Intelligent lighting system based on sleep detection using IoT devices and wearables

Sleep is one of the fundamental human needs alongside food, water, and shelter, which is why having an adequate sleep environment is so important, given that quality of sleep is associated with several health conditions. One of the main factors that affects a person's sleep is the amount or level of light in a room. For this reason, we propose an intelligent lighting system, which continuously monitors the state of the user and communicates through the home network to control the lights and turns them off automatically in case it detects that the user is asleep. In order to achieve this, existing libraries for sleep detection were used and a K-means clustering based algorithm that uses heart rate data was developed. This system uses a smartwatch for data collection, a Raspberry Pi Zero W for controlling the lights and the mDNS protocol for service discovery.