Por favor, use este identificador para citar o enlazar este ítem: http://repositorio.uisek.edu.ec/handle/123456789/3993
Título : Development of a light-tracking and -redirecting system actuated by hand-gesture recognition
Autor : Liu Cheng, Alexander
Llorca Vega, Néstor Andrés
Latorre, Galoget
Coba, Daniel
Palabras clave : INTERNET OF THINGS
WIRELESS SENSOR NETWORKS
AMBIENT INTELLIGENCE
ACTIVE AND ASSISTED LIVING
ADAPTIVE ARCHITECTURE
Fecha de publicación : 18-abr-2019
Editorial : IEEE
Citación : PUB L783deve/2019
Resumen : 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 : https://repositorio.uisek.edu.ec/handle/123456789/3993
ISBN : 978-1-5386-4980-0
Aparece en las colecciones: Publicaciones UISEK

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978-1-5386-4980-0 LIU ALEXANDER 2019-04-18 1.pdf551.22 kBAdobe PDFVisualizar/Abrir


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