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 betwee…

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

Implementation of MoStress: a Sequence Model for Stress Classification

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.

Human Stress Detection project utilizes machine learning techniques to detect stress in an individual

More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors

Stress Detection in Social Media

An Android app. Find out how stressed you are.

Measuring stress and analyzing physical activity from smart watches

Privacy at Risk: Exploiting Similarities in Health Data for Identity Inference (dtw-attacks-v1)

An interface involving various mental arithmetic tasks using the React framework, Next.Js

A comparative analysis of time-series encoding methods (GAF, MTF, RP) using CNN architectures (VGG-16, ResNet) for stress detection from wearable sensor data

VitalFlow is a full-stack health tracking app that combines Flutter, Kotlin, Flask, and MongoDB to monitor steps, heart rate, sleep, hydration, and stress — with smart insights powered by NLP and AI.

User Stress Levels Detection by Physiological Sensing and Deep Learning

Research thesis in Machine Learning for the achievement of Bachelor of Science Degree in Computer Science.

Stress detection using emotion detection.

Detect stress use EEG signal and Deep learning

This project is designed to help users assess their stress levels and provide personalized suggestions for managing stress. The chatbot collects user data such as age, gender, sleep quality, physical activity, and health metrics, and uses a RandomForestRegressor model to predict the user's stress level.