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Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood
BackgroundVisual and auditory signs of patient functioning have long been used for clinical
diagnosis, treatment selection, and prognosis. Direct measurement and quantification of …
diagnosis, treatment selection, and prognosis. Direct measurement and quantification of …
[PDF][PDF] Tackling the ADRESSO Challenge 2021: The MUET-RMIT System for Alzheimer's Dementia Recognition from Spontaneous Speech.
This paper addresses the Interspeech Alzheimer's Dementia Recognition through
Spontaneous Speech only (ADReSSo) challenge 2021. The objective of our study is to …
Spontaneous Speech only (ADReSSo) challenge 2021. The objective of our study is to …
Automated screening for bipolar disorder from audio/visual modalities
This paper addresses the Bipolar Disorder sub-challenge of the Audio/Visual Emotion
recognition Challenge (AVEC) 2018, where the objective is to classify patients suffering from …
recognition Challenge (AVEC) 2018, where the objective is to classify patients suffering from …
[PDF][PDF] Computational Paralinguistics: Automatic Assessment of Emotions, Mood and Behavioural State from Acoustics of Speech.
Paralinguistic analysis of speech remains a challenging task due to the many confounding
factors which affect speech production. In this paper, we address the Interspeech 2018 …
factors which affect speech production. In this paper, we address the Interspeech 2018 …
Facial landmark activity features for depression screening
Depression is the most common mood disorder in the world which is also the leading cause
of suicide. Depression might be diagnosed using varying modalities, as it affects many …
of suicide. Depression might be diagnosed using varying modalities, as it affects many …
[PDF][PDF] Correlation-Based Attention Weights Mechanism in Multimodal Depression Detection: A Two-Stage Approach.
Globally, the COVID-19 pandemic has aggravated the problem of depression. In the
literature on depression detection, predictive capacity of multi-modal biomarkers like …
literature on depression detection, predictive capacity of multi-modal biomarkers like …
Visual Analytics for Automated Behavior Understanding in Learning Environments: A Review of Opportunities, Emerging Methods, and Challenges
Individuals' actions, interactions, and reactions to events involving them are referred to as
human behavior. Traditional research in understanding human behavior has been …
human behavior. Traditional research in understanding human behavior has been …
Automated Recognition of Alzheimer's Dementia: A Review of Recent Developments in the Context of Interspeech ADReSS Challenges
Alzheimer's dementia is a neurological disease that leads to physical and cognitive decline,
thus adversely affecting the well-being and quality of life of patients. Although there is …
thus adversely affecting the well-being and quality of life of patients. Although there is …
Automated screening methods for mental and neuro-developmental disorders
M Syed - 2018 - orca.cardiff.ac.uk
Mental and neuro-developmental disorders such as depression, bipolar disorder, and
autism spectrum disorder (ASD) are critical healthcare issues which affect a large number of …
autism spectrum disorder (ASD) are critical healthcare issues which affect a large number of …
[PDF][PDF] AUDIO AND FACIAL FEATURE ANALYSIS FOR SEPARATING DEPRESSION AND DEMENTIA
Dementia is a general term for loss of cognitive ability such as memory, language, logic. It is
commonly caused by neurological disorders. However, depression, a type of mental health …
commonly caused by neurological disorders. However, depression, a type of mental health …