Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386396970> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W4386396970 endingPage "1832" @default.
- W4386396970 startingPage "1817" @default.
- W4386396970 abstract "Emotion recognition based on facial expressions is one of the most critical elements of human-machine interfaces. Most conventional methods for emotion recognition using facial expressions use the entire facial image to extract features and then recognize specific emotions through a pre-trained model. In contrast, this paper proposes a novel feature vector extraction method using the Euclidean distance between the landmarks changing their positions according to facial expressions, especially around the eyes, eyebrows, nose, and mouth. Then, we apply a new classifier using an ensemble network to increase emotion recognition accuracy. The emotion recognition performance was compared with the conventional algorithms using public databases. The results indicated that the proposed method achieved higher accuracy than the traditional based on facial expressions for emotion recognition. In particular, our experiments with the FER2013 database show that our proposed method is robust to lighting conditions and backgrounds, with an average of 25% higher performance than previous studies. Consequently, the proposed method is expected to recognize facial expressions, especially fear and anger, to help prevent severe accidents by detecting security-related or dangerous actions in advance." @default.
- W4386396970 created "2023-09-03" @default.
- W4386396970 creator A5030024785 @default.
- W4386396970 creator A5071375375 @default.
- W4386396970 creator A5072004665 @default.
- W4386396970 creator A5086459150 @default.
- W4386396970 date "2023-01-01" @default.
- W4386396970 modified "2023-09-30" @default.
- W4386396970 title "Deep Facial Emotion Recognition Using Local Features Based on Facial Landmarks for Security System" @default.
- W4386396970 doi "https://doi.org/10.32604/cmc.2023.039460" @default.
- W4386396970 hasPublicationYear "2023" @default.
- W4386396970 type Work @default.
- W4386396970 citedByCount "0" @default.
- W4386396970 crossrefType "journal-article" @default.
- W4386396970 hasAuthorship W4386396970A5030024785 @default.
- W4386396970 hasAuthorship W4386396970A5071375375 @default.
- W4386396970 hasAuthorship W4386396970A5072004665 @default.
- W4386396970 hasAuthorship W4386396970A5086459150 @default.
- W4386396970 hasBestOaLocation W43863969701 @default.
- W4386396970 hasConcept C118552586 @default.
- W4386396970 hasConcept C120174047 @default.
- W4386396970 hasConcept C12267149 @default.
- W4386396970 hasConcept C144024400 @default.
- W4386396970 hasConcept C153180895 @default.
- W4386396970 hasConcept C154945302 @default.
- W4386396970 hasConcept C15744967 @default.
- W4386396970 hasConcept C195704467 @default.
- W4386396970 hasConcept C206310091 @default.
- W4386396970 hasConcept C2777438025 @default.
- W4386396970 hasConcept C2779302386 @default.
- W4386396970 hasConcept C2779304628 @default.
- W4386396970 hasConcept C28490314 @default.
- W4386396970 hasConcept C31510193 @default.
- W4386396970 hasConcept C31972630 @default.
- W4386396970 hasConcept C36289849 @default.
- W4386396970 hasConcept C41008148 @default.
- W4386396970 hasConcept C4641261 @default.
- W4386396970 hasConcept C52622490 @default.
- W4386396970 hasConcept C88799230 @default.
- W4386396970 hasConcept C95623464 @default.
- W4386396970 hasConceptScore W4386396970C118552586 @default.
- W4386396970 hasConceptScore W4386396970C120174047 @default.
- W4386396970 hasConceptScore W4386396970C12267149 @default.
- W4386396970 hasConceptScore W4386396970C144024400 @default.
- W4386396970 hasConceptScore W4386396970C153180895 @default.
- W4386396970 hasConceptScore W4386396970C154945302 @default.
- W4386396970 hasConceptScore W4386396970C15744967 @default.
- W4386396970 hasConceptScore W4386396970C195704467 @default.
- W4386396970 hasConceptScore W4386396970C206310091 @default.
- W4386396970 hasConceptScore W4386396970C2777438025 @default.
- W4386396970 hasConceptScore W4386396970C2779302386 @default.
- W4386396970 hasConceptScore W4386396970C2779304628 @default.
- W4386396970 hasConceptScore W4386396970C28490314 @default.
- W4386396970 hasConceptScore W4386396970C31510193 @default.
- W4386396970 hasConceptScore W4386396970C31972630 @default.
- W4386396970 hasConceptScore W4386396970C36289849 @default.
- W4386396970 hasConceptScore W4386396970C41008148 @default.
- W4386396970 hasConceptScore W4386396970C4641261 @default.
- W4386396970 hasConceptScore W4386396970C52622490 @default.
- W4386396970 hasConceptScore W4386396970C88799230 @default.
- W4386396970 hasConceptScore W4386396970C95623464 @default.
- W4386396970 hasIssue "2" @default.
- W4386396970 hasLocation W43863969701 @default.
- W4386396970 hasOpenAccess W4386396970 @default.
- W4386396970 hasPrimaryLocation W43863969701 @default.
- W4386396970 hasRelatedWork W1771356744 @default.
- W4386396970 hasRelatedWork W1775397219 @default.
- W4386396970 hasRelatedWork W2017517155 @default.
- W4386396970 hasRelatedWork W2124774371 @default.
- W4386396970 hasRelatedWork W2134472250 @default.
- W4386396970 hasRelatedWork W2347601237 @default.
- W4386396970 hasRelatedWork W2486556835 @default.
- W4386396970 hasRelatedWork W2914194627 @default.
- W4386396970 hasRelatedWork W4385813056 @default.
- W4386396970 hasRelatedWork W3158004940 @default.
- W4386396970 hasVolume "76" @default.
- W4386396970 isParatext "false" @default.
- W4386396970 isRetracted "false" @default.
- W4386396970 workType "article" @default.