A Web Application to Predict Stress via Keyboard Data and Sensor Data
Keywords:
Decision Tree Classifier, Keyboard, Stress,SensorAbstract
Stress is a significant problem today, and people may not always be aware of their stress levels. Therefore, it is crucial to identify and recognize stress early and accurately. In literature, various stress detection systems were introduced which results in extensive use of IOT devices. This study proposes a machine learning approach to detect stress, which involves using keyboard data to predict stress levels in computer users. The experiment consisted of two phases, where physiological data was collected and analyzed using a machine learning framework. By analyzing data such as blood pressure and body temperature individuals can avoid stress-related medical conditions. The study assessed the accuracy of stress detection using machine learning algorithms, including Decision Tree Classifier and presents a web application which makes use of keyboard and heart rate sensor.
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