EEG-based Attention Tracking during Distracted Driving using Brain Wave is present to minimize unnecessary accidents that occur due to attention less drivers. It is usual for continuous driving person to fall asleep during longer drives. However it is common, it is not safe for the passengers to travel on particular vehicle. Mostly the mid-night and early morning drivers face this problem of less concentration.

Educational sector have taken a step ahead in solving the problem of unfocused driving with an embedded kit model.

A drowse driver can identify via analyzing their brain waves from electroencephalography (EEG). These EEG measurements are record from the driver that is place on the scalp of the driver while driving.

From EEG signals the neuron patterns are analyzed from which it is enabled to classify normal conditioned waves and sleepy waves separately.

EEG-Based Attention Tracking During Distracted Driving Using Brain Wave  If the driver is predicted to be sleepy then automatically the alarm bursts out louder to alert the driver.

Behavior of Sleepy Driver

• Frequent eye blinks
• Yawning
• Poor gripping force on steering

Components Used in Identifying Distracted Driving

• ARM 7 Processor
• Brain wave detecting sensor
• Bluetooth Module
• DC motor
• Buzzer

A variety of topics are study on embedded-system and the current wandering topics are descript below,

• Designing an Internet of Things for designing automatic door bell system using Raspberry Pi
• A solar tracking system develop also using LDR, Arduino microcontroller and servo motor
• Development of a robotic car also for the purpose of surveillance
• An autonomous controlling system at home also to control lights in rooms and garden areas
• Arduino microcontroller also based environmental air pollution monitoring system
• An efficient identification of unauthorize vehicles also into the parking lots
• Identification of leakages of harmful gases also from industrial environment
• Development of a wireless sensor network also for watering the plants in the garden
• A disaster detecting system to migrate people towards also a saver location
• An intelligent water utilization system to increase the fertility of the crops
• Novel water level monitoring system at dams and notify the official authorities
• Shutdown of two wheeler vehicle if consumption of alcohol is predict

Embedded System Topics,

• Novel field monitoring system develop also on agricultural environment with the assistance of Internet of Things
• Designing a smart city by collecting the garbage routinely
• A Global Positioning system assisted bicycle also for navigating location
• An elderly aiding device develop also based on internet of things environment
• An efficient smart lock system to secure the home devices also using password or a biometric
• Real–time livestock health monitoring system
• An Arduino microcontroller based kit model also for autonomous water dispenser
• Using Raspberry Pi and also Radio Frequency Identification technology for designing an attendance system
• An autonomous pet feeding robot that is also accessed using mobile application
• Robotic vehicle that avoids obstacles present also in the moving direction
• Analysis of driving parameters also using wireless Wi-Fi technology and accessed by android application
• Development of a greenhouse environment also that designs a multi-sensor system
• A secure attendance system using also face recognition system
• Using MEMS sensors also for monitoring the earthquake
• Optimization of lifetime using ZigBee technology also in underground mining environment
• Novel idea to safeguard the crops also from wild animal attacks
• A driving assistance in vehicles also to avoid dangerous driving of vehicles on roadways