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…

A mental health quiz app to help individuals check in with themselves.

depression detection by using tweets

Speech-based diagnosis of depression

This repository contains the code of our winning solution for the Shared Task on Detecting Signs of Depression from Social Media Text at LT-EDI-ACL2022.

Official source code for the paper: "Reading Between the Frames Multi-Modal Non-Verbal Depression Detection in Videos"

This consists in using a variety of social networks data, including both images and texts, to detect early signs of depression.

Official Implementation for NYCU_TWD LT-EDI@ACL 2022

Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach

Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython

Depression is one of the most common mental disorders with millions of people suffering from it.It has been found to have an impact on the texts written by the affected masses.In this study our main aim was to utilise tweets to predict the possibility of a user at-risk of depression through the use of Natural Language Processing(NLP) tools and …

My final year dissertation project. This project takes motor activity data from a control group and a condition group. The data is filtered, cleaned and transformed for appropriate use to find the "best" classification algorithm to identify depressed patients from non-depressed patients

Depression web app with text emotion/depression classification and personality/depression test using 4 deep learning models. Demonstrate end-to-end pipeline from training in Python to edge deployment in Typescript

A real time Multimodal Emotion Recognition web app for text, sound and video inputs

Using Machine Learning to predict if text is suicidal.

Official source code for the paper: "It’s Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers"

Edison AT is software Depression Assistant personal.

se diseñó un modelo para detectar depresión en usuarios en base a comentarios en redes sociales

This project develops a Depression Detection System using Machine Learning on Twitter data. It predicts depression by analyzing tweets with SVM, Logistic Regression, Decision Trees, and NLTK in Python.

code for paper 'Spatial-Temporal Attention Network for Depression Recognition from Facial Videos'