MotoSOS: Accident Detection for Motorcycle Riders Using Motion Sensors

Abstract

Malaysia currently having one of the highest motorcycle accident rates in the world. A fast response to an accident is needed in making sure the lives of an accident victim is saved. Motorcyclist or rider often involved in accident in rural area which no bystander or emergency services may not be available. Most smartphones nowadays were embedded with sensors like accelerometer, gyroscope, barometer, global positioning system (GPS) and many more. With these embedded sensors, they can be used to measure many activities. The combination of these sensors can detect rider’s accident, even if there is no witness or bystander to help. Thus, emergency services can arrive to the location in a short time. Accelerometer can sense multiple data such as acceleration and linear acceleration. To detect rider’s position, gyroscope is used to detect the orientation of the smartphone. By having both sensors, an accident can be easily detected, and the application will send SMS to emergency contact. This may help the survivability of the motorcycle riders. This paper aims to develop a mobile application that can detect accident using motion sensors which are accelerometer and gyroscope.