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Understanding cartoon emotion using integrated deep neural network on large dataset · Study

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ArticleUnderstanding cartoon emotion using integrated deep neural network on large dataset

Nikita Jain2021

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Articlebronze2021

Understanding cartoon emotion using integrated deep neural network on large dataset

Nikita Jain · Vedika Gupta · Shubham Shubham · Agam Madan · KC Santosh

45 citations·0/0 files stored·Neural Computing and Applications

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Emotion and Mood Recognition Advanced Neural Network Applications Face recognition and analysis

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References

2001Emotion recognition in human-computer interaction 1976Measuring facial movement 1996How Good Is That Agreement?2021Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network 2016Emotion recognition in the wild from videos using images 2003Developing multimodal intelligent affective interfaces for tele-home health care 2008Speech Emotion Classification Using Machine Learning Algorithms 2014Facial expression recognition using active contour-based face detection, facial movement-based feature extraction, and non-linear feature selection

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2012A survey of methods for data fusion and system adaptation using autonomic nervous system responses in physiological computingarticle · 2 shared references 2024Advances in Facial Expression Recognition: A Survey of Methods, Benchmarks, Models, and Datasetsarticle · 2 shared references 2021Deep learning approaches for speech emotion recognition: state of the art and research challengesarticle · 2 shared references 2016The Psychophysiology Primer: A Guide to Methods and a Broad Review with a Focus on Human–Computer Interactionarticle · 2 shared references 2023Uncertainty-aware Label Distribution Learning for Facial Expression Recognitionother · 2 shared references 2009Perceiving emotion: towards a realistic understanding of the taskreview · 2 shared references

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Year2021

Typearticle

Published2021-04-21

VenueNeural Computing and Applications

ISSN-L0941-0643

Languageen

Citations45

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1007/s00521-021-06003-9

openalex_workW3156648560

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