Gated-CNN applies independent 1D convolutions and sigmoid gating to IMU streams from smartwatches, achieving 90-93% F1 on five datasets and 97% F1 with zero missed falls in real-time Pixel Watch testing, outperforming Transformer baselines.
An effective deep learning framework for fall detection: Model development and study design.J Med Internet Res, 26:e56750, Aug 2024
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You Don't Need Attention: Gated Convolutional Modeling for Watch-Based Fall Detection
Gated-CNN applies independent 1D convolutions and sigmoid gating to IMU streams from smartwatches, achieving 90-93% F1 on five datasets and 97% F1 with zero missed falls in real-time Pixel Watch testing, outperforming Transformer baselines.