Deep learning in mental health outcome research: a scoping review
Mental illnesses, such as depression, are highly prevalent and have been shown to impact
an individual's physical health. Recently, artificial intelligence (AI) methods have been …
an individual's physical health. Recently, artificial intelligence (AI) methods have been …
Predicting depression, anxiety, and stress levels from videos using the facial action coding system
M Gavrilescu, N Vizireanu - Sensors, 2019 - mdpi.com
We present the first study in the literature that has aimed to determine Depression Anxiety
Stress Scale (DASS) levels by analyzing facial expressions using Facial Action Coding …
Stress Scale (DASS) levels by analyzing facial expressions using Facial Action Coding …
Video-based stress detection through deep learning
Stress has become an increasingly serious problem in the current society, threatening
mankind's well-beings. With the ubiquitous deployment of video cameras in surroundings …
mankind's well-beings. With the ubiquitous deployment of video cameras in surroundings …
A secure wearable framework for stress detection in patients affected by communicable diseases
The emergence of COVID-19 has drastically altered the lifestyle of people around the world,
resulting in significant consequences on people's physical and mental well-being. Fear of …
resulting in significant consequences on people's physical and mental well-being. Fear of …
Ai-boosted crispr-cas13a and total internal reflection fluorescence microscopy system for sars-cov-2 detection
Integrating artificial intelligence with SARS-CoV-2 diagnostics can help in the timely
execution of pandemic control and monitoring plans. To improve the efficiency of the …
execution of pandemic control and monitoring plans. To improve the efficiency of the …
[HTML][HTML] Facial expression recognition with machine learning and assessment of distress in patients with cancer
L Chen - Number 1/January 2021, 2021 - onf.ons.org
Objectives: To estimate the effectiveness of combining facial expression recognition and
machine learning for better detection of distress. Sample & Setting: 232 patients with cancer …
machine learning for better detection of distress. Sample & Setting: 232 patients with cancer …
Deep time-delay Markov network for prediction and modeling the stress and emotions state transition
BH Prasetio, H Tamura, K Tanno - Scientific Reports, 2020 - nature.com
To recognize stress and emotion, most of the existing methods only observe and analyze
speech patterns from present-time features. However, an emotion (especially for stress) can …
speech patterns from present-time features. However, an emotion (especially for stress) can …
Deep-learning-based stress recognition with spatial-temporal facial information
In recent times, as interest in stress control has increased, many studies on stress
recognition have been conducted. Several studies have been based on physiological …
recognition have been conducted. Several studies have been based on physiological …
Deep Learning Approaches for Stress Detection: A Survey
M Kyrou, IS Kompatsiaris… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Stress has a severe impact on individuals irrespective of age, sex, work, or background. The
reliable development of stress detection techniques enhances the social, educational …
reliable development of stress detection techniques enhances the social, educational …
Multimodal stress state detection from facial videos using physiological signals and facial features
Y Ouzar, L Lagha, F Bousefsaf, C Maaoui - International Conference on …, 2022 - Springer
Stress is a complex phenomenon that affects the body and mind on multiple levels,
encompassing both psychological and physiological aspects. Recent studies have used …
encompassing both psychological and physiological aspects. Recent studies have used …