An Efficient Algorithm-Hardware Co-Design for Radar-Based Fall Detection With Multi-Branch Convolutions

In this paper, we propose an efficient algorithm-hardware co-design framework to realize radar-based fall detection with limited resources. We first design a compact neural network model named MB-Net with multi-branch convolutions for feature extraction of radar time series data combined with multi-...

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