Year: 2025
Type: article
Abstract: The driver's hypnosis detection system will be processed by image processing. The background and purpose of this research are to detect street hypnosis and increase street awareness. The road hypnosis detection method is based on eyelid closure and the detection of physiological parameters of the driver's HRV signal to improve the accuracy of detecting the occurrence of hypnosis. This study used the facial landmark method to detect decreased HRV signals related to the driver being asleep or awake. The initial process begins with streaming the camera with a webcam mounted on the vehicle's dashboard. Detection of the facial area uses an eye aspect ratio algorithm that is processed in images captured by a webcam, then an eye ratio algorithm is used to report sleepy eyes in the form of output. The prediction for the first test data is very close to the actual value (0.5567 vs 0.58), which suggests that the model can perform the prediction quite well.
Authors: Khusnul Khotimah, Ade Sjafruddin, Aine Kusumawati, Sony Wibowo
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409430914