Indicators of sleepiness using eye tracking

• Main Authors: ROY, Debasis, NAH, Fiona Fui-hoon, THIMGAN, Matthew.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Sleep deprivation; Eye-tracking metrics; Graphics and Human Computer Interfaces; Medicine and Health Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/9625
• Institution: Singapore Management University

The Centers for Disease Control and Prevention (CDC) has declared sleep deprivation (SD) a public health epidemic. SD can create hazards in the workplace, which include safety hazards and psychosocial hazards (i.e., mental health and well-being) (Stephanidis et al., 2019). Hence, it is critical to detect sleepiness in the workplace in order to take corrective actions to minimize or prevent such hazards. In this research, we are interested to utilize eye-tracking to detect sleepiness of users of computer-based systems. We review the literature on the biological explanations of SD and eye-tracking metrics associated with sleepiness (Roy et al., 2000). Our literature review suggests that saccadic eye movements (Fransson et al., 2000; Zils et al., 2005), eye blinks (Caffier et al., 2003), as well as pupil size and constrictions (Franzen et al., 2009; Russo et al., 2003; Wilhelm et al., 1998) can be used to detect sleepiness. We plan to conduct an experiment to assess and validate these metrics among users of computer-based systems. Our findings will be helpful for detecting sleepiness of users in a computer-based environment.