4 results for “topic:stressdetection”
A machine learning pipeline for stress detection from speech using acoustic feature extraction and classical classification models.
A 3-electrode system provides a compact, cost-effective, and user-friendly alternative while maintaining reliable performance along with a BioAmp EXG Pill, a compact biopotential sensor, and Arduino Uno provides an affordable and efficient solution for recording EEG signals and Emotion recognition.
This innovative project aims to develop an intelligent system that can detect and analyze an individual's stress levels using various physiological and behavioral signals. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
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