Mood lamp

My idea for the final project is the Interactive Mood Lamp, a user-responsive system that combines hardware interaction through Arduino and software interfacing via P5.js to create an emotionally adaptive environment. This system utilizes a webcam to capture the user’s facial expressions, which are then processed through P5.js to analyze and interpret emotions. Following this analysis, the detected emotions are communicated to an Arduino-controlled RGB LED lamp, which changes its colors accordingly. The primary goal of this project is to provide visual feedback based on the user’s emotional state.

Sensing: The project begins with the webcam capturing live video of the user’s face. This video feed is processed by a P5.js application running on a connected computer. The application utilizes a facial recognition algorithm, potentially enhanced by machine learning libraries

Processing: Upon identifying an emotion, the P5.js application assigns a specific color to represent each mood: blue might indicate sadness, green happiness, red anger, and yellow surprise. This color mapping will be based on common psychological associations between colors and emotions

Responding: After processing the emotional data, the P5.js application sends the corresponding color command to the Arduino via a serial communication link. The Arduino then adjusts the RGB LED’s color to match the detected emotional state.