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Dual-Stream CNN-Transformer Network for Accurate Grasp Intention Recognition Based on Semg and Finger Joint Angles

International Conference on Advanced Robotics and Mechatronics(2024)

Cited 0|Views9
Key words
Joint Angles,Action Recognition,Recognition Network,Neural Network,Effects In Models,Convolutional Neural Network,Local Features,Long Short-term Memory,Global Features,Recognition Task,Long Short-term Memory Network,Interaction Field,Rehabilitation Medicine,Human-robot Interaction,Traditional Convolutional Neural Network,Proximal Interphalangeal,sEMG Signals,Surface Electromyography Signals,Deep Learning,Global Information,Data Augmentation,Movement Intention,Global Context Information,Baseline Network,Convolutional Neural Network Layers,Ablation Experiments,Rehabilitation Robots,Convolutional Layers,Classification Task
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