SIE 2016: Annotated Summary for Detecting Driver Drowsiness Based on Sensors

Sahayadhas, A., Sundaraj, K., & Murugappan, M. (2012). Detecting driver drowsiness based on sensors: A review. Sensors, 12, 16937–16953. https://doi.org/10.3390/s121216937

In this article, Sahayadhas et al (2012) focus on the several perks and disadvantages that sensors have. The sensor would then detect the level of drowsiness of a driver, and an algorithm will be used to reliably calculate the level of drowsiness of the driver by developing a hybrid drowsiness detection system that incorporates non-intrusive physiological measures with other measures. If a warning is sent to the driver who is considered drowsy, a number of road accidents will then be prevented. The authors also mentioned that by using a steering angle sensor, steering wheel motion is able to monitor the driver's level of drowsiness. The authors also shared that the sensor is commonly used for vehicle-based test to detect the degree of drowsiness of the driver. The driver's steering action is determined by using an angle sensor mounted on the steering column. The amount of correction on the steering wheel decreases as opposed to typical driving when the driver is feeling drowsy. The authors have conducted a various test and include different measure used to measure and diagnose drowsiness.





The article provides an insightful view as to how our team should approach our project. While the efficiency is high with the use of physiological tests to diagnose drowsiness, these are extremely invasive. By using contactless electrode positioning, we could overcome that disruptive nature of the sensor obstructing the driver's view when the driver is driving. Thus, our team have decided to apply our electrocardiogram sensor (ECG) with the drowsiness sensor and decided that by using eye aspect ratio sensor as our main sensor to detect drowsiness and having the angular sensor and ECG as an alternative solution could provide an optimal result. While the research in the article is conducted in a simulated environment to ensure the safety of the drivers, the article provides relevant and data about how are we to determine the effect of drowsiness, which is a specific focus for our research project.

Reviewed: Kei Man, Jing Kai, and Celine 

Updated as of: 5th December 2020