Research Article
Exploring Diverse Features: A Thorough Survey for Anxiety Disorders
@ARTICLE{10.4108/eetpht.11.5475, author={Rakhi Nagpal and Saravjeet Singh and Aditi Moudgil }, title={Exploring Diverse Features: A Thorough Survey for Anxiety Disorders}, journal={EAI Endorsed Transactions of Pervasive Health and Technology}, volume={11}, number={1}, publisher={EAI}, journal_a={PHAT}, year={2025}, month={6}, keywords={Anxiety Disorder, Mental Illness, Acoustic features, Disorder Identification}, doi={10.4108/eetpht.11.5475} }- Rakhi Nagpal
Saravjeet Singh
Aditi Moudgil
Year: 2025
Exploring Diverse Features: A Thorough Survey for Anxiety Disorders
PHAT
EAI
DOI: 10.4108/eetpht.11.5475
Abstract
INTRODUCTION: The prevalence of mental health issues, mainly anxiety disorders, has risen significantly in today’s fast paced world. Thus, giving the imperative to confront the challenges associated in identifying these issues. OBJECTIVE: The objective of this review paper is to signify the importance of different features or parameters (acoustic, prosodic, linguistic, facial, neuroimaging, psychological, and physiological) being extracted from different data modalities (audio, video, psychological, physiological, textual, and neuroimaging) that are being used to assess different kinds of mental disorders. METHODS: Considering the systematic literature review technique, a total of 102 studies have been identified in the field of anxiety disorders and mental health issues spanning the years 2015 to 2024. By considering diverse features being used to diagnose different kinds of anxiety disorders, this paper provides a foundation for future research that will help researchers to design the new strategies and techniques to handle the anxiety disorder. CONCLUSION: This comprehensive review paper outlines the details of diverse features extracted across various data modalities, contributing significantly to the prediction of a wide range of anxiety disorders.
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