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An Intelligent Approach for Predicting Emotion Using Convolution Neural Network
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| Zeitschriftentitel: | Journal of Physics: Conference Series |
|---|---|
| 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: |
| author_facet |
Das, Sumit Synyal, Manas Kumar Upadhyay, Sourav Kumar Chatterjee, Supriyo Das, Sumit Synyal, Manas Kumar Upadhyay, Sourav Kumar Chatterjee, Supriyo |
|---|---|
| author |
Das, Sumit Synyal, Manas Kumar Upadhyay, Sourav Kumar Chatterjee, Supriyo |
| spellingShingle |
Das, Sumit Synyal, Manas Kumar Upadhyay, Sourav Kumar Chatterjee, Supriyo Journal of Physics: Conference Series An Intelligent Approach for Predicting Emotion Using Convolution Neural Network General Physics and Astronomy |
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das, sumit |
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Das, Sumit Synyal, Manas Kumar Upadhyay, Sourav Kumar Chatterjee, Supriyo 1742-6588 1742-6596 IOP Publishing General Physics and Astronomy http://dx.doi.org/10.1088/1742-6596/1797/1/012014 <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> An Intelligent Approach for Predicting Emotion Using Convolution Neural Network Journal of Physics: Conference Series |
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An Intelligent Approach for Predicting Emotion Using Convolution Neural Network |
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An Intelligent Approach for Predicting Emotion Using Convolution Neural Network |
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An Intelligent Approach for Predicting Emotion Using Convolution Neural Network |
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An Intelligent Approach for Predicting Emotion Using Convolution Neural Network |
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An Intelligent Approach for Predicting Emotion Using Convolution Neural Network |
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An Intelligent Approach for Predicting Emotion Using Convolution Neural Network |
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an intelligent approach for predicting emotion using convolution neural network |
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General Physics and Astronomy |
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http://dx.doi.org/10.1088/1742-6596/1797/1/012014 |
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<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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| description | <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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| spelling | Das, Sumit Synyal, Manas Kumar Upadhyay, Sourav Kumar Chatterjee, Supriyo 1742-6588 1742-6596 IOP Publishing General Physics and Astronomy http://dx.doi.org/10.1088/1742-6596/1797/1/012014 <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> An Intelligent Approach for Predicting Emotion Using Convolution Neural Network Journal of Physics: Conference Series |
| spellingShingle | Das, Sumit, Synyal, Manas Kumar, Upadhyay, Sourav Kumar, Chatterjee, Supriyo, Journal of Physics: Conference Series, An Intelligent Approach for Predicting Emotion Using Convolution Neural Network, General Physics and Astronomy |
| title | An Intelligent Approach for Predicting Emotion Using Convolution Neural Network |
| title_full | An Intelligent Approach for Predicting Emotion Using Convolution Neural Network |
| title_fullStr | An Intelligent Approach for Predicting Emotion Using Convolution Neural Network |
| title_full_unstemmed | An Intelligent Approach for Predicting Emotion Using Convolution Neural Network |
| title_short | An Intelligent Approach for Predicting Emotion Using Convolution Neural Network |
| title_sort | an intelligent approach for predicting emotion using convolution neural network |
| title_unstemmed | An Intelligent Approach for Predicting Emotion Using Convolution Neural Network |
| topic | General Physics and Astronomy |
| url | http://dx.doi.org/10.1088/1742-6596/1797/1/012014 |