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Recognizing Hand Gestures Using Solar Cells
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DOI：10.1109/TMC.2022.3148143.png)
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Abstract
En 中文
We design a system, Solar Gest, which can recognize hand gestures near a solar-powered device by analyzing the patterns of the photocurrent. Solar Gest 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 Solar Gest. To further improve the robustness of Solar Gest 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 Solar Gest with both conventional opaque solar cells as well as emerging see-through transparent cells. Our experiments demonstrate that Solar Gest achieves 99% for six gestures with a single cell and 95% for fifteen gesture with a 2x2 solar cell array. The power measuement study suggests that Solar Gest consume 44% less power compared to light sensor based systems.
Keywords:
Photovoltaic cells
Photoconductivity
Gesture recognition
Solar panels
Energy harvesting
Three-dimensional displays
Standards
Solar energy harvesting
visible light sensing
gesture recognition
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