Print Email Facebook Twitter Recognizing Hand Gestures using Solar Cells Title Recognizing Hand Gestures using Solar Cells Author Ma, Dong (Singapore Management University) Lan, G. (TU Delft Embedded Systems) Hu, Changshuo (University of New South Wales) Hassan, Mahbub (University of New South Wales) Hu, Wen (University of New South Wales) Mushfika, Upama (University of New South Wales) Uddin, Ashraf (University of New South Wales) Youssef, Moustafa (American University in Cairo; University of Alexandria) Date 2023 Abstract We design a system, SolarGest, which can recognize hand gestures near a solar-powered device by analyzing the patterns of the photocurrent. SolarGest is based on the observation that each gesture interferes with incident light rays on the solar panel in a unique way, leaving its discernible signature in harvested photocurrent. Using solar energy harvesting laws, we develop a model to optimize design and usage of SolarGest. To further improve the robustness of SolarGest under non-deterministic operating conditions, we combine dynamic time warping with Z-score transformation in a signal processing pipeline to pre-process each gesture waveform before it is analyzed for classification. We evaluate SolarGest with both conventional opaque solar cells as well as emerging see-through transparent cells. Our experiments demonstrate that SolarGest achieves 99% for six gestures with a single cell and 95% for fifteen gesture with a 2 × 2 solar cell array. The power measuement study suggests that SolarGest consume 44% less power compared to light sensor based systems. Subject Solar energy harvestingvisible light sensinggesture recognition To reference this document use: http://resolver.tudelft.nl/uuid:5ced4c11-304b-45e0-add2-83aec77539a0 DOI https://doi.org/10.1109/TMC.2022.3148143 Embargo date 2023-12-05 ISSN 1536-1233 Source IEEE Transactions on Mobile Computing, 22 (7), 4223 - 4235 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. Part of collection Institutional Repository Document type journal article Rights © 2023 Dong Ma, G. Lan, Changshuo Hu, Mahbub Hassan, Wen Hu, Upama Mushfika, Ashraf Uddin, Moustafa Youssef Files PDF Recognizing_Hand_Gestures ... _Cells.pdf 4.69 MB Close viewer /islandora/object/uuid:5ced4c11-304b-45e0-add2-83aec77539a0/datastream/OBJ/view