Development of a Light-Tracking and-Redirecting System Actuated by Hand-Gesture Recognition
A. Liu Cheng (Universidad Internacional SEK Ecuador, TU Delft - Architectural Engineering)
Nestor Llorca Vega (Universidad Internacional SEK Ecuador, Universidad de Alcalá)
Galoget Latorre (Escuela Politecnica Nacional)
Daniel Coba (Universidad Internacional SEK Ecuador)
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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.