Please use this identifier to cite or link to this item: http://repositorio.uisek.edu.ec/handle/123456789/3993
Title: Development of a light-tracking and -redirecting system actuated by hand-gesture recognition
Authors: Liu Cheng, Alexander
Llorca Vega, Néstor Andrés
Latorre, Galoget
Coba, Daniel
Keywords: INTERNET OF THINGS
WIRELESS SENSOR NETWORKS
AMBIENT INTELLIGENCE
ACTIVE AND ASSISTED LIVING
ADAPTIVE ARCHITECTURE
Issue Date: 18-Apr-2019
Publisher: IEEE
Citation: PUB L783deve/2019
Abstract: This paper presents a context-aware light- tracking and -redirecting system guided by hand-gesture recognition. It is conceived as yet another mechanism within an ongoing development of a more intuitive and technically sophisticated Ambient Intelligence / Active and Assisted Living ecosystem. The detailed system consists of individual nodes that are strategically installed across regions of a building- envelope, which enables this latter to draw or deflect direct natural light into or away from specific locations within the built-environment as requested by the user(s) via recognized hand-gestures. Each node is capable of sending and receiving sensed-data continuously via ZigBee with one another as well as with microcontrollers embedded within the interior built- environment. Said microcontrollers are equipped with cameras via which four hand-gestures may be recognized. The first or initializing hand-gesture engages the system and enables it to recognize any of the remaining hand-gestures. The second redirects light towards the position of the detected hand-gesture, while the third redirects it away from said position. Finally, the fourth gesture turns the light-tracking and -redirecting system off.
URI: http://repositorio.uisek.edu.ec/handle/123456789/3993
ISBN: 978-1-5386-4980-0
Appears in Collections:Publicaciones UISEK

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