Method, wearable device and electronic device for detecting unintended onset of sleep (USL)

A method for detecting unintended onset of sleep (USL) and providing warnings to a user across multiple environments, the method comprising:

• integrating, by a processor of a wearable device, a plurality of biometric sensors into the wearable device, wherein the plurality of biometric sensors is configured to continuously monitor one or more physiological indicators of drowsiness associated with a user, wherein the one or more physiological indicators comprises a heart rate variability, an eye movement, and a micro-vibrations;
• assessing, by the processor, a real-time environmental context of a user's environment by integrating data from one or more external sensors to distinguish between different environmental contexts, wherein the real-time environmental context comprises a moving vehicle, a stationary workspace, and a classroom, wherein the one or more external sensors comprises GPS, accelerometers, and ambient light sensors;
• adapting, by the processor, a sleep onset prediction model based on one or more machine learning techniques to predict a likelihood of unintended sleep onset by analyzing real-time the one or more physiological indicators and the environmental context, wherein the sleep onset prediction model is configured to dynamically adjust a sensitivity based on the real-time environmental context;
• and
• providing, by the processor, a personalized alert based on sleep patterns and preferences associated with the user, wherein the personalized alert comprises a vibration, an auditory cue, and a visual notification which is tailored to the user's environment and a historical sleep behavior;
• continuously updating, by the processor, the sleep onset prediction model based on feedback from the user and outcomes of prior personalized alerts to improve the accuracy of future predictions;
• and
• displaying, by the processor, information associated with the personalized alert on a user interface for guiding the user with visual cues.