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DC Field | Value | Language |
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dc.contributor.author | Liu Cheng, Alexander | - |
dc.contributor.author | Bier, Henriette | - |
dc.contributor.author | Latorre, Galoget | - |
dc.date.accessioned | 2019-07-05T13:18:45Z | - |
dc.date.available | 2019-07-05T13:18:45Z | - |
dc.date.issued | 2018-12 | - |
dc.identifier.citation | PUB L783ac/2018 | es |
dc.identifier.issn | 978-1-5386-6657-9 | - |
dc.identifier.uri | https://repositorio.uisek.edu.ec/handle/123456789/3383 | - |
dc.description.abstract | This 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.sponsorship | Uisek | es |
dc.language.iso | eng | es |
dc.publisher | IEEE THIRD ECUADOR TECHNICAL CHAPTERS MEETING (ETCM) | es |
dc.rights | openAccess | es |
dc.subject | DESIGN-TO-ROBOTIC-PRODUCTION & -OPERATION | es |
dc.subject | WIRELESS SENSOR AND ACTUATOR NETWORKS | es |
dc.subject | FACIAL RECOGNITION | es |
dc.subject | AMBIENT INTELLIGENCE | es |
dc.subject | ADAPTIVE ARCHITECTURE | es |
dc.title | Actuation confirmation and negation via facial- identity and -expression recognition | es |
dc.type | info:eu-repo/semantics/article | es |
Appears in Collections: | Publicaciones UISEK |
Files in This Item:
File | Description | Size | Format | |
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9781538666579.pdf | 665.77 kB | Adobe PDF | View/Open |
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