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Depression has proven to be a significant public health issue, profoundly affecting the psychological well-being of individuals. If it remains undiagnosed, depression can lead to severe health issues, which can manifest physically and even…

Human-Computer Interaction · Computer Science 2024-12-03 Chayan Tank , Sarthak Pol , Vinayak Katoch , Shaina Mehta , Avinash Anand , Rajiv Ratn Shah

Users suffering from mental health conditions often turn to online resources for support, including specialized online support communities or general communities such as Twitter and Reddit. In this work, we present a neural framework for…

Computation and Language · Computer Science 2017-09-07 Andrew Yates , Arman Cohan , Nazli Goharian

MoodCapture presents a novel approach that assesses depression based on images automatically captured from the front-facing camera of smartphones as people go about their daily lives. We collect over 125,000 photos in the wild from N=177…

Dysgraphia is a neurodevelopmental condition in which children encounter difficulties in handwriting. Dysgraphia is not a disorder per se, but is secondary to neurodevelopmental disorders, mainly dyslexia, Developmental Coordination…

Applications · Statistics 2024-08-06 Yunjiao Lu , Jean-Charles Quinton , Caroline Jolly , Vincent Brault

Depression, as a typical mental disorder, has become a prevalent issue significantly impacting public health. However, the prevention and treatment of depression still face multiple challenges, including complex diagnostic procedures,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Yu Luo , Nan Huang , Sophie Yu , Hendry Xu , Jerry Wang , Colin Wang , Zhichao Liu , Chen Zeng

A number of challenges exist for the analysis of mHealth data: maintaining participant engagement over extended time periods and therefore understanding what constitutes an acceptable threshold of missing data; distinguishing between the…

Depression is a widespread mental health issue affecting diverse age groups, with notable prevalence among college students and the elderly. However, existing datasets and detection methods primarily focus on young adults, neglecting the…

Computer aided diagnosis systems can provide non-invasive, low-cost tools to support clinicians. These systems have the potential to assist the diagnosis and monitoring of neurodegenerative disorders, in particular Parkinson's disease (PD).…

Computer Vision and Pattern Recognition · Computer Science 2024-05-24 Moises Diaz , Miguel Angel Ferrer , Donato Impedovo , Giuseppe Pirlo , Gennaro Vessio

The behaviors of patients with depression are usually difficult to predict because the patients demonstrate the symptoms of a depressive episode without a warning at unexpected times. The goal of this research is to build algorithms that…

Computers and Society · Computer Science 2016-03-25 Taeheon Jeong , Diego Klabjan , Justin Starren

Handwriting is significantly affected by neurological disorders (ND) such as Parkinson's disease (PD) and Alzheimer's disease (AD). Prior works have analyzed handwriting tasks using feature-based approaches or computer-vision techniques,…

Computer Vision and Pattern Recognition · Computer Science 2025-09-23 Gabrielle Chavez , Laureano Moro-Velazquez , Ankur Butala , Najim Dehak , Thomas Thebaud

Distress is a complex condition which affects a significant percentage of cancer patients and may lead to depression, anxiety, sadness, suicide and other forms of psychological morbidity. Compelling evidence supports screening for distress…

Human-Computer Interaction · Computer Science 2020-07-29 Rajib Rana , Siddique Latif , Raj Gururajan , Anthony Gray , Geraldine Mackenzie , Gerald Humphris , Jeff Dunn

Handwriting is a complex task that involves the coordination of motor, perceptual and cognitive skills. It is a fundamental skill for the cognitive and academic development of children. However, the technological, and educational changes in…

Computer Vision and Pattern Recognition · Computer Science 2024-06-10 Belen Esther Aleman , Moises Diaz , Miguel Angel Ferrer

Depression, a highly prevalent mental illness, affects over 280 million individuals worldwide. Early detection and timely intervention are crucial for promoting remission, preventing relapse, and alleviating the emotional and financial…

Computer Vision and Pattern Recognition · Computer Science 2023-10-11 Min Ren , Muchan Tao , Xuecai Hu , Xiaotong Liu , Qiong Li , Yongzhen Huang

Current diagnostic practice in psychiatry is not relying on objective biophysical evidence. Recent pandemic emphasized the need to address the rising number of mood disorders (in particular, depression) cases in a more efficient way. We are…

Neurons and Cognition · Quantitative Biology 2021-10-26 Milena B. Čukić

Massive social media data can reflect people's authentic thoughts, emotions, communication, etc., and therefore can be analyzed for early detection of mental health problems such as depression. Existing works about early depression…

Social and Information Networks · Computer Science 2025-03-04 Chen Chen , Mingwei Li , Fenghuan Li , Haopeng Chen , Yuankun Lin

Limited access to mental healthcare resources hinders timely depression diagnosis, leading to detrimental outcomes. Social media platforms present a valuable data source for early detection, yet this task faces two significant challenges:…

Computation and Language · Computer Science 2025-10-10 Xiaochong Lan , Zhiguang Han , Yiming Cheng , Li Sheng , Jie Feng , Chen Gao , Yong Li

Social media allows researchers to track societal and cultural changes over time based on language analysis tools. Many of these tools rely on statistical algorithms which need to be tuned to specific types of language. Recent studies have…

Computation and Language · Computer Science 2022-06-23 Keith Harrigian , Mark Dredze

Depression has been the leading cause of mental-health illness worldwide. Major depressive disorder (MDD), is a common mental health disorder that affects both psychologically as well as physically which could lead to loss of lives. Due to…

Computer Vision and Pattern Recognition · Computer Science 2019-09-05 Anupama Ray , Siddharth Kumar , Rutvik Reddy , Prerana Mukherjee , Ritu Garg

Early detection of psychological distress is key to effective treatment. Automatic detection of distress, such as depression, is an active area of research. Current approaches utilise vocal, facial, and bodily modalities. Of these, the…

Computer Vision and Pattern Recognition · Computer Science 2020-03-03 Indigo J. D. Orton

The recent COVID-19 pandemic has caused unprecedented impact across the globe. We have also witnessed millions of people with increased mental health issues, such as depression, stress, worry, fear, disgust, sadness, and anxiety, which have…

Social and Information Networks · Computer Science 2020-07-07 Jianlong Zhou , Hamad Zogan , Shuiqiao Yang , Shoaib Jameel , Guandong Xu , Fang Chen
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