Recognizing Hand Gestures Using Solar Cells

Dong Ma

doi:10.1109/TMC.2022.3148143

Recognizing Hand Gestures Using Solar Cells

2023-07-01

2

OA

AI

Mushfika Baishakhi Upama

DOI：10.1109/TMC.2022.3148143

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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.

Keyword:

Photovoltaic cells

Photoconductivity

Gesture recognition

Solar panels

Energy harvesting

Three-dimensional displays

Standards

Solar energy harvesting

visible light sensing

gesture recognition

Recognizing Hand Gestures Using Solar Cells

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