Drowsiness detection using galvanic skin response and electro-occulograph

• Main Authors: Nawawi, Nurfathin Atika, Sudirman, Rubita, Sheikh, Usman Ullah
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/107882/1/UsmanUllahSheikh2023_DrowsinessDetectionusingGalvanicSkin.pdf; http://eprints.utm.my/107882/; http://dx.doi.org/10.1088/1742-6596/2622/1/012004
• Institution: Universiti Teknologi Malaysia

Galvanic Skin Response (GSR) is widely used in psychological applications, mostly stress detection. Hence, people always put a limitation on GSR for stress detection only. Therefore, the challenge in this study is to expand the usage of GSR in drowsiness detection. Workers, students and drivers face a sleep deprivation problem due to never-ending work. Hence, this drowsiness detection is needed to detect the drowsiness to prevent unforeseen accidents from occurring. However, existing GSR application on sleep deprivation detection needs to improve with data reliability since the recording always took place on the wrist, and an external source like hand movements may influence the reading. Therefore, another drowsiness detection method is needed for reliable data or tasks. Hence, this study aims to detect GSR and EOG from behind the ear. The earpiece has been designed to make data recording of both GSR and EOG easier. By doing so, this study able to detect the skin conductance response (SCR) and skin resistance level (SCL) of GSR also eye activity which reflect the drowsiness seen from behind the ear of the user. The study found that the SCR and SCL levels increase with increasing sleepiness or drowsiness. Moreover, EOG shows a sudden spike in the signal when the user is in a drowsy state.