SUBIINA: Stress and Unhappiness Behavioural Identification using Intelligent Artificial Neural Networks and Analysis

This paper presents an overview of recent research on stress detection using speech and facial expression analysis. The utilization of speech and facial expressions for the purpose of stress detection has garnered considerable interest in recent times, largely due to their non-invasive and cost-effective characteristics. The paper provides a brief introduction to the physiological and psychological aspects of stress and how it affects speech and facial production. Various approaches to stress detection using speech and facial expression analysis are discussed, including acoustic, prosodic, linguistic, and visual features. The paper also discusses the challenges associated with stress detection using speech and facial expression analysis and potential applications of this technology. In conclusion, the paper discusses future research directions in this domain, which include the creation of stress detection models that are even more precise and dependable, as well as their integration into real-world applications.