A light-sensing surface and a simulated HfO2 memristive crossbar classify four hand gestures with 0.952 nJ per classification and 97.22% accuracy under 5% injected current noise.
A 0.5V Real-Time Computational CMOS Image Sensor with Programmable Kernel for Always-On Feature Extraction,
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In-Sensor Motion Recognition with Memristive System and Light Sensing Surfaces
A light-sensing surface and a simulated HfO2 memristive crossbar classify four hand gestures with 0.952 nJ per classification and 97.22% accuracy under 5% injected current noise.