Automatic crash detection for motor cycles

In this paper we present a concept for automated crash detection to motorcycles. In this concept, three different inertial measurement units are attached to head of the motorist, torso of the motorist and to the rear of the motor cycle. Crash dummy tests are done by throwing the dummy with different altitudes to simulate the effect of crash to the motorist and real data is collected by driving the motorcycle. A maximum a posteriori classifier is trained to classify the crash and normal driving. The implemented prototype system shows promising results for automatic crash detection.