[PDF][PDF] A Robust Method of Bipolar Mental Illness Detection from Facial Micro Expressions Using Machine Learning Methods

G Gilanie, S Cheema, A Latif, A Saher… - … Automation & Soft …, 2024 - researchgate.net
Bipolar disorder is a serious mental condition that may be caused by any kind of stress or
emotional upset experienced by the patient. It affects a large percentage of people globally …

[PDF][PDF] An Automated and Real-time Approach of Depression Detection from Facial Micro-expressions.

G Gilanie, M Asghar, AM Qamar, H Ullah… - … Materials & Continua, 2022 - cdn.techscience.cn
Depression is a mental psychological disorder that may cause a physical disorder or lead to
death. It is highly impactful on the socialeconomical life of a person; therefore, its effective …

[HTML][HTML] Demystifying Mental Health by Decoding Facial Action Unit Sequences

D Sharma, J Singh, SS Sehra, SK Sehra - Big Data and Cognitive …, 2024 - mdpi.com
Mental health is indispensable for effective daily functioning and stress management. Facial
expressions may provide vital clues about the mental state of a person as they are …

Deep Learning-Based Automatic Face Expression Recognition Framework

K Ranjan, N Vyas - 2023 International Conference on Circuit …, 2023 - ieeexplore.ieee.org
One of the most important characteristics that might reveal a person's mental condition is
their facial expression. Humans can communicate around 55% of their message nonverbally …

Intelligent Facial Expression Evaluation to Assess Mental Health Through Deep Learning

S Rudrawar, K Upare - … , Changa, Anand, India, December 10–11 …, 2022 - books.google.com
Expressions have been one of the most primary forms of nonverbal communication for
humans. This is very natural and has formed an irreplaceable part of our lives. The facial …

Detection of mood disorder using modulation spectrum of facial action unit profiles

TH Yang, CH Wu, MH Su… - … Conference on Orange …, 2016 - ieeexplore.ieee.org
In mood disorder diagnosis, bipolar disorder (BD) patients are often misdiagnosed as
unipolar depression (UD) on initial presentation. It is crucial to establish an accurate …

Intelligent Facial Expression Evaluation to Assess Mental Health Through Deep Learning

P Gaikwad, S Pardeshi, S Sawant, S Rudrawar… - … Conference on Soft …, 2021 - Springer
Expressions have been one of the most primary forms of non-verbal communication for
humans. This is very natural and has formed an irreplaceable part of our lives. The facial …

Exploiting facial action unit in video for recognizing depression using metaheuristic and neural networks

H Akbar, S Dewi, YA Rozali, LP Lunanta… - … on computer science …, 2021 - ieeexplore.ieee.org
The ubiquity of coronavirus cases around the world has been severe and its impact is not
only affecting the economy and physical health, but also mental health such as depression …

[PDF][PDF] Research Article Automated Facial Expression Recognition Framework Using Deep Learning

S Saeed, AA Shah, MK Ehsan, MR Amirzada… - 2022 - academia.edu
Facial expression is one of the most significant elements which can tell us about the mental
state of any person. A human can convey approximately 55% of information nonverbally and …

Recognizing schizophrenia using facial expressions based on convolutional neural network

X Zhang, T Li, C Wang, T Tian, H Pang… - Brain and …, 2023 - Wiley Online Library
Objective Facial expressions have been served as clinical symptoms to convey mental
conditions in psychiatry. This paper proposes to recognize patients with schizophrenia …