A novel multi-modal depression detection approach based on mobile crowd sensing and task-based mechanisms

• Published in: Multimedia tools and applications Vol. 82; no. 4; pp. 4787 - 4820
• Main Authors: Thati, Ravi Prasad, Dhadwal, Abhishek Singh, Kumar, Praveen, P, Sainaba
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2023; Springer Nature B.V
• Subjects: 1215: Multimodal Interaction and IoT Applications; Accuracy; Classification; Computer Communication Networks; Computer Science; Correlation coefficients; Data collection; Data Structures and Information Theory; Datasets; Feature extraction; Feature selection; Machine learning; Multimedia Information Systems; Special Purpose and Application-Based Systems; Support vector machines; Depression detection; Emotion elicitation; Speech elicitation; Multi-modal; Machine learning; Mobile crowd sensing

Depression has become a global concern, and COVID-19 also has caused a big surge in its incidence. Broadly, there are two primary methods of detecting depression: Task-based and Mobile Crowd Sensing (MCS) based methods. These two approaches, when integrated, can complement each other. This paper pro...