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Datasets:
yonful
/
gem-analysis-unimts

Size:
1M<n<10M
Tags:
imu
activity-recognition
fitness
deep-learning
License:
Dataset card Files
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yonful commited on
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  1. Harth/X_test.npy +3 -0
  2. Harth/X_train.npy +3 -0
  3. Harth/y_test.npy +3 -0
  4. Harth/y_train.npy +3 -0
  5. MotionSense/X_test.npy +3 -0
  6. MotionSense/X_train.npy +3 -0
  7. MotionSense/y_test.npy +3 -0
  8. MotionSense/y_train.npy +3 -0
  9. Shoaib/X_test.npy +3 -0
  10. Shoaib/X_train.npy +3 -0
  11. Shoaib/y_test.npy +3 -0
  12. Shoaib/y_train.npy +3 -0
  13. TNDA-HAR/X_test.npy +3 -0
  14. TNDA-HAR/X_train.npy +3 -0
  15. TNDA-HAR/y_test.npy +3 -0
  16. TNDA-HAR/y_train.npy +3 -0
  17. UCIHAR/X_test.npy +3 -0
  18. UCIHAR/X_train.npy +3 -0
  19. UCIHAR/y_test.npy +3 -0
  20. UCIHAR/y_train.npy +3 -0
  21. UTD-MHAD/X_test.npy +3 -0
  22. UTD-MHAD/X_train.npy +3 -0
  23. UTD-MHAD/y_test.npy +3 -0
  24. UTD-MHAD/y_train.npy +3 -0
  25. WISDM/X_test.npy +3 -0
  26. WISDM/X_train.npy +3 -0
  27. WISDM/y_test.npy +3 -0
  28. WISDM/y_train.npy +3 -0
  29. Wharf/X_test.npy +3 -0
  30. Wharf/X_train.npy +3 -0
  31. Wharf/y_test.npy +3 -0
  32. Wharf/y_train.npy +3 -0
  33. few_shot_data_1/DSADS_k=10.pth +3 -0
  34. few_shot_data_1/GOTOV_k=5.pth +3 -0
  35. few_shot_data_1/Harth_k=5.pth +3 -0
  36. few_shot_data_1/LARa_k=5.pth +3 -0
  37. few_shot_data_1/MMAct_k=1.pth +3 -0
  38. few_shot_data_1/MMAct_k=10.pth +3 -0
  39. few_shot_data_1/MMAct_k=2.pth +3 -0
  40. few_shot_data_1/Mhealth_k=1.pth +3 -0
  41. few_shot_data_1/Mhealth_k=2.pth +3 -0
  42. few_shot_data_1/PAMAP_k=1.pth +3 -0
  43. few_shot_data_1/PAMAP_k=10.pth +3 -0
  44. few_shot_data_1/PAMAP_k=2.pth +3 -0
  45. few_shot_data_1/PAMAP_k=3.pth +3 -0
  46. few_shot_data_1/PAMAP_k=5.pth +3 -0
  47. few_shot_data_1/REALDISP_k=10.pth +3 -0
  48. few_shot_data_1/TNDA-HAR_k=10.pth +3 -0
  49. few_shot_data_1/UCIHAR_k=1.pth +3 -0
  50. few_shot_data_1/UCIHAR_k=2.pth +3 -0
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