TY - CHAP
T1 - Depression detection using audio-visual data and artificial intelligence
T2 - A systematic mapping study
AU - Balbuena, José
AU - Samamé, Hilda
AU - Almeyda, Silvana
AU - Mendoza, Juan
AU - Pow-Sang, José Antonio
N1 - Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Deep learning
KW - Depression detection
KW - Machine learning
KW - Systematic mapping study
KW - Video
KW - Voice
UR - http://www.scopus.com/inward/record.url?scp=85091942829&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-5859-7_29
DO - 10.1007/978-981-15-5859-7_29
M3 - Chapter
AN - SCOPUS:85091942829
T3 - Advances in Intelligent Systems and Computing
SP - 296
EP - 306
BT - Advances in Intelligent Systems and Computing
PB - Springer Science and Business Media Deutschland GmbH
ER -
