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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: | https://repositorio.uisek.edu.ec/handle/123456789/3993 |
ISBN: | 978-1-5386-4980-0 |
Appears in Collections: | Publicaciones UISEK |
Files in This Item:
File | Description | Size | Format | |
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978-1-5386-4980-0 LIU ALEXANDER 2019-04-18 1.pdf | 551.22 kB | Adobe PDF | View/Open |
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