Please use this identifier to cite or link to this item: http://repositorio.uisek.edu.ec/handle/123456789/3383
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dc.contributor.authorLiu Cheng, Alexander-
dc.contributor.authorBier, Henriette-
dc.contributor.authorLatorre, Galoget-
dc.date.accessioned2019-07-05T13:18:45Z-
dc.date.available2019-07-05T13:18:45Z-
dc.date.issued2018-12-
dc.identifier.citationPUB L783ac/2018es
dc.identifier.issn978-1-5386-6657-9-
dc.identifier.urihttp://repositorio.uisek.edu.ec/handle/123456789/3383-
dc.description.abstractThis paper presents the implementation of a facial-identity and -expression recognition mechanism that confirms or negates physical and/or computational actuations in an intelligent built-environment. Said mechanism is built via Google Brain’s TensorFlow (as regards facial identity recognition) and Google Cloud Platform’s Cloud Vision API (as regards facial gesture recognition); and it is integrated into the ongoing development of an intelligent built-environment framework, viz., Design-to-Robotic-Production & -Operation (D2RP&O), conceived at Delft University of Technology (TUD). The present work builds on the inherited technological ecosystem and technical functionality of the Design-to-Robotic- Operation (D2RO) component of said framework; and its implementation is validated via two scenarios (physical and computational). In the first scenario—and building on an inherited adaptive mechanism—if building-skin components perceive a rise in interior temperature levels, natural ventilation is promoted by increasing degrees of aperture. This measure is presently confirmed or negated by a corresponding facial expression on the part of the user in response to said reaction, which serves as an intuitive override / feedback mechanism to the intelligent building-skin mechanism’s decision-making process. In the second scenario—and building on another inherited mechanism—if an accidental fall is detected and the user remains consciously or unconsciously collapsed, a series of automated emergency notifications (e.g., SMS, email, etc.) are sent to family and/or care-takers by particular mechanisms in the intelligent built-environment. The precision of this measure and its execution are presently confirmed by (a) identity detection of the victim, and (b) recognition of a reflexive facial gesture of pain and/or displeasure. The work presented in this paper promotes a considered relationship between the architecture of the built- environment and the Information and Communication Technologies (ICTs) embedded and/or deployed.es
dc.description.sponsorshipUisekes
dc.language.isoenges
dc.publisherIEEE THIRD ECUADOR TECHNICAL CHAPTERS MEETING (ETCM)es
dc.rightsopenAccesses
dc.subjectDESIGN-TO-ROBOTIC-PRODUCTION & -OPERATIONes
dc.subjectWIRELESS SENSOR AND ACTUATOR NETWORKSes
dc.subjectFACIAL RECOGNITIONes
dc.subjectAMBIENT INTELLIGENCEes
dc.subjectADAPTIVE ARCHITECTUREes
dc.titleActuation confirmation and negation via facial- identity and -expression recognitiones
dc.typeinfo:eu-repo/semantics/articlees
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