There are 2 repositories under stress-detection topic.
Attention-based bidirectional LSTM for Classification Task (ICASSP)
Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed), with high stress seen as an indication of deception. In this work, we propose a deep learning-based psychological stress detection model using speech signals. With increasing demands for communication between humans and intelligent systems, automatic stress detection is becoming an interesting research topic. Stress can be reliably detected by measuring the level of specific hormones (e.g., cortisol), but this is not a convenient method for the detection of stress in human- machine interactions. The proposed algorithm first extracts Mel- filter bank coefficients using pre-processed speech data and then predicts the status of stress output using a binary decision criterion (i.e., stressed or unstressed) using CNN (Convolutional Neural Network) and dense fully connected layer networks.
This is a Text Analysis App which can be used to find a detailed analysis of a particular text. This includes 5 main types of Analysis - Spam/Ham Detection, Sentiment Analysis, Stress Detection, Hate & Offensive Content Detection, Sarcasm Detection
Code for Stress and Affect Detection on Resource-Constrained Devices
This project introduces a system that utilizes the Flower framework, along with the ESP32 microcontroller and the TinyDB database, for stress classification. The system collects and processes real-time biomarker data, enabling local model training on edge devices.
More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors
Human Stress Detection project utilizes machine learning techniques to detect stress in an individual
Research thesis in Machine Learning for the achievement of Bachelor of Science Degree in Computer Science.
Privacy at Risk: Exploiting Similarities in Health Data for Identity Inference (dtw-attacks-v1)
Measuring stress and analyzing physical activity from smart watches
Detect stress use EEG signal and Deep learning
An interface involving various mental arithmetic tasks using the React framework, Next.Js
User Stress Levels Detection by Physiological Sensing and Deep Learning
Eggplant biotic stress detection app using CNN
The codes related to the work done on research project Stress Classification on the wesad dataset