Take A Breath

Machine Learning | Data Collection | Interactivity

Client/Course

Intelligent Interactive Products

Coach

Rong-Hao Liang

In Short

Take a Breath was developed as part of a machine learning course, focusing on teaching an algorithm to recognize patterns. The project aimed to predict anxiety levels by analyzing the relationship between environmental noise and leg bouncing—a common physical response to stress. Using a microphone and accelerometer, data was collected and processed to train a Linear Support Vector Classification (LSVC) algorithm, which was determined to be the most effective model for this application.

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