A Convolutional Neural Network With Multi-scale Kernel and Feature Fusion for sEMG-based Gesture Recognition

2021 IEEE International Conference on Robotics and Biomimetics (ROBIO)（2021）

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摘要

The sEMG-based gesture recognition has great potential in human-computer interaction. However, the current approaches are far from optimal. In this paper, a novel convolutional neural network which combines the multi-scale kernal and feature fusion (MKFF-CNN) is proposed. This model could extract multi-scale features and make full use of these feature maps. One dataset called “gForce dataset” is r...

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关键词

Human computer interaction,Convolution,Conferences,Biomimetics,Biological system modeling,Gesture recognition,Feature extraction

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