SOMNIA
University / Research Project
2025
Product Designer & Systems Thinker
A personalized sound therapy system designed to improve sleep quality for teenagers. By monitoring environmental noise and biometric data, like heart rate and skin temperature, Somnia generates a responsive soundscape to promote melatonin release and counter the effects of blue light exposure.
Wearable Data Collector: A physical wearable component designed to be worn throughout the day to gather environmental sounds via an integrated microphone and monitor physiological responses. Integrated Biometric Sensor Suite: A technical system capable of tracking four key physiological markers: - Heart Rate - Blood Oxygen Levels - Skin Temperature - Humidity (Sweat) Home Hub Processing Unit: A base unit acting as the system's "brain" that receives data from the wearable via a Bluetooth module and houses the speaker for soundscape output. Personalized Machine Learning Model: A software-driven deliverable that includes: - Sound Classification: Categorizing environmental noise - Biometric Data Processing: Analyzing stress levels and physiological patterns Dataset Creation: Building a personalized dataset to optimize sound generation for melatonin release. System Architecture Map: A complete logic flowchart documenting data storage , Bluetooth module communication , and the overall interaction between the user, the wearable, and the home hub.
