An IoT Peripheral Sensor Integration to Assist Elderly Drivers

Abstract

Due to gradually aging lifespan of elders in human society, a lot of new demands have been brought to facilitate their daily life. The elder driving assistive technology is one of the demands. The elder driving assistive technology is not only beneficial in increasing safety of the driver and the people around his vehicle, but also advantageous in decreasing the public cost of society safety. Thus, the study set a goal to pursue a driving assistive apparatus which can respond immediately to the elder a helpful warning or arrestment during a potential accident crisis. The apparatus dynamically monitors the vehicle movement and it corresponding diver operation mode, and detects the irregularity between the driver and his vehicle. Sensory devices for detecting the behaviors were installed in the vehicle, including imaging camera, inertial measurement unit, Lidar scanner, steering wheel angle sensor, depression sensors on accelerator pedal and brake pedal to form a sensory network for collecting the signals for irregularity identification. Together with an array of ultrasonic sensors installed surrounding the vehicle to scout the suspicious objects around, a sensor harness was integrated and formed to evaluate the irregularity level of the danger. Once the risk level is significant enough, the danger classification will be delivered to the processing center to activate a corresponding ensemble of sensory feedbacks to remind adaptively the driver. The signal interface which has been designed attempts to resist automatically or even stops immediately an inaccurate operation of the driver which might cease an accident disaster.