Investigations on Sleep Deprivation Induced Fatigue Detection Using Multimodal Fusion

Abstract

Sleep is a fundamental biological need that is often overlooked in today s fast-paced and busy world. In our pursuit of productivity and success, many individuals sacrifice sleep, unaware of the profound consequences. A sleep-deprived fatigued person is prone to commit mistakes that could lead towards fatality. In today s era, sleep deprivation has become a pervasive problem that affects people of all ages and walks of life. With increasing responsibilities, technological distractions, and lifestyle choices, many individuals fail to prioritize sleep, leading to a chronic lack of rest. Youngsters spending hours on phone screens before going to bed is also another reason for prevailing sleep deprivation. Sleep deprivation concerns the insufficient sleep needed due to which an individual does not feel fully rested and alert during the daytime. While the recommended duration varies with age, for optimal functioning, adults need 7-9 hours of sleep per night. However, surveys indicate that a significant portion of the population, especially in urban settings, regularly experiences sleep deprivation. Factors contributing to this epidemic include long working hours, excessive screen time, social obligations, and untreated sleep disorders. Therefore, it is essential to assess the fatigue. Furthermore, sleep-deprived individuals experience slower reaction times, reduced alertness, and impaired decision-making skills. These cognitive deficits can be particularly dangerous in critical situations, such as when operating heavy machinery or driving, leading to an increased risk of accidents and injuries. Sleep deprivation undermines performance and productivity across all aspects of life. In the workplace, it can lead to reduced efficiency, decreased creativity, and an increased number of errors. The employees who are Sleep-deprived are likely to struggle with decision-making and focusing, hindering their ability to perform at their best. While reviewing the available literature we have identified that the most of existing