Tiantian XIE, 謝天天

Computer Science

1. Electromyography 100%
2. Gesture Recognition 62%
3. Learning Framework 60%
4. Electroencephalogram 50%
5. Prompt Learning 50%
6. Point Cloud 50%
7. Sampling Technique 50%
8. Learning System 50%
9. Machine Learning 50%
10. Convolutional Network 50%
11. Transformer Network 50%
12. Representation Learning 50%
13. Signal Representation 50%
14. Object Recognition 50%
15. Residual Neural Network 50%
16. Experimental Result 31%
17. Computational Efficiency 30%
18. Interpretability 25%
19. World Application 25%
20. Timestamp Information 25%
21. Power Efficiency 25%
22. Position Information 25%
23. Intensity Level 25%
24. Data Augmentation 25%
25. Convolutional Block Attention 25%
26. Transfer Learning 25%
27. Temporal Convolutional Network 20%
28. Meta-Learning 20%
29. Temporal Modeling 18%
30. hand gesture recognition 12%
31. Graph Convolutional Network 12%
32. Graph Transformer 12%
33. Recognition Algorithm 12%
34. local feature 12%
35. Recognition Accuracy 12%
36. Future Information 12%
37. electrode 12%
38. Human-Computer Interaction 12%
39. Analysis Signal 12%
40. Global Feature 12%
41. Dynamic Routing 12%
42. Human Machine Interface 12%
43. Deep Learning Method 12%
44. Self-Attention Mechanism 12%
45. Training Data 10%
46. Subject Variability 10%
47. Interface System 10%
48. Fair Comparison 10%
49. Theoretical Framework 10%
50. Statistical Property 10%