Matches in SemOpenAlex for { <https://semopenalex.org/work/W3182078561> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W3182078561 abstract "Emotions convey concise information regarding an individual’s internal state, while in the long-term they can be used to form an opinion about his/her overall personality. The latter can be proved particularly vital in many human-robot interaction tasks, like in the case of an assisted living robotic agent, where the human’s mood may in turn require the adaptation of the robot’s behavior. As a result, the paper at hand proposes a novel approach enabling an artificial agent to conceive and gradually learn the personality of a human, by tracking his emotional variations throughout their interaction time. To achieve that, the facial landmarks of the subject are extracted and fed into a Deep Neural Network architecture that estimates the two coefficients of human emotions, viz., arousal and valence, as introduced by the broadly known Russell’s model. Finally, by creating a dashboard for user-friendly display of our results, we present both momentarily and in the long-term the monitored fluctuations of a person’s emotional state." @default.
- W3182078561 created "2021-07-19" @default.
- W3182078561 creator A5026897735 @default.
- W3182078561 creator A5071551656 @default.
- W3182078561 creator A5084139328 @default.
- W3182078561 date "2021-06-29" @default.
- W3182078561 modified "2023-10-18" @default.
- W3182078561 title "Learning Long-Term Behavior through Continuous Emotion Estimation" @default.
- W3182078561 cites W2045528981 @default.
- W3182078561 cites W2087681821 @default.
- W3182078561 cites W2164598857 @default.
- W3182078561 cites W2542806665 @default.
- W3182078561 cites W2604372349 @default.
- W3182078561 cites W2610961739 @default.
- W3182078561 cites W2620746916 @default.
- W3182078561 cites W2745497104 @default.
- W3182078561 cites W2912507201 @default.
- W3182078561 cites W2945459164 @default.
- W3182078561 cites W2991024021 @default.
- W3182078561 cites W2996906606 @default.
- W3182078561 cites W3091389496 @default.
- W3182078561 doi "https://doi.org/10.1145/3453892.3461626" @default.
- W3182078561 hasPublicationYear "2021" @default.
- W3182078561 type Work @default.
- W3182078561 sameAs 3182078561 @default.
- W3182078561 citedByCount "2" @default.
- W3182078561 countsByYear W31820785612023 @default.
- W3182078561 crossrefType "proceedings-article" @default.
- W3182078561 hasAuthorship W3182078561A5026897735 @default.
- W3182078561 hasAuthorship W3182078561A5071551656 @default.
- W3182078561 hasAuthorship W3182078561A5084139328 @default.
- W3182078561 hasConcept C107457646 @default.
- W3182078561 hasConcept C121332964 @default.
- W3182078561 hasConcept C139807058 @default.
- W3182078561 hasConcept C145460709 @default.
- W3182078561 hasConcept C154945302 @default.
- W3182078561 hasConcept C15744967 @default.
- W3182078561 hasConcept C168900304 @default.
- W3182078561 hasConcept C169760540 @default.
- W3182078561 hasConcept C180747234 @default.
- W3182078561 hasConcept C187288502 @default.
- W3182078561 hasConcept C2780733359 @default.
- W3182078561 hasConcept C36951298 @default.
- W3182078561 hasConcept C41008148 @default.
- W3182078561 hasConcept C50644808 @default.
- W3182078561 hasConcept C61797465 @default.
- W3182078561 hasConcept C62520636 @default.
- W3182078561 hasConcept C77805123 @default.
- W3182078561 hasConcept C90509273 @default.
- W3182078561 hasConceptScore W3182078561C107457646 @default.
- W3182078561 hasConceptScore W3182078561C121332964 @default.
- W3182078561 hasConceptScore W3182078561C139807058 @default.
- W3182078561 hasConceptScore W3182078561C145460709 @default.
- W3182078561 hasConceptScore W3182078561C154945302 @default.
- W3182078561 hasConceptScore W3182078561C15744967 @default.
- W3182078561 hasConceptScore W3182078561C168900304 @default.
- W3182078561 hasConceptScore W3182078561C169760540 @default.
- W3182078561 hasConceptScore W3182078561C180747234 @default.
- W3182078561 hasConceptScore W3182078561C187288502 @default.
- W3182078561 hasConceptScore W3182078561C2780733359 @default.
- W3182078561 hasConceptScore W3182078561C36951298 @default.
- W3182078561 hasConceptScore W3182078561C41008148 @default.
- W3182078561 hasConceptScore W3182078561C50644808 @default.
- W3182078561 hasConceptScore W3182078561C61797465 @default.
- W3182078561 hasConceptScore W3182078561C62520636 @default.
- W3182078561 hasConceptScore W3182078561C77805123 @default.
- W3182078561 hasConceptScore W3182078561C90509273 @default.
- W3182078561 hasLocation W31820785611 @default.
- W3182078561 hasOpenAccess W3182078561 @default.
- W3182078561 hasPrimaryLocation W31820785611 @default.
- W3182078561 hasRelatedWork W1544055438 @default.
- W3182078561 hasRelatedWork W2003077651 @default.
- W3182078561 hasRelatedWork W2070945224 @default.
- W3182078561 hasRelatedWork W2082734690 @default.
- W3182078561 hasRelatedWork W2096946329 @default.
- W3182078561 hasRelatedWork W2170701947 @default.
- W3182078561 hasRelatedWork W2341061771 @default.
- W3182078561 hasRelatedWork W2804649087 @default.
- W3182078561 hasRelatedWork W3122047163 @default.
- W3182078561 hasRelatedWork W3164137486 @default.
- W3182078561 isParatext "false" @default.
- W3182078561 isRetracted "false" @default.
- W3182078561 magId "3182078561" @default.
- W3182078561 workType "article" @default.