Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning
Bringing emotion recognition (ER) out of the controlled laboratory setup into everyday life can enable applications targeted at a broader population, e.g., helping people with psychological disorders, assisting kids with autism, monitoring the elderly, and general improvement of well-being. This wor...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/3/496 |
| _version_ | 1797488243981156352 |
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| author | Stanisław Saganowski |
| author_facet | Stanisław Saganowski |
| author_sort | Stanisław Saganowski |
| collection | DOAJ |
| description | Bringing emotion recognition (ER) out of the controlled laboratory setup into everyday life can enable applications targeted at a broader population, e.g., helping people with psychological disorders, assisting kids with autism, monitoring the elderly, and general improvement of well-being. This work reviews progress in sensors and machine learning methods and techniques that have made it possible to move ER from the lab to the field in recent years. In particular, the commercially available sensors collecting physiological data, signal processing techniques, and deep learning architectures used to predict emotions are discussed. A survey on existing systems for recognizing emotions in real-life scenarios—their possibilities, limitations, and identified problems—is also provided. The review is concluded with a debate on what challenges need to be overcome in the domain in the near future. |
| first_indexed | 2024-03-10T00:00:21Z |
| format | Article |
| id | doaj.art-64b12f3d66984c8a960970402ff2d76d |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T00:00:21Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-64b12f3d66984c8a960970402ff2d76d2023-11-23T16:17:52ZengMDPI AGElectronics2079-92922022-02-0111349610.3390/electronics11030496Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine LearningStanisław Saganowski0Department of Artificial Intelligence, Wrocław University of Science and Technology, 50-370 Wrocław, PolandBringing emotion recognition (ER) out of the controlled laboratory setup into everyday life can enable applications targeted at a broader population, e.g., helping people with psychological disorders, assisting kids with autism, monitoring the elderly, and general improvement of well-being. This work reviews progress in sensors and machine learning methods and techniques that have made it possible to move ER from the lab to the field in recent years. In particular, the commercially available sensors collecting physiological data, signal processing techniques, and deep learning architectures used to predict emotions are discussed. A survey on existing systems for recognizing emotions in real-life scenarios—their possibilities, limitations, and identified problems—is also provided. The review is concluded with a debate on what challenges need to be overcome in the domain in the near future.https://www.mdpi.com/2079-9292/11/3/496emotion recognitionfield studieswearablessignal processingmachine learningreview |
| spellingShingle | Stanisław Saganowski Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning Electronics emotion recognition field studies wearables signal processing machine learning review |
| title | Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning |
| title_full | Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning |
| title_fullStr | Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning |
| title_full_unstemmed | Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning |
| title_short | Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning |
| title_sort | bringing emotion recognition out of the lab into real life recent advances in sensors and machine learning |
| topic | emotion recognition field studies wearables signal processing machine learning review |
| url | https://www.mdpi.com/2079-9292/11/3/496 |
| work_keys_str_mv | AT stanisławsaganowski bringingemotionrecognitionoutofthelabintorealliferecentadvancesinsensorsandmachinelearning |