An IoT based system designed to monitor sleep patterns using sensors and embedded electronics. The project focused on collecting real-world physiological data and creating a connected monitoring platform.
The goal of this capstone project was to design a system capable of monitoring sleep behaviour using sensors and transmitting collected data through an IoT platform.
The project involved integrating hardware, embedded programming, communication systems, and software to create a complete monitoring solution.
Collected real-world measurements using sensors connected to the embedded controller.
Processed sensor data and handled communication between hardware components.
Created a connected system where collected data could be stored, monitored, and analyzed.
Worked on connecting sensors, controllers, and supporting electronics to build the prototype system.
Developed embedded software logic for reading, processing, and transmitting sensor information.
Tested system performance, analyzed results, and improved reliability through iterations.
Ensuring accurate sensor readings and consistent data collection during real-world usage.
Combining electronics and software into one reliable working prototype.