Model for Recognizing and Understanding Neural Anxiety Levels

Abstract—The project is an example of a stress detection system that uses a number of sensors to track physiological signals such body temperature, respiration rate, acceleration, EMG, ECG, and EDA. The device uses a unique analysis model to classify stress levels as low, medium, or high.A software platform processes the data gathered from sensors, such as the Seeed Studio Grove GSR Sensor, Spinkky MPU-6050 Module, Heart BioAmp, Muscle BioAmp Patch v0.2, and temperature sensor. The platform offers tailored stress management advice based on the user’s stress level. The goal of this effective and user- friendly technology is to promote mental health and enable real- time stress monitoring.