Please use this identifier to cite or link to this item: http://repositorio.uisek.edu.ec/handle/123456789/3383
Title: Actuation confirmation and negation via facial- identity and -expression recognition
Authors: Liu Cheng, Alexander
Bier, Henriette
Latorre, Galoget
Keywords: DESIGN-TO-ROBOTIC-PRODUCTION & -OPERATION
WIRELESS SENSOR AND ACTUATOR NETWORKS
FACIAL RECOGNITION
AMBIENT INTELLIGENCE
ADAPTIVE ARCHITECTURE
Issue Date: Dec-2018
Publisher: IEEE THIRD ECUADOR TECHNICAL CHAPTERS MEETING (ETCM)
Citation: PUB L783ac/2018
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.
URI: http://repositorio.uisek.edu.ec/handle/123456789/3383
ISSN: 978-1-5386-6657-9
Appears in Collections:Publicaciones UISEK

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