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.

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

Privacy at Risk: Exploiting Similarities in Health Data for Identity Inference

Stress Detection in Social Media

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

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

Measuring stress and analyzing physical activity from smart watches

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

Detect stress use EEG signal and Deep learning

User Stress Levels Detection by Physiological Sensing and Deep Learning

Eggplant biotic stress detection app using CNN