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Computer Science
Electromyography
100%
Gesture Recognition
62%
Learning Framework
60%
Electroencephalogram
50%
Prompt Learning
50%
Point Cloud
50%
Sampling Technique
50%
Learning System
50%
Machine Learning
50%
Convolutional Network
50%
Transformer Network
50%
Representation Learning
50%
Signal Representation
50%
Object Recognition
50%
Residual Neural Network
50%
Experimental Result
31%
Computational Efficiency
30%
Interpretability
25%
World Application
25%
Timestamp Information
25%
Power Efficiency
25%
Position Information
25%
Intensity Level
25%
Data Augmentation
25%
Convolutional Block Attention
25%
Transfer Learning
25%
Temporal Convolutional Network
20%
Meta-Learning
20%
Temporal Modeling
18%
hand gesture recognition
12%
Graph Convolutional Network
12%
Graph Transformer
12%
Recognition Algorithm
12%
local feature
12%
Recognition Accuracy
12%
Future Information
12%
electrode
12%
Human-Computer Interaction
12%
Analysis Signal
12%
Global Feature
12%
Dynamic Routing
12%
Human Machine Interface
12%
Deep Learning Method
12%
Self-Attention Mechanism
12%
Training Data
10%
Subject Variability
10%
Interface System
10%
Fair Comparison
10%
Theoretical Framework
10%
Statistical Property
10%