Matches in SemOpenAlex for { <https://semopenalex.org/work/W4224253876> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W4224253876 abstract "Humans express their emotions through facial expressions. On the other hand, facial expression recognition has remained a difficult and fascinating subject in computer vision. For recognition of emotions is difficult because of the lack of a landmark demarcation between the emotions on the face, as well as the complexity and variety. In this paper, the human emotional states through facial expression are finding through the Convolutional neural network model. Firstly, the images have been taken from the publically Jaffe (Japanese female facial expression) and KDEF (Karolinska Directed Emotional Faces) dataset. After the dataset is taken the threshold technique has been applied for removing the background in the image for improving accuracy. Therefore, the proposed CNN model achieves higher accuracy as compared toprevious state-of-the-art techniques for emotion recognition." @default.
- W4224253876 created "2022-04-26" @default.
- W4224253876 creator A5033658073 @default.
- W4224253876 creator A5063545664 @default.
- W4224253876 date "2022-03-09" @default.
- W4224253876 modified "2023-09-29" @default.
- W4224253876 title "A Deep Learning Model for Human Emotion Recognition on Small Dataset" @default.
- W4224253876 cites W2129442134 @default.
- W4224253876 cites W2139795045 @default.
- W4224253876 cites W2506506742 @default.
- W4224253876 cites W2518587879 @default.
- W4224253876 cites W2796830519 @default.
- W4224253876 cites W2908671501 @default.
- W4224253876 cites W2969889150 @default.
- W4224253876 cites W909808580 @default.
- W4224253876 doi "https://doi.org/10.1109/esci53509.2022.9758261" @default.
- W4224253876 hasPublicationYear "2022" @default.
- W4224253876 type Work @default.
- W4224253876 citedByCount "1" @default.
- W4224253876 countsByYear W42242538762023 @default.
- W4224253876 crossrefType "proceedings-article" @default.
- W4224253876 hasAuthorship W4224253876A5033658073 @default.
- W4224253876 hasAuthorship W4224253876A5063545664 @default.
- W4224253876 hasConcept C108583219 @default.
- W4224253876 hasConcept C115961682 @default.
- W4224253876 hasConcept C136197465 @default.
- W4224253876 hasConcept C144024400 @default.
- W4224253876 hasConcept C153180895 @default.
- W4224253876 hasConcept C154945302 @default.
- W4224253876 hasConcept C195704467 @default.
- W4224253876 hasConcept C199360897 @default.
- W4224253876 hasConcept C206310091 @default.
- W4224253876 hasConcept C2777438025 @default.
- W4224253876 hasConcept C2779304628 @default.
- W4224253876 hasConcept C2780297707 @default.
- W4224253876 hasConcept C28490314 @default.
- W4224253876 hasConcept C2987714656 @default.
- W4224253876 hasConcept C31510193 @default.
- W4224253876 hasConcept C36289849 @default.
- W4224253876 hasConcept C41008148 @default.
- W4224253876 hasConcept C81363708 @default.
- W4224253876 hasConcept C90559484 @default.
- W4224253876 hasConceptScore W4224253876C108583219 @default.
- W4224253876 hasConceptScore W4224253876C115961682 @default.
- W4224253876 hasConceptScore W4224253876C136197465 @default.
- W4224253876 hasConceptScore W4224253876C144024400 @default.
- W4224253876 hasConceptScore W4224253876C153180895 @default.
- W4224253876 hasConceptScore W4224253876C154945302 @default.
- W4224253876 hasConceptScore W4224253876C195704467 @default.
- W4224253876 hasConceptScore W4224253876C199360897 @default.
- W4224253876 hasConceptScore W4224253876C206310091 @default.
- W4224253876 hasConceptScore W4224253876C2777438025 @default.
- W4224253876 hasConceptScore W4224253876C2779304628 @default.
- W4224253876 hasConceptScore W4224253876C2780297707 @default.
- W4224253876 hasConceptScore W4224253876C28490314 @default.
- W4224253876 hasConceptScore W4224253876C2987714656 @default.
- W4224253876 hasConceptScore W4224253876C31510193 @default.
- W4224253876 hasConceptScore W4224253876C36289849 @default.
- W4224253876 hasConceptScore W4224253876C41008148 @default.
- W4224253876 hasConceptScore W4224253876C81363708 @default.
- W4224253876 hasConceptScore W4224253876C90559484 @default.
- W4224253876 hasLocation W42242538761 @default.
- W4224253876 hasOpenAccess W4224253876 @default.
- W4224253876 hasPrimaryLocation W42242538761 @default.
- W4224253876 hasRelatedWork W1604550738 @default.
- W4224253876 hasRelatedWork W2014713986 @default.
- W4224253876 hasRelatedWork W2169126105 @default.
- W4224253876 hasRelatedWork W2401830443 @default.
- W4224253876 hasRelatedWork W2893416624 @default.
- W4224253876 hasRelatedWork W2987988558 @default.
- W4224253876 hasRelatedWork W3000095492 @default.
- W4224253876 hasRelatedWork W3180630304 @default.
- W4224253876 hasRelatedWork W3186847174 @default.
- W4224253876 hasRelatedWork W4224253876 @default.
- W4224253876 isParatext "false" @default.
- W4224253876 isRetracted "false" @default.
- W4224253876 workType "article" @default.