Gesture recognition with transparent solar cells

Transparent solar cell is an emerging solar energy harvesting technology that allows us to see through these cells. This revolutionary discovery is creating unique opportunities to turn any mobile device screen into solar energy harvester. In this paper, we consider the possibility of using such ene...

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Main Authors: MA, Dong, LAN, Guohao, HASSAN, Mahbub, HU, Wen, UPAMA, B. Mushfika, UDDIN, Ashraf, YOUSEEF, Moustafa
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Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access:https://ink.library.smu.edu.sg/sis_research/7003
https://ink.library.smu.edu.sg/context/sis_research/article/8006/viewcontent/3267204.3267209.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-80062022-03-17T15:14:49Z Gesture recognition with transparent solar cells MA, Dong LAN, Guohao HASSAN, Mahbub HU, Wen UPAMA, B. Mushfika UDDIN, Ashraf YOUSEEF, Moustafa, Transparent solar cell is an emerging solar energy harvesting technology that allows us to see through these cells. This revolutionary discovery is creating unique opportunities to turn any mobile device screen into solar energy harvester. In this paper, we consider the possibility of using such energy harvesting screens as a sensor to detect hand gestures. As different gestures impact the incident light on the screen in a different way, they are expected to create unique energy generation patterns for the transparent solar cell. Our goal is to recognize gestures by detecting these solar energy patterns. A key uncertainty we face with transparent solar cell is that, to provide transparency, they cannot harvest from the visible spectra, which may lead to weaker energy patterns for the gestures. To study gesture recognition feasibility of transparent solar cell, we develop a 1cmx1cm organic see-through solar cell which provides high level of content visibility when placed on mobile phone screen. We then use the output current of the organic cell as the source signal for gesture pattern recognition using machine learning. Experimental results demonstrate that we can detect five hand gestures with average accuracies of 95%. We also compare gesture recognition accuracies of our prototype organic cell with those obtained from a conventional ceramic opaque solar cell, which reveals that organic solar cell can recognize some of these gestures almost as good as the opaque cells. 2018-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/7003 info:doi/10.1145/3267204.3267209 https://ink.library.smu.edu.sg/context/sis_research/article/8006/viewcontent/3267204.3267209.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Gesture Recognition Transparent Solar Cell Solar Energy Harvesting Artificial Intelligence and Robotics Graphics and Human Computer Interfaces
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Gesture Recognition
Transparent Solar Cell
Solar Energy Harvesting
Artificial Intelligence and Robotics
Graphics and Human Computer Interfaces
spellingShingle Gesture Recognition
Transparent Solar Cell
Solar Energy Harvesting
Artificial Intelligence and Robotics
Graphics and Human Computer Interfaces
MA, Dong
LAN, Guohao
HASSAN, Mahbub
HU, Wen
UPAMA, B. Mushfika
UDDIN, Ashraf
YOUSEEF,
Moustafa,
Gesture recognition with transparent solar cells
description Transparent solar cell is an emerging solar energy harvesting technology that allows us to see through these cells. This revolutionary discovery is creating unique opportunities to turn any mobile device screen into solar energy harvester. In this paper, we consider the possibility of using such energy harvesting screens as a sensor to detect hand gestures. As different gestures impact the incident light on the screen in a different way, they are expected to create unique energy generation patterns for the transparent solar cell. Our goal is to recognize gestures by detecting these solar energy patterns. A key uncertainty we face with transparent solar cell is that, to provide transparency, they cannot harvest from the visible spectra, which may lead to weaker energy patterns for the gestures. To study gesture recognition feasibility of transparent solar cell, we develop a 1cmx1cm organic see-through solar cell which provides high level of content visibility when placed on mobile phone screen. We then use the output current of the organic cell as the source signal for gesture pattern recognition using machine learning. Experimental results demonstrate that we can detect five hand gestures with average accuracies of 95%. We also compare gesture recognition accuracies of our prototype organic cell with those obtained from a conventional ceramic opaque solar cell, which reveals that organic solar cell can recognize some of these gestures almost as good as the opaque cells.
format text
author MA, Dong
LAN, Guohao
HASSAN, Mahbub
HU, Wen
UPAMA, B. Mushfika
UDDIN, Ashraf
YOUSEEF,
Moustafa,
author_facet MA, Dong
LAN, Guohao
HASSAN, Mahbub
HU, Wen
UPAMA, B. Mushfika
UDDIN, Ashraf
YOUSEEF,
Moustafa,
author_sort MA, Dong
title Gesture recognition with transparent solar cells
title_short Gesture recognition with transparent solar cells
title_full Gesture recognition with transparent solar cells
title_fullStr Gesture recognition with transparent solar cells
title_full_unstemmed Gesture recognition with transparent solar cells
title_sort gesture recognition with transparent solar cells
publisher Institutional Knowledge at Singapore Management University
publishDate 2018
url https://ink.library.smu.edu.sg/sis_research/7003
https://ink.library.smu.edu.sg/context/sis_research/article/8006/viewcontent/3267204.3267209.pdf
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