FacePsy: An Open-Source Affective Mobile Sensing System-Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings
Depression, a prevalent and complex mental health issue affecting millions worldwide,
presents significant challenges for detection and monitoring. While facial expressions have …
presents significant challenges for detection and monitoring. While facial expressions have …
InterMind: A Doctor-Patient-Family Interactive Depression Assessment System Empowered by Large Language Models
Z Zhou, J Liu, S Wang, S Hao, Y Guo… - arXiv preprint arXiv …, 2024 - arxiv.org
Depression poses significant challenges to patients and healthcare organizations,
necessitating efficient assessment methods. Existing paradigms typically focus on a patient …
necessitating efficient assessment methods. Existing paradigms typically focus on a patient …
Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning
Low trust remains a significant barrier to Autonomous Vehicle (AV) adoption. To design
trustworthy AVs, we need to better understand the individual traits, attitudes, and …
trustworthy AVs, we need to better understand the individual traits, attitudes, and …
PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild
Early detection of depressive episodes is crucial in managing mental health disorders such
as Major Depressive Disorder (MDD) and Bipolar Disorder. However, existing methods often …
as Major Depressive Disorder (MDD) and Bipolar Disorder. However, existing methods often …
MoodCam: Mood Prediction Through Smartphone-Based Facial Affect Analysis in Real-World Settings
MoodCam introduces a novel method for assessing mood by utilizing facial affect analysis
through the front-facing camera of smartphones during everyday activities. We collected …
through the front-facing camera of smartphones during everyday activities. We collected …
AI-Driven Early Mental Health Screening with Limited Data: Analyzing Selfies of Pregnant Women
GA Basílio, TB Pereira, AL Koerich, L Dias… - arXiv preprint arXiv …, 2024 - arxiv.org
Major Depressive Disorder and anxiety disorders affect millions globally, contributing
significantly to the burden of mental health issues. Early screening is crucial for effective …
significantly to the burden of mental health issues. Early screening is crucial for effective …
Technology as uncharted territory: Contextual integrity and the notion of AI as new ethical ground
AM Mussgnug - arXiv preprint arXiv:2412.05130, 2024 - arxiv.org
Recent research illustrates how AI can be developed and deployed in a manner detached
from the concrete social context of application. By abstracting from the contexts of AI …
from the concrete social context of application. By abstracting from the contexts of AI …
Draw4CM: Detecting Cervical Myelopathy via Hand Drawings Captured by Mobile Devices
T Watanabe, E Yamada, K Fujita… - Adjunct Proceedings of the …, 2024 - dl.acm.org
Cervical myelopathy (CM), which causes numbness and pain in the hands, can affect
manual dexterity and render daily life difficult. The characteristics of this disease are …
manual dexterity and render daily life difficult. The characteristics of this disease are …
Automated Depressive Disorder Classification using Optimized CNN-LSTM
A Meenakshi, M Sivasakthi - 2024 7th International Conference …, 2024 - ieeexplore.ieee.org
Due to a lack of early treatment options and resources for depression detection, millions of
people suffer from mental illness. It is the primary cause of sleep disorders, bipolar illness …
people suffer from mental illness. It is the primary cause of sleep disorders, bipolar illness …