Fuzzy Logic-Based System for Stress Detection

n this paper, a fuzzy logic-based system is developed for stress detection. This system provides an efficient method for finding the stress levels among individuals. This system uses multiple symptoms and parameters such as age, heart rate, skin conductance, respiratory rate, voice pitch, body temperature and blood pressure. The system understands these input parameters and classify individual’s state of stress. The objective of this work is to study and review the existing systems for stress levels among individuals and develop a novel fuzzy logic-based system for the same. The fuzzy logic approach offers several advantages over conventional systems by accommodating the uncertainty and variability inherent in stress responses. It is capable of handling overlapping symptoms and subtle changes in physiological and emotional states, making it more accurate and responsive. The effectiveness of the system is found through performance evaluation in terms of accuracy