Development of a Light-Tracking and-Redirecting System Actuated by Hand-Gesture Recognition
Abstract:
This paper presents a context-Aware light-Tracking and-bkp_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 bkp_redirects light towards the position of the detected hand-gesture, while the third bkp_redirects it away from said position. Finally, the fourth gesture turns the light-Tracking and-bkp_redirecting system off.
Año de publicación:
2019
Keywords:
- Adaptive architecture
- Wireless Sensor Networks
- Active and Assisted Living
- internet of things
- ambient intelligence
Fuente:
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Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Ciencias de la computación
- Inteligencia artificial
- Ingeniería electrónica
Áreas temáticas:
- Física aplicada
- Métodos informáticos especiales
- Otras ramas de la ingeniería