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Datasets:
faweigend
/
wearmocap

Modalities:
Time-series
Languages:
English
Size:
100K<n<1M
Tags:
timeseries
wearables
License:
Dataset card Viewer Files Community
1
faweigend commited on
Commit
f98001b
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1 Parent(s): 4060fef

Upload data and base readmes (#1)

Browse files

- Upload data and base readmes (ca6fb60f8a6246639736a0296266b73b917190bc)

This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +83 -0
  2. WATCH_ONLY/01/01_watch_only_001.csv +0 -0
  3. WATCH_ONLY/01/01_watch_only_002.csv +3 -0
  4. WATCH_ONLY/01/01_watch_only_003.csv +3 -0
  5. WATCH_ONLY/01/01_watch_only_004.csv +3 -0
  6. WATCH_ONLY/01/01_watch_only_005.csv +3 -0
  7. WATCH_ONLY/01/01_watch_only_006.csv +3 -0
  8. WATCH_ONLY/02/02_watch_only_001.csv +3 -0
  9. WATCH_ONLY/02/02_watch_only_002.csv +3 -0
  10. WATCH_ONLY/02/02_watch_only_003.csv +3 -0
  11. WATCH_ONLY/02/02_watch_only_004.csv +3 -0
  12. WATCH_ONLY/02/02_watch_only_005.csv +3 -0
  13. WATCH_ONLY/03/03_watch_only_001.csv +3 -0
  14. WATCH_ONLY/03/03_watch_only_002.csv +3 -0
  15. WATCH_ONLY/03/03_watch_only_003.csv +3 -0
  16. WATCH_ONLY/03/03_watch_only_004.csv +3 -0
  17. WATCH_ONLY/03/03_watch_only_005.csv +3 -0
  18. WATCH_ONLY/04/04_watch_only_001.csv +3 -0
  19. WATCH_ONLY/04/04_watch_only_002.csv +3 -0
  20. WATCH_ONLY/04/04_watch_only_003.csv +3 -0
  21. WATCH_ONLY/05/05_watch_only_001.csv +3 -0
  22. WATCH_ONLY/05/05_watch_only_002.csv +3 -0
  23. WATCH_ONLY/05/05_watch_only_003.csv +0 -0
  24. WATCH_ONLY/05/05_watch_only_004.csv +3 -0
  25. WATCH_ONLY/05/05_watch_only_005.csv +3 -0
  26. WATCH_ONLY/05/05_watch_only_006.csv +3 -0
  27. WATCH_ONLY/06/06_watch_only_001.csv +0 -0
  28. WATCH_ONLY/06/06_watch_only_002.csv +3 -0
  29. WATCH_ONLY/06/06_watch_only_003.csv +3 -0
  30. WATCH_ONLY/08/08_watch_only_001.csv +3 -0
  31. WATCH_ONLY/08/08_watch_only_002.csv +3 -0
  32. WATCH_ONLY/README.md +24 -0
  33. WATCH_PHONE_POCKET/01/01_phone_pocket_001.csv +0 -0
  34. WATCH_PHONE_POCKET/01/01_phone_pocket_002.csv +3 -0
  35. WATCH_PHONE_POCKET/01/01_phone_pocket_003.csv +3 -0
  36. WATCH_PHONE_POCKET/01/01_phone_pocket_004.csv +3 -0
  37. WATCH_PHONE_POCKET/01/01_phone_pocket_005.csv +3 -0
  38. WATCH_PHONE_POCKET/01/01_phone_pocket_006.csv +3 -0
  39. WATCH_PHONE_POCKET/01/01_phone_pocket_007.csv +3 -0
  40. WATCH_PHONE_POCKET/01/01_phone_pocket_008.csv +3 -0
  41. WATCH_PHONE_POCKET/01/01_phone_pocket_009.csv +3 -0
  42. WATCH_PHONE_POCKET/01/01_phone_pocket_010.csv +3 -0
  43. WATCH_PHONE_POCKET/01/01_phone_pocket_011.csv +3 -0
  44. WATCH_PHONE_POCKET/02/02_phone_pocket_001.csv +3 -0
  45. WATCH_PHONE_POCKET/02/02_phone_pocket_002.csv +3 -0
  46. WATCH_PHONE_POCKET/02/02_phone_pocket_003.csv +3 -0
  47. WATCH_PHONE_POCKET/02/02_phone_pocket_004.csv +3 -0
  48. WATCH_PHONE_POCKET/02/02_phone_pocket_005.csv +3 -0
  49. WATCH_PHONE_POCKET/02/02_phone_pocket_006.csv +3 -0
  50. WATCH_PHONE_POCKET/02/02_phone_pocket_007.csv +3 -0
.gitattributes CHANGED
@@ -57,3 +57,86 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/01/01_watch_only_002.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/01/01_watch_only_003.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/01/01_watch_only_004.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/01/01_watch_only_005.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/01/01_watch_only_006.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/02/02_watch_only_001.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/02/02_watch_only_002.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/02/02_watch_only_003.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/02/02_watch_only_004.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/02/02_watch_only_005.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/03/03_watch_only_001.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/03/03_watch_only_002.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/03/03_watch_only_003.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/03/03_watch_only_004.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/03/03_watch_only_005.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/04/04_watch_only_001.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/05/05_watch_only_001.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/05/05_watch_only_004.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/05/05_watch_only_005.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/06/06_watch_only_003.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/08/08_watch_only_001.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_ONLY/08/08_watch_only_002.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_PHONE_POCKET/01/01_phone_pocket_002.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_PHONE_POCKET/01/01_phone_pocket_003.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_PHONE_POCKET/01/01_phone_pocket_004.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_PHONE_POCKET/01/01_phone_pocket_005.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_PHONE_POCKET/01/01_phone_pocket_006.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_PHONE_POCKET/01/01_phone_pocket_007.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_PHONE_POCKET/01/01_phone_pocket_008.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_PHONE_POCKET/01/01_phone_pocket_009.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_PHONE_POCKET/01/01_phone_pocket_010.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_PHONE_POCKET/01/01_phone_pocket_011.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_PHONE_POCKET/02/02_phone_pocket_001.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_PHONE_POCKET/02/02_phone_pocket_002.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_PHONE_POCKET/02/02_phone_pocket_003.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_PHONE_POCKET/02/02_phone_pocket_004.csv filter=lfs diff=lfs merge=lfs -text
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+ WATCH_PHONE_POCKET/02/02_phone_pocket_007.csv filter=lfs diff=lfs merge=lfs -text
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WATCH_ONLY/README.md ADDED
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+ # Watch Only Data
2
+
3
+ This is the training and test data for the Watch Only Mode of WearMoCap. It contains ground truth arm poses from an optical motion capture system and the smartwatch sensor data. Subjects only moved their left arm and were instructed to stand still. Data collection is described in detail in our technical report:
4
+
5
+ [__WearMoCap: multimodal pose tracking for ubiquitous robot control using a smartwatch__](https://www.frontiersin.org/journals/robotics-and-ai/articles/10.3389/frobt.2024.1478016/full)
6
+
7
+ ## Data columns
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+
9
+ * `gt_hand_orig_cal_x,y,z`: Ground truth hand position relative to the hip
10
+ * `gt_larm_6drr_cal_1,2,3,4,5,6`: Ground truth lower arm orientation relative to the hip. Denoted in the 6-dimensional rotation representation which takes the first two columns of the rotation matrix (details in our technical report).
11
+ * `gt_larm_orig_cal_x,y,z`: Ground truth lower arm origin (elbow) position relative to the hip.
12
+ * `gt_uarm_6drr_cal_1,2,3,4,5,6`: Ground truth upper arm orientation relative to the hip.
13
+ * `gt_uarm_orig_cal_x,y,z`: Ground truth upper arm origin (shoulder) position relative to the hip.
14
+ * `gt_hips_yrot_cal_sin_cos`: Ground truth indicator of body orientation. These are the sine and cosine of the hip rotation around the y-axis (up).
15
+ * `sw_dt`: time since the previous smartwatch observation
16
+ * `sw_h, sw_m, sw_s, sw_ns`: time stamp of current smartwatch observation in h,m,s,ns
17
+ * `sw_gyro_x,y,z`: Smartwatch gyroscope measurements
18
+ * `sw_lvel_x,y,z`: Smartwatch linear acceleration multiplied by dt
19
+ * `sw_lacc_x,y,z`: Smartwatch linear acceleration measurements
20
+ * `sw_grav_x,y,z`: Smartwatch gravity sensor measurements
21
+ * `sw_6drr_cal_1,2,3,4,5,6` : Calibrated smartwatch orientation estimate in 6-d orientation representation
22
+ * `sw_pres_cal` : Calibrated smartwatch atmospheric pressure readings
23
+ * `ph_hips_yrot_cal_sin_cos`: Sine and cosine of the estimated phone rotation around the global y-axis (up) as a proxy for body orientation.
24
+
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