Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood

K Schultebraucks, V Yadav, AY Shalev… - Psychological …, 2022 - cambridge.org
BackgroundVisual and auditory signs of patient functioning have long been used for clinical
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.

ZS Syed, MSS Syed, M Lech, E Pirogova - Interspeech, 2021 - researchgate.net
This paper addresses the Interspeech Alzheimer's Dementia Recognition through
Spontaneous Speech only (ADReSSo) challenge 2021. The objective of our study is to …

Automated screening for bipolar disorder from audio/visual modalities

ZS Syed, K Sidorov, D Marshall - Proceedings of the 2018 on Audio …, 2018 - dl.acm.org
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 …

[PDF][PDF] Computational Paralinguistics: Automatic Assessment of Emotions, Mood and Behavioural State from Acoustics of Speech.

ZS Syed, J Schroeter, KA Sidorov, AD Marshall - Interspeech, 2018 - users.cs.cf.ac.uk
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 …

Facial landmark activity features for depression screening

B Sumali, Y Mitsukura, Y Tazawa… - 2019 58th annual …, 2019 - ieeexplore.ieee.org
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 …

[PDF][PDF] Correlation-Based Attention Weights Mechanism in Multimodal Depression Detection: A Two-Stage Approach.

S Mamidisetti, AM Reddy - … Journal of Intelligent Engineering & Systems, 2024 - inass.org
Globally, the COVID-19 pandemic has aggravated the problem of depression. In the
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

ZS Syed, FK Shaikh, MSS Syed… - Intelligent Image and …, 2023 - taylorfrancis.com
Individuals' actions, interactions, and reactions to events involving them are referred to as
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

MSS Syed, ZS Syed, M Lech… - Biomedical Signal …, 2024 - taylorfrancis.com
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 …

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 …

[PDF][PDF] AUDIO AND FACIAL FEATURE ANALYSIS FOR SEPARATING DEPRESSION AND DEMENTIA

B Sumali, Y Mitsukura, T Kishimoto, M Mimura - academia.edu
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 …