Accidents Preventing Smart Helmet Using EEG Sensor

Abstract

India is a developing country which is also the largest democracy in the world with 1.36 billion people, where most people own a motorcycle. Hence, motorcycles accidents are prevalent across the nation, resulting in lose of lives. The objective of this paper is to propose an Electroencephalography (EEG) Monitoring control system enabled helmet, which provides convenient and enhanced protection by alerting and speed limiting the motorcycle. An Atmega328 Microcontroller controls the overall operation of the system. It interfaces with subsystems present in the helmet periphery enclosing the EEG sensor and the wireless transceiver (Bluetooth) module.The Bluetooth module is a master/slave model, through which wirelessly data are communicated and processed in the main system. The response time of the controller will be increased by implementing PI controller and thus a closed loop system is established. Feedback from accelerometer senses and measures the dynamic motion. Once the accident takes place the Global Positioning System (GPS) collects the coordinates of the accident site which is later transmitted to the registered mobile numbers as an act to communicate with the rider’s close contacts. An alcohol sensor is added to the model which senses the condition of the rider before starting the vehicle.