Meditation Assistor
As the stress of modern life increases and people are more aware of mental wellbeing, more and more people are trying the practice of meditation to improve their mental state. This project explores an intelligent product for beginners to practice meditation. It guides the breathing rhythm by interacting with users to help them enter the meditation state more effectively. At the same time, the product has Heart Rate Variability (HRV) and Electrodermal Activity (EDA) detection functions, which can identify the effective meditation state of users during their practice. Users can check the levels of their meditation state through biofeedback transmitted to their smart phone, providing positive feedback to help motivate the person to continue with the practice.
Xiaoteng Li
MSc