Samuel Kim

Adaptive Sleep Alarm

Started May 28, 2024

Abstract or project description

Often people are awoken during deep sleep (REM) from their preset alarms in the morning. An adaptive alarm that buzzes users when they are in light sleep would be much more comfortable. This project seeks to use simple biometric monitoring (hear rate, body temperature) and user movement to classify sleep quality and predict this best time to wake the user. The given alarm will be customizable and comfortable for the user, allowing them to select a time range they would like to wake up in. The project will use an Arduino Uno microcontroller and off the shelf biometric sensors.