Machine Learning based Stress Detection using Keyboard Typing Behavior

Emotion detection is one of those areas where technological advances have brought about significant changesin the human lifestyle. During COVID-19 pandemic, due to work from home culture, use computers and laptop was suddenly increased. Introduction digital environments gave it a whole new dimension. virtual or computerized way detect stress. People suffer various kinds stress in day activities directly connected their performance. The factor can be expressed through number ways behavior. which humans interact with computer reveal emotional state user, mainly Keyboard typing behavior characteristics used for detection. This paper focuses on understanding behaviour indicate level. Relevant features are extracted user training machine learning models K-Nearest Neighbor algorithm highest accuracy 84.21% dimensionality reduction approach.