Raw waveform input with lightweight 1D-CNN and 1D-SepCNN models, integer quantization, and hardware-aware search enable 0.95+ accuracy swipe recognition on Spartan-7 FPGAs at under 10 ms latency and 1.2 mJ energy.
Designing for low-latency direct-touch input,
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Enabling Vibration-Based Gesture Recognition on Everyday Furniture via Energy-Efficient FPGA Implementation of 1D Convolutional Networks
Raw waveform input with lightweight 1D-CNN and 1D-SepCNN models, integer quantization, and hardware-aware search enable 0.95+ accuracy swipe recognition on Spartan-7 FPGAs at under 10 ms latency and 1.2 mJ energy.