Depression detection using audio-visual data and artificial intelligence: A systematic mapping study

Balbuena J.; Samamé H.; Almeyda S.; Mendoza J.; Pow-Sang J.A. · Advances in Intelligent Systems and Computing (2021) · DOI: 10.1007/978-981-15-5859-7_29

Resumen

Major depression disorder is a mental issue that has been increasing in the last decade, in consequence, prediction or detection of this mental disorder in early stages is necessary. Artificial intelligence techniques have been developed in order to ease the diagnosis of different illnesses, including depression, using audio-visual information such as voice or video recordings and medical images. This research field is growing, and some organizations and descriptions are required. In the present work, a systematic mapping study was conducted in order to summarize the factors involved in depression detection such as artificial intelligence techniques, source of information, and depression scales. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021.

Instituciones: Pontificia Universidad Católica del Perú