes of suggested device and application constellations as a part of Smart Factory are described. 

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Degoankar, Kishori. "Smart Accident Prevention System Using Wireless Technology." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 3632–35. http://dx.doi.org/10.22214/ijraset.2024.60454.

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Abstract: This research presents a Smart Helmet integrating tilt, gyro, touch, RF433, I2C, LCD, Arduino, LED, and buzzer technologies. Tilt and gyro sensors monitor head movements for accident prevention. A touch sensor allows hands-free control, while RF433 enables wireless communication. I2C ensures seamless sensor integration. Arduino manages data processing, safety algorithms, and device control. The LCD displays critical information, and LED and buzzer provide real-time alerts. The system enhances user safety, communication, and situational awareness in industrial, sports, and emergency c

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Rokade, Harshada R. "IOT Based Coal Mine Safety Monitoring and Alerting Smart Helmet." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 2556–61. https://doi.org/10.22214/ijraset.2025.70819.

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"Coal mining remains one of the most hazardous occupations, with workers exposed to numerous safety threats such as toxic gases, high temperatures, low visibility, and potential structural collapses. This research presents the design and development of a smart helmet aimed at enhancing coal mine safety through real-time environmental monitoring and communication capabilities. The helmet integrates sensors for gas detection (e.g., methane, carbon monoxide), temperature and humidity monitoring, and an accelerometer for fall or impact detection. It also features wireless data transmission to aler

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Lund, John, Anthony Paris, and Jennifer Brock. "Mouthguard-based wireless high-bandwidth helmet-mounted inertial measurement system." HardwareX 4 (October 2018): e00041. http://dx.doi.org/10.1016/j.ohx.2018.e00041.

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Bhavana, T., B. Dharma Teja, P. Akshitha, and M. Sri Harsha. "IOT Based Smart Helmet for Coal Mining Tracking." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43657.

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Energy production remains heavily reliant on the coal mining industry, yet this sector poses significant occupational hazards to miners, including exposure to toxic gases, temperature, air pollution and various accidents. The IoT enabled Smart Helmet for Coal Mine Workers represents an innovative solution that was conceived and implemented in this research study. The helmet is equipped with a suite of sensors, such as temperature, humidity, and gas sensors, designed to detect harmful substances and environmental changes. These sensors continuously collect real-time data, which is transmitted w

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Imtiaz, Faisal. "AR-SafeHelmet: Enhancing Motorcycle Safety Through Augmented Reality and Sensor Integration." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50791.

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In this article, a design and the development of an Augmented-Reality (AR)-based Smart Helmet system is proposed to enhance the safety and health level of motorcycle riders. The helmet is equipped with several sensing units, such as an MQ-3 alcohol sensor for breath alcohol concentration measurement, a Photoplethysmography (PPG) sensor for the measurement of heart rate, and an Inertial Measurement Unit (IMU) for crash or fall detection. An ESP32 microcontroller onboard processes real-time sensor data, and a Raspberry Pi 3 B+ processes the data. and sends alerts to an AR visor, readable by a ri

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

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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 ex

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Deepali S. Jadhav. "IoT Based Smart Helmet for Coal Mining and Safety Monitoring System." Communications on Applied Nonlinear Analysis 32, no. 2 (2024): 195–201. http://dx.doi.org/10.52783/cana.v32.1736.

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Energy production still depends heavily on the coal mining sector, but doing so comes with a number of occupational risks for miners, such as exposure to poisonous gases, cave-ins, and accidents. The IoT-based Smart Helmet for Coal Mine Workers is a creative solution that was developed and put into use in this research study. It has a number of sensors, including, temperature and humidity sensors, gas sensors for identifying dangerous substances, and other types. These sensors continually gather real-time data and send it via a wireless network to a centralised control system. The design, feat

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BHOSALE, GAURAV, and SNEHAL DEOKATE. "INTELLIGENT HELMET SAFETY SYSTEM FOR MINE WORKERS." IJIERT - International Journal of Innovations in Engineering Research and Technology 4, no. 3 (2017): 32–36. https://doi.org/10.5281/zenodo.1461231.

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<strong>This project proposed an embedded system for mine worker�s safety purpose using ARM7.A smart helmet has been developed that is able to detection of hazardous events in the mines industry. In the development of helmet,we have considered the four main types of hazards such as air quality,temperature and humidity and smoke detection. The first is the level of the hazardous gases such as methane,butane,etc. for which MQ4 gas sensor is used. The second hazardous level is a temperature to measure temperature LM35 is used .Third level is humidity in the mine,to measure humidity HSM - 20G is u

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Xu, Wei Ming, Lin Hai Wei, and Geng Feng Wang. "Positioning Method for Underwater Target by Sea-Surface Wireless Sensor Networks." Advanced Materials Research 488-489 (March 2012): 1473–79. http://dx.doi.org/10.4028/www.scientific.net/amr.488-489.1473.

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To solve the precise positioning issue of underwater maneuver targets (UMTs), based on sea-surface wireless sensor networks (S2WSN) technique, this paper proposes a new positioning algorithm without exterior satellite-based or earth-based wireless navigation information as well as underwater space-time datum. The measure equations of UMT’s positioning are assembled by combining the relative radio ranges among ships with the angles of arrival from UMT. Monte Carlo simulation demonstrates that the bias of the proposed algorithm, in which the weight of heterogeneous information is adaptively adju

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Zheng, Jianjia, Shuaiyuan Yang, Fukang Duan, and Songyu Jiang. "A Networked Novel Smart Helmet for Human Health Monitoring." Journal of Computing and Electronic Information Management 16, no. 3 (2025): 12–16. https://doi.org/10.54097/7pt00469.

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This paper designs a networked novel smart helmet for human health monitoring. By integrating a multi-sensor component (heart rate sensor module, body temperature monitoring module, and Beidou dual positioning module, etc.) and combining it with wireless network transmission technology, it has realized the instant feedback and cloud management functions of physiological data and spatial information. This device can not only continuously track the vital signs parameters of the wearer such as heart rate and body temperature but also dynamically capture environmental variables such as movement tr

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Elabd, Rania H., Maged M. Darwish, Hazem H. Alshamekh, et al. "IOT Smart Helmet System for Delivery Rider Safety." Journal of Engineering Research and Reports 27, no. 6 (2025): 236–45. https://doi.org/10.9734/jerr/2025/v27i61541.

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This paper introduces Helmify, an innovative IoT-based smart helmet system meticulously designed to enhance the safety and operational efficiency of delivery drivers, particularly those serving small to medium-sized enterprises. The key methodological approach of Helmify lies in its holistic integration of real-time, sensor-based safety monitoring (MPU-6050 for fall detection, Force Sensitive Resistor (FSR) for helmet compliance) with GPS-enabled logistics management (via smartphone-based location tracking and order updates) and immediate alert propagation across a rider's dedicated Android mo

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V, Dhananjayan. "An IOT-Based Smart Helmet for Riding Security and Emergency Notification." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 5479–87. https://doi.org/10.22214/ijraset.2025.71456.

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Abstract: This project is designed to enhance rider safety by implementing a smart helmet system equipped with real-time monitoring and accident detection capabilities. The smart helmet integrates a range of sensors and modules that collectively work to ensure the rider’s well-being while on the road. At the core of the system is the ESP32 microcontroller, which serves as the brain of the helmet. It handles the data collected from various sensors, processes it, and manages communication with external devices via built-in Wi-Fi and Bluetooth modules. The ESP32 ensures fast and efficient data ha

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Katkar, Anjali Rameshwar, Renuka Prabhakar Katkar, Dipali Macchindra Tajane, Prof Umesh Balkishan Phiske, and Dr B. E. Shinde. "IOT Based Mining, Tracking and Worker Safety Helmet." International Journal for Research in Applied Science and Engineering Technology 12, no. 10 (2024): 430–33. http://dx.doi.org/10.22214/ijraset.2024.64538.

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Abstract: This project addresses a cost-effective, flexible solution of underground mine workers safety. A module of MEMS and temperature-based sensors are used for underground environment monitoring and automating progression of measurement data through IOT communication technique is proposed with high accuracy, smooth control and reliability. Arduino microcontroller is used for collecting data and making decision, based on which the mine worker is informed through server. Sensor data transforms into digital signal and effectively communicate wirelessly with the ground control centre computer

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Hernandez-Navarro, Asaf J., Gerardo Ortiz-Torres, Alan F. Pérez-Vidal, et al. "Design, Manufacturing, and Electroencephalography of the Chameleon-1 Helmet: Technological Innovation Applied for Diverse Neurological Therapies." Applied System Innovation 8, no. 2 (2025): 56. https://doi.org/10.3390/asi8020056.

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Brain activity plays a fundamental role in science and technology, particularly in the advancement of cognitive process therapies. Gaining a deeper understanding of brain function can contribute to the development of more effective therapeutic strategies aimed at enhancing cognitive performance and mental well-being. Advances in technological innovation in the health sector have allowed the creation of portable wireless electroencephalogram (EEG) devices, which make recordings in contexts outside the laboratory or clinical area. This work aims to design, manufacture, and acquire data on the Ch

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Kr.Mittal, Ayush, Anamika Bhatia, and Abhishek Kumar Mittal. "System to Prevent Helmet Theft and Wireless Monitoring of Health Status of the Bike." International Journal of Computer Applications 67, no. 21 (2013): 11–15. http://dx.doi.org/10.5120/11518-7270.

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Hamza, Ali, Muhammad Haris Rauf, Muhammad Hashir, and Muhammad Kounain. "IoT Based Smart Helmet for Unsafe Event Detection for Mining Industry." Journal of Artificial Intelligence and Computing 1, no. 2 (2023): 13–17. http://dx.doi.org/10.57041/x8d9kq98.

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The major goal of this project is to design a system that could detect and communicate with the control room in case of an emergency. Methane, CarbonMonoxide and Hydrogen Sulfide gases are hazardous for humans and are present in higher concentrations in mines. This system will help to overcome this problem and help to detect the gases at an early stage. Coal mining can cause several adverse effects on the environment. For instance, Toxic gases may be released into the air, causing suffocation, gas poisoning, roof collapse, and gas explosions. Considering all these viewpoints, the designed syst

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Barve, Saurabh, Prof Megha Beedkar, Poonam Gawale, and Rajan Jadhav. "A Portable Wireless Head Movement Controlled Human-Computer Interface for People with Disabilities." International Journal for Research in Applied Science and Engineering Technology 11, no. 2 (2023): 1439–45. http://dx.doi.org/10.22214/ijraset.2023.49295.

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Abstract: This paper describes about an economical head operated computer mouse for people with disabilities. It focuses on the invention of a head operated computer mouse that employs one tilt sensor placed in the helmet to determine head position and to function as simple head-operated computer mouse. The system uses accelerometer based tilt sensor to detect the user's head tilt in order to direct the mouse movement on the computer screen. Clicking of mouse is activated by the user's eye brow movement through a sensor. The keyboard function is designed to allow the user to scroll letters wit

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Rakshanda, Kadam, Kothavale Mayuri, and Ghane |. Jyoti Mali Madhura. "A Study on "Radar Helmet for Soldiers"." International Journal of Trend in Scientific Research and Development 3, no. 2 (2019): 897–900. https://doi.org/10.31142/ijtsrd21527.

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Soldiers are very essential part of any nation's security system. During, wars and search operations soldiers get injured and some of them go missing. As we all know soldier's health is important because they are the savior of our country who protects us from terrorist attacks and from many suspicious activities which can harm us and our nation too. This project will give an ability to track the location and monitor health of the soldiers in real time which goes missing at battlefield. It will minimize the time and rescue operation efforts of army control unit. It will help the army ba

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Hasanah, Nur. "Smart Connector Helmet & Automatic GPS Inovasi Alat Bantu Komunikasi antar Pengemudi dan Penunjuk Arah Berbasis Internet." Elinvo (Electronics, Informatics, and Vocational Education) 1, no. 3 (2016): 140–44. http://dx.doi.org/10.21831/elinvo.v1i3.12819.

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Perancangan smart connector helm dan automatic GPS bertujuan untuk membantu komunikasi antar pengemudi dan sebagai penunjuk arah yang berbasis internet. Alat bantu komunikasi ini terpasang di helm dan terkoneksi dengan smartphone. User dapat berkomunikasi antar Helm dengan Helm yang lain melalui jaringan wireless sinyal radio dari HT. Helm juga terhubung pada smartphone menggunakan bluetooth. Smartphone berfungsi sebagai penunjuk arah dengan adanya GPS dan aplikasi pendukung yang dibuat. Selain itu, pengemudi juga dapat menerima telfon dan mendengarkan musik dengan helm tanpa harus memegang sm

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Dubey, Abhishek Kr, Sumit Singh, and Deepak Sahu. "Coal mine safety monitoring and altering system with smart helmet." Spectrum of Emerging Sciences 4, no. 1 (2024): 33–36. http://dx.doi.org/10.55878/ses2024-4-1-6.

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The coal mining industry is fraught with hazards that pose significant risks to the health and safety of miners. Traditional safety measures have proven insufficient in preventing accidents, necessitating the development of advanced monitoring and alerting systems. This paper presents a comprehensive solution for enhancing coal mine safety through the integration of a smart helmet equipped with various sensors and communication technologies. The proposed system aims to monitor critical environmental parameters such as temperature, humidity, gas concentrations (e.g., methane, carbon monoxide),

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Li, Qingge, Xiaogang Yang, Ruitao Lu, Jiwei Fan, Siyu Wang, and Zhen Qin. "VisionICE: Air–Ground Integrated Intelligent Cognition Visual Enhancement System Based on a UAV." Drones 7, no. 4 (2023): 268. http://dx.doi.org/10.3390/drones7040268.

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Post-disaster search and rescue is critical to disaster response and recovery efforts and is often conducted in hazardous and challenging environments. However, the existing post-disaster search and rescue operations have problems such as low efficiency, limited search range, difficulty in identifying the nature of the target, and wrong target location. Therefore, this study develops an air–ground integrated intelligent cognition visual enhancement system based on a UAV (VisionICE). The technique combines a portable AR display device, a camera-equipped helmet, and a quadcopter UAV for efficien

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Prema, C. "IOT Based - Smart Helmet for Air Quality and Hazardous Event Detection for the Mining Industry." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41433.

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The security of the underground mines must be increase because disasters in underground mines are very serious issues now days. The difficulties faced by miners working underground are gas explosion, temperature, etc. If any disaster occurs in mine and if miner gets injured, all the blame directly goes on supervisor. So there must be communication between miners, supervisor and control station. Therefore the purpose of the proposed system is to modify an existing mining safety. Helmet is one of the safety accessories miner should wear while mining. The aim is to make the helmet even safer by a

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Arun Kumar, G. S., Rajesh Singh, Anita Gehlot, and Shaik Vaseem Akram. "LoRa enabled Real-time Monitoring of Workers in Building Construction Site." International Journal of Electrical and Electronics Research 10, no. 1 (2022): 41–50. http://dx.doi.org/10.37391/ijeer.100106.

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In construction, the real-time monitoring of the worker is necessary for ensuring safety in terms of health and accidents. The technology advancement in the sensors and wireless communication technology has inspired to implement Internet of Things (IoT) real-time monitoring in construction site. With this motivation, in this study we have proposed a system that is powered with long range (LoRa) and IEEE 802.15.4 based Zigbee communication for real-time implementation. Worker health monitoring mote, helmet detection mote, shoe detection mote, and glove detection mote are the primary components

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