realmichaelye/Stress-Prediction-Using-HRV
Using the SWELL dataset from Kaggle, we've built 2 machine learning models to predict whether or not a person is under stress using Heart Rate Variability(HRV) which can be collected from modern wearables such as fitbit devices and apple watches.
This tool helps individuals monitor their stress levels using data from personal wearable devices like Fitbits or Apple Watches. By analyzing your heart rate variability (HRV) data, it can predict if you are experiencing stress. The output can be used to trigger real-time notifications or integrate with other applications to provide personalized well-being suggestions.
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Use this if you want to leverage your wearable device's HRV data for real-time personal stress monitoring and intervention suggestions.
Not ideal if you need a diagnostic medical tool for stress or require analysis beyond individual, real-time feedback.
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Sep 28, 2019
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