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

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

doi:10.1109/WF-IoT.2019.8767257

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

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

Architectural Engineering

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

2 Citations (SciVal)

45 Downloads (Pure)

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 language	English
Title of host publication	Proceedings of the IEEE 5th World Forum on Internet of Things (WF-IoT)
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Pages	702-706
Number of pages	5
ISBN (Electronic)	978-1-5386-4980-0
DOIs	https://doi.org/10.1109/WF-IoT.2019.8767257
Publication status	Published - 2019
Event	2019 IEEE 5th World Forum on Internet of Things (WF-IoT) - Limerick, Ireland Duration: 15 Apr 2019 → 18 Apr 2019

Conference

Conference	2019 IEEE 5th World Forum on Internet of Things (WF-IoT)
Country/Territory	Ireland
City	Limerick
Period	15/04/19 → 18/04/19

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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10.1109/WF-IoT.2019.8767257

08767257Final published version, 610 KB

Cite this

@inproceedings{d81718f0e9504b8fb00861c0df700ada,

title = "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.",

keywords = "Active and Assisted Living, Adaptive Architecture, Ambient Intelligence, Internet of Things, Wireless Sensor Networks",

author = "Cheng, \{Alexander Liu\} and Vega, \{Nestor Llorca\} and Galoget Latorre and Daniel Coba",

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.; 2019 IEEE 5th World Forum on Internet of Things (WF-IoT) ; Conference date: 15-04-2019 Through 18-04-2019",

year = "2019",

doi = "10.1109/WF-IoT.2019.8767257",

language = "English",

pages = "702--706",

booktitle = "Proceedings of the IEEE 5th World Forum on Internet of Things (WF-IoT)",

publisher = "IEEE",

address = "United States",

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Cheng, AL, Vega, NL, Latorre, G & Coba, D 2019, Development of a Light-Tracking and-Redirecting System Actuated by Hand-Gesture Recognition. in Proceedings of the IEEE 5th World Forum on Internet of Things (WF-IoT). IEEE, Piscataway, NJ, USA, pp. 702-706, 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), Limerick, Ireland, 15/04/19. https://doi.org/10.1109/WF-IoT.2019.8767257

Development of a Light-Tracking and-Redirecting System Actuated by Hand-Gesture Recognition. / Cheng, Alexander Liu; Vega, Nestor Llorca; Latorre, Galoget et al.
Proceedings of the IEEE 5th World Forum on Internet of Things (WF-IoT). Piscataway, NJ, USA: IEEE, 2019. p. 702-706.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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N1 - 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.

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AB - 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.

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M3 - Conference contribution

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EP - 706

BT - Proceedings of the IEEE 5th World Forum on Internet of Things (WF-IoT)

PB - IEEE

CY - Piscataway, NJ, USA

T2 - 2019 IEEE 5th World Forum on Internet of Things (WF-IoT)

Y2 - 15 April 2019 through 18 April 2019

ER -

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

Abstract

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Bibliographical note

Keywords

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The Intelligent Built-Environment as Cyber-Physical System

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