FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2406543199> ?p ?o ?g. }

• W2406543199 endingPage "492" @default.
• W2406543199 startingPage "480" @default.
• W2406543199 abstract "Human psychological stress is a vast and highly complicated topic of study and research. The types and kinds of stress observed in humans vary among researchers. Also, to identify stress, many methods exist. Most of these methods are non-intrusive and are based on self-reporting and questionnaires which reduces the real-time efficacy of the procedure. Intrusive methods are, on the other hand, time consuming and cumbersome. The total problem of non-intrusive psychological stress detection from facial images can be visualized in three incremental stages: instantaneous analysis of subject, historical analysis of subject, and the subject’s environmental analysis. In this paper, we deal with instantaneous analysis of a subject. This means that the stress behavior of a subject is predicted for one moment of time using an image of his/her facial expression. In order to do so, we have conducted two surveys to establish the relationship between emotional compositions of a facial expression with stress and also to establish the relationship of individual emotions with stress. The novelty of the paper is 1) to establish relationships between the seven basic emotions (anger, contempt, disgust, fear, happy, sad, and surprise) and stress, 2) to establish relationship between emotional composition of a facial expression and stress, and 3) to predict a formula for evaluating stress in terms of emotional percentage mixture of a facial expression. In order to achieve the three goals, we use Facial Action Unit (AU) [1] coded image data to predict the emotional mixture of the facial expression in terms of the seven basic emotion percentages. An AU represents one of the many basic muscle movements that make up the facial expression. Then we analyze the survey outcomes to establish the relationship between individual emotions and stress. Finally we correlate the survey outcomes with the emotional mixture data obtained from the facial expression using Hidden Markov Model (HMM) approach to both establish a relationship of emotional composition with stress and to predict a formula for stress in terms of the seven basic emotion percentages jointly." @default.
• W2406543199 created "2016-06-24" @default.
• W2406543199 creator A5003944317 @default.
• W2406543199 creator A5082318770 @default.
• W2406543199 date "2013-07-20" @default.
• W2406543199 modified "2023-10-17" @default.
• W2406543199 title "Evaluating Instantaneous Psychological Stress from Emotional Composition of a Facial Expression" @default.
• W2406543199 cites W1588539311 @default.
• W2406543199 cites W1978935158 @default.
• W2406543199 cites W2017998013 @default.
• W2406543199 cites W2025175857 @default.
• W2406543199 cites W2027739286 @default.
• W2406543199 cites W2028522408 @default.
• W2406543199 cites W2080910743 @default.
• W2406543199 cites W2096180558 @default.
• W2406543199 cites W2098335992 @default.
• W2406543199 cites W2100425606 @default.
• W2406543199 cites W2103943262 @default.
• W2406543199 cites W2107444098 @default.
• W2406543199 cites W2125127226 @default.
• W2406543199 cites W2125838338 @default.
• W2406543199 cites W2127462305 @default.
• W2406543199 cites W2159017231 @default.
• W2406543199 cites W2162138055 @default.
• W2406543199 cites W2165750466 @default.
• W2406543199 cites W2169340948 @default.
• W2406543199 cites W2171645188 @default.
• W2406543199 cites W2475823583 @default.
• W2406543199 cites W2506350496 @default.
• W2406543199 cites W4232953883 @default.
• W2406543199 doi "https://doi.org/10.20965/jaciii.2013.p0480" @default.
• W2406543199 hasPublicationYear "2013" @default.
• W2406543199 type Work @default.
• W2406543199 sameAs 2406543199 @default.
• W2406543199 citedByCount "7" @default.
• W2406543199 countsByYear W24065431992016 @default.
• W2406543199 countsByYear W24065431992017 @default.
• W2406543199 countsByYear W24065431992018 @default.
• W2406543199 countsByYear W24065431992019 @default.
• W2406543199 countsByYear W24065431992020 @default.
• W2406543199 countsByYear W24065431992021 @default.
• W2406543199 countsByYear W24065431992022 @default.
• W2406543199 crossrefType "journal-article" @default.
• W2406543199 hasAuthorship W2406543199A5003944317 @default.
• W2406543199 hasAuthorship W2406543199A5082318770 @default.
• W2406543199 hasBestOaLocation W24065431991 @default.
• W2406543199 hasConcept C138885662 @default.
• W2406543199 hasConcept C143110190 @default.
• W2406543199 hasConcept C154945302 @default.
• W2406543199 hasConcept C15744967 @default.
• W2406543199 hasConcept C161191863 @default.
• W2406543199 hasConcept C180747234 @default.
• W2406543199 hasConcept C195704467 @default.
• W2406543199 hasConcept C199360897 @default.
• W2406543199 hasConcept C206310091 @default.
• W2406543199 hasConcept C21036866 @default.
• W2406543199 hasConcept C2777316895 @default.
• W2406543199 hasConcept C2777375102 @default.
• W2406543199 hasConcept C2777855551 @default.
• W2406543199 hasConcept C2778738651 @default.
• W2406543199 hasConcept C2779302386 @default.
• W2406543199 hasConcept C2780343955 @default.
• W2406543199 hasConcept C41008148 @default.
• W2406543199 hasConcept C41895202 @default.
• W2406543199 hasConcept C77805123 @default.
• W2406543199 hasConcept C90559484 @default.
• W2406543199 hasConceptScore W2406543199C138885662 @default.
• W2406543199 hasConceptScore W2406543199C143110190 @default.
• W2406543199 hasConceptScore W2406543199C154945302 @default.
• W2406543199 hasConceptScore W2406543199C15744967 @default.
• W2406543199 hasConceptScore W2406543199C161191863 @default.
• W2406543199 hasConceptScore W2406543199C180747234 @default.
• W2406543199 hasConceptScore W2406543199C195704467 @default.
• W2406543199 hasConceptScore W2406543199C199360897 @default.
• W2406543199 hasConceptScore W2406543199C206310091 @default.
• W2406543199 hasConceptScore W2406543199C21036866 @default.
• W2406543199 hasConceptScore W2406543199C2777316895 @default.
• W2406543199 hasConceptScore W2406543199C2777375102 @default.
• W2406543199 hasConceptScore W2406543199C2777855551 @default.
• W2406543199 hasConceptScore W2406543199C2778738651 @default.
• W2406543199 hasConceptScore W2406543199C2779302386 @default.
• W2406543199 hasConceptScore W2406543199C2780343955 @default.
• W2406543199 hasConceptScore W2406543199C41008148 @default.
• W2406543199 hasConceptScore W2406543199C41895202 @default.
• W2406543199 hasConceptScore W2406543199C77805123 @default.
• W2406543199 hasConceptScore W2406543199C90559484 @default.
• W2406543199 hasIssue "4" @default.
• W2406543199 hasLocation W24065431991 @default.
• W2406543199 hasOpenAccess W2406543199 @default.
• W2406543199 hasPrimaryLocation W24065431991 @default.
• W2406543199 hasRelatedWork W2025089570 @default.
• W2406543199 hasRelatedWork W2054236332 @default.
• W2406543199 hasRelatedWork W2140157036 @default.
• W2406543199 hasRelatedWork W2376611618 @default.
• W2406543199 hasRelatedWork W2514450782 @default.
• W2406543199 hasRelatedWork W2784693000 @default.
• W2406543199 hasRelatedWork W2947045439 @default.
• W2406543199 hasRelatedWork W3159642023 @default.

• next