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Artificial Intelligence for Suicide Assessment using Audiovisual Cues: A Review
- Publication Year :
- 2022
-
Abstract
- Death by suicide is the seventh leading death cause worldwide. The recent advancement in Artificial Intelligence (AI), specifically AI applications in image and voice processing, has created a promising opportunity to revolutionize suicide risk assessment. Subsequently, we have witnessed fast-growing literature of research that applies AI to extract audiovisual non-verbal cues for mental illness assessment. However, the majority of the recent works focus on depression, despite the evident difference between depression symptoms and suicidal behavior and non-verbal cues. This paper reviews recent works that study suicide ideation and suicide behavior detection through audiovisual feature analysis, mainly suicidal voice/speech acoustic features analysis and suicidal visual cues. Automatic suicide assessment is a promising research direction that is still in the early stages. Accordingly, there is a lack of large datasets that can be used to train machine learning and deep learning models proven to be effective in other, similar tasks.<br />Comment: Manuscript submitted to Arificial Intelligence Reviews (2022)
- Subjects :
- Computer Science - Artificial Intelligence
Computer Science - Computer Vision and Pattern Recognition
Computer Science - Computers and Society
Computer Science - Human-Computer Interaction
Computer Science - Machine Learning
Computer Science - Sound
Electrical Engineering and Systems Science - Audio and Speech Processing
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2201.09130
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1007/s10462-022-10290-6