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A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors

In recent years, emotion recognition algorithms have achieved high efficiency, allowing the development of various affective and affect-aware applications. This advancement has taken place mainly in the environment of personal computers offering the appropriate hardware and sufficient power to proce...

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Detalles Bibliográficos
Autores principales: Kołakowska, Agata, Szwoch, Wioleta, Szwoch, Mariusz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664622/
https://www.ncbi.nlm.nih.gov/pubmed/33171646
http://dx.doi.org/10.3390/s20216367
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author Kołakowska, Agata
Szwoch, Wioleta
Szwoch, Mariusz
author_facet Kołakowska, Agata
Szwoch, Wioleta
Szwoch, Mariusz
author_sort Kołakowska, Agata
collection PubMed
description In recent years, emotion recognition algorithms have achieved high efficiency, allowing the development of various affective and affect-aware applications. This advancement has taken place mainly in the environment of personal computers offering the appropriate hardware and sufficient power to process complex data from video, audio, and other channels. However, the increase in computing and communication capabilities of smartphones, the variety of their built-in sensors, as well as the availability of cloud computing services have made them an environment in which the task of recognising emotions can be performed at least as effectively. This is possible and particularly important due to the fact that smartphones and other mobile devices have become the main computer devices used by most people. This article provides a systematic overview of publications from the last 10 years related to emotion recognition methods using smartphone sensors. The characteristics of the most important sensors in this respect are presented, and the methods applied to extract informative features on the basis of data read from these input channels. Then, various machine learning approaches implemented to recognise emotional states are described.
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spelling pubmed-76646222020-11-14 A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors Kołakowska, Agata Szwoch, Wioleta Szwoch, Mariusz Sensors (Basel) Review In recent years, emotion recognition algorithms have achieved high efficiency, allowing the development of various affective and affect-aware applications. This advancement has taken place mainly in the environment of personal computers offering the appropriate hardware and sufficient power to process complex data from video, audio, and other channels. However, the increase in computing and communication capabilities of smartphones, the variety of their built-in sensors, as well as the availability of cloud computing services have made them an environment in which the task of recognising emotions can be performed at least as effectively. This is possible and particularly important due to the fact that smartphones and other mobile devices have become the main computer devices used by most people. This article provides a systematic overview of publications from the last 10 years related to emotion recognition methods using smartphone sensors. The characteristics of the most important sensors in this respect are presented, and the methods applied to extract informative features on the basis of data read from these input channels. Then, various machine learning approaches implemented to recognise emotional states are described. MDPI 2020-11-08 /pmc/articles/PMC7664622/ /pubmed/33171646 http://dx.doi.org/10.3390/s20216367 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Kołakowska, Agata
Szwoch, Wioleta
Szwoch, Mariusz
A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors
title A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors
title_full A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors
title_fullStr A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors
title_full_unstemmed A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors
title_short A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors
title_sort review of emotion recognition methods based on data acquired via smartphone sensors
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664622/
https://www.ncbi.nlm.nih.gov/pubmed/33171646
http://dx.doi.org/10.3390/s20216367
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