A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors
Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, 80-233 Gdansk, Poland
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Sensors 2020, 20(21), 6367; https://doi.org/10.3390/s20216367
Received: 30 September 2020
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Revised: 29 October 2020
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Accepted: 5 November 2020
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Published: 8 November 2020
(This article belongs to the Special Issue Emotion Monitoring System Based on Sensors and Data Analysis)
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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Keywords:
affective computing; emotion recognition; smartphones; sensory data; sensors; human–computer interaction
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MDPI and ACS Style
Kołakowska, A.; Szwoch, W.; Szwoch, M. A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors. Sensors 2020, 20, 6367. https://doi.org/10.3390/s20216367
AMA Style
Kołakowska A, Szwoch W, Szwoch M. A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors. Sensors. 2020; 20(21):6367. https://doi.org/10.3390/s20216367
Chicago/Turabian StyleKołakowska, Agata, Wioleta Szwoch, and Mariusz Szwoch. 2020. "A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors" Sensors 20, no. 21: 6367. https://doi.org/10.3390/s20216367
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