Study of Mechanized Recognition of Driver’s Smartphone Exploiting Common Vehicle-Riding Actions

Distracted driving due to using smartphone like texting, browsing Web, etc. increases the risk of accidents. To prevent this distracted driving, many suggestions have been proposed, but out of them, none addressed completely and efficiently to prevent this distracted driving. This work presents a concept called as mechanized recognition of driver’s smart phone exploiting common vehicle-riding actions to overcome above said deficiency concept. The fusion of the driver’s smartphone with phone’s sensory provides the information related to rider’s actions. This information can be obtained by sequence of steps such as walking toward the vehicle, opening the door from driver’s side, closing the door, standing near the vehicle, entering into it, sitting, and kicking of the engine. The recognition of the smartphone depends on the position of the smartphone placed in the vehicle. This concept identifies the driver’s smartphone just before it leaves out of the parked location. It differentiates between the seated rows by detecting the electromagnetic (EM) spikes occurring when the vehicle starts. By conducting all these sequences of steps, this concept will effectively identify the driver’s smartphone and which efficiently prevent distracted driving.