Towards Integration of Domain Knowledge-Guided Feature Engineering and Deep Feature Learning in Surface Electromyography-Based Hand Movement Recognition

<div>A schematic drawing demonstrating the deep neural network architectures evaluated in the ablation studies, including (a) the FLonly architecture, (b) the DKonly architecture for Ablation Study 1, and neural network architectures of (c) decision-level fusion, (d) stage1 feature-level fusion, and (e) stage2 feature-level fusion for Ablation Study 2.</div>

Computational Intelligence and Neuroscience

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Figure 4: Towards Integration of Domain Knowledge-Guided Feature Engineering and Deep Feature Learning in Surface Electromyography-Based Hand Movement Recognition 

Figure 4 | Towards Integration of Domain Knowledge-Guided Feature Engineering and Deep Feature Learning in Surface Electromyography-Based Hand Movement Recognition 