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dc.contributor.authorUgail, Hassan
dc.contributor.authorAl-dahoud, Ahmad
dc.date.accessioned2022-03-20T06:26:48Z
dc.date.accessioned2022-04-28T08:19:19Z
dc.date.available2022-03-20T06:26:48Z
dc.date.available2022-04-28T08:19:19Z
dc.date.issued2019-04-17
dc.identifier.citationUgail H and Al-dahoud A (2019) Computational Techniques for Human Smile Analysis. SpringerBriefs in Computer Science. Switzerland: SpringerNature.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18939
dc.descriptionNoen_US
dc.description.abstractHow many times have you smiled today? How many times have you frowned today? Ever thought of being in a state of self-consciousness to be able to relate your own mood with your facial emotional expressions? Perhaps with our present-day busy lives, we may not consider these as crucial questions. However, as researchers uncover more and more about the human emotional landscape they are learning the importance of understanding our emotions.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1007/978-3-030-15381-6en_US
dc.subjectFace analysisen_US
dc.subjectSmile analysisen_US
dc.subjectComputational methodsen_US
dc.subjectSmile dynamicsen_US
dc.subjectMachine learningen_US
dc.subjectFacial emotion analysisen_US
dc.titleComputational Techniques for Human Smile Analysisen_US
dc.status.refereedYesen_US
dc.typeBooken_US
dc.type.versionNo full-text in the repositoryen_US
dc.rights.licenseUnspecifieden_US
dc.date.updated2022-03-20T06:26:49Z
dc.openaccess.statusclosedAccessen_US


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