S-ConvNet: A Shallow Convolutional Neural Network Architecture for Neuromuscular Activity Recognition Using Instantaneous High-Density Surface EMG Images

no code implementations • 8 Jun 2019 • Md. Rabiul Islam, Daniel Massicotte, Francois Nougarou, Philippe Massicotte, Wei-Ping Zhu

Without using any pre-trained models, our proposed S-ConvNet and All-ConvNet demonstrate very competitive recognition accuracy to the more complex state of the art for neuromuscular activity recognition based on instantaneous HD-sEMG images, while using a ~ 12 x smaller dataset and reducing learning parameters to a large extent.

Efficient Neural Network Gesture Recognition +1