Development of a Light-Tracking and-Redirecting System Actuated by Hand-Gesture Recognition


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.

Año de publicación:

2019

Keywords:

  • Adaptive architecture
  • Wireless Sensor Networks
  • Active and Assisted Living
  • internet of things
  • ambient intelligence

Fuente:

scopusscopus
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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 de Dewey:

  • Física aplicada
  • Métodos informáticos especiales
  • Otras ramas de la ingeniería
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 3: Salud y bienestar
  • ODS 11: Ciudades y comunidades sostenibles
  • ODS 9: Industria, innovación e infraestructura
Procesado con IAProcesado con IA