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

José Balbuena; Hilda Samamé; Silvana Almeyda; Juan Mendoza; José Antonio Pow-Sang

doi:10.1007/978-981-15-5859-7_29

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

José Balbuena
, Hilda Samamé
, Silvana Almeyda
, Juan Mendoza
, José Antonio Pow-Sang

Pontifical Catholic Univ. of Peru

Producción científica: Capítulo del libro/informe/acta de congreso › Capítulo › revisión exhaustiva

5 Citas (Scopus)

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.

Idioma original	Inglés
Título de la publicación alojada	Advances in Intelligent Systems and Computing
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	296-306
Número de páginas	11
DOI	https://doi.org/10.1007/978-981-15-5859-7_29
Estado	Publicada - 2021

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1184
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 3: Salud y bienestar

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10.1007/978-981-15-5859-7_29

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Balbuena, J., Samamé, H., Almeyda, S., Mendoza, J., & Pow-Sang, J. A. (2021). Depression detection using audio-visual data and artificial intelligence: A systematic mapping study. En Advances in Intelligent Systems and Computing (pp. 296-306). (Advances in Intelligent Systems and Computing; Vol. 1184). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-5859-7_29

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Balbuena, J, Samamé, H, Almeyda, S, Mendoza, J & Pow-Sang, JA 2021, Depression detection using audio-visual data and artificial intelligence: A systematic mapping study. En Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing, vol. 1184, Springer Science and Business Media Deutschland GmbH, pp. 296-306. https://doi.org/10.1007/978-981-15-5859-7_29

Depression detection using audio-visual data and artificial intelligence: A systematic mapping study. / Balbuena, José; Samamé, Hilda; Almeyda, Silvana et al.
Advances in Intelligent Systems and Computing. Springer Science and Business Media Deutschland GmbH, 2021. p. 296-306 (Advances in Intelligent Systems and Computing; Vol. 1184).

Producción científica: Capítulo del libro/informe/acta de congreso › Capítulo › revisión exhaustiva

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AU - Balbuena, José

AU - Samamé, Hilda

AU - Almeyda, Silvana

AU - Mendoza, Juan

AU - Pow-Sang, José Antonio

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PY - 2021

Y1 - 2021

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KW - Deep learning

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

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