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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7664622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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