tag: IoT

Best Device Application Award, International oneM2M Hackathon 2022

Our sleep quality monitoring system utilizes off-the-shelf smartwatches to collect wrist sensor data during sleep. By applying signal processing and deep learning algorithms, we estimate respiration rate, detect breathing patterns, and classify abnormal respirations for sleep apnea detection. We also developed a prototype app for Android and Apple devices to process collected sensor data.