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

Alexander Liu Cheng, Nestor Llorca Vega, Galoget Latorre, Daniel Coba

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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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.

Original languageEnglish
Title of host publicationProceedings of the IEEE 5th World Forum on Internet of Things (WF-IoT)
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Pages702-706
Number of pages5
ISBN (Electronic)978-1-5386-4980-0
DOIs
Publication statusPublished - 2019
Event2019 IEEE 5th World Forum on Internet of Things (WF-IoT) - Limerick, Ireland
Duration: 15 Apr 201918 Apr 2019

Conference

Conference2019 IEEE 5th World Forum on Internet of Things (WF-IoT)
CountryIreland
CityLimerick
Period15/04/1918/04/19

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Active and Assisted Living
  • Adaptive Architecture
  • Ambient Intelligence
  • Internet of Things
  • Wireless Sensor Networks

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