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An Intelligent Approach for Predicting Emotion Using Convolution Neural Network
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| Zeitschriftentitel: | Journal of Physics: Conference Series |
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| Personen und Körperschaften: | , , , |
| In: | Journal of Physics: Conference Series, 1797, 2021, 1, S. 012014 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
IOP Publishing
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| Schlagwörter: |
| Zusammenfassung: | <jats:title>Abstract</jats:title> <jats:p>Emotions have started controlling not only the way as humans; interact with other living beings but also the way we interact with computers. Emotions have started controlling our every decision like going to a shop again, purchasing a particular product, helping a person, and many others. The developments in the field of artificial intelligence and computer vision have further attracted the attention of people to work in this area. In this work we have designed a real-time emotion recognition system that can recognize the emotions of a person from his facial expressions. The system uses machine learning techniques for performing the task and has been implemented using the python programming language. This system can have a lot of useful applications in real-life scenarios such as old age health monitoring, determining the comfort level of a patient during medical treatment, recognizing the emotions in patients suffering from neurological diseases, not dispensing the money from an ATM if the withdrawer is nervous, determining tiredness or sleepiness during driving and raising an alert, facial emotion detection in interviews, taking feedback of customers visiting a store and later using that for fine-tuning market strategies and many others. It believes this work will be very useful to critical heath care monitoring and management in this advance era of artificial intelligence.</jats:p> |
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| Umfang: | 012014 |
| ISSN: |
1742-6588
1742-6596 |
| DOI: | 10.1088/1742-6596/1797/1/012014 |