Sleep is a state of reduced activity and energy consumption, which helps restoration and memory processing. Our health and work productivity hinge on the quality of our sleep. Thus, the quality of sleep needs to be monitored. Professional sleep-tracking often involves special equipment, such as electroencephalography and electromyography sensors, which are costly and not generally accessible. There are cheaper wearable electronic devices for monitoring sleep, but they will involve contact with the user, consequently hindering their sleeping quality during the monitoring process. Therefore, we are investigating the possibility of using a non-intrusive, simple, and commonly accessible sleep quality monitoring system in the home. Sleep quality can be determined through the degree and frequency of body movement during our sleep. In this project, as Wi-Fi waves will be interfered or obstructed when passing through objects, Wi-Fi received signal strength information (RSSI) is used to analyze body movements during sleep. Changes in signal strength indicate the movement of the user. The signal is further processed by a sleep quality score system, which subsequently displays the result of sleeping quality. The monitoring system includes a Wi-Fi access point and a laptop with Wi-Fi. The access point will send radio waves, and the laptop will receive radio waves as well as signal strength information of the waves. By analyzing the signal strength information and using the above sleep quality scoring system, the corresponding sleep quality can be identified.