Journal article Open Access
Customizing Skills for Assistive Robotic Manipulators: An Inverse Reinforcement Learning Approach with Error-Related Potentials
Batzianoulis, Iason;
Iwane, Fumi;
Wei, Shupeng;
Chavarriaga, Ricardo;
del R. Millán, José;
Billard, Aude
Robot and EEG data of the corresponding paper. The scripts for loading and reading the files in Matlab are provided in the folders.
There are 33 EEG channels of data recorded at 512 Hz.
1 - 16 : EEG signals (Fz, FC3, FC1, FCz, FC2, FC4, C3, C1, Cz, C2, C4, CP3, CP1, CPz, CP2, CP4)
17 - 19 : EOG signals (Right HEOG, VEOG at naison, Left HEOG)
20 - 32 : not in use
33 : trigger sent from the robot
Trigger 1 : start of a trial
Trigger 3 : release of the joystick
Trigger 0 : Rest
Files
(4.7 GB)
| Name | Size | |
|---|---|---|
|
eeg_data.zip
md5:1d89a9b578db996549d5a37c659915a7 |
4.5 GB | Download |
|
robot_data.zip
md5:d5aa0390dce51dc5aec2fe9b8e511e19 |
276.1 MB | Download |
237
37
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 237 | 237 |
| Downloads | 37 | 37 |
| Data volume | 115.0 GB | 115.0 GB |
| Unique views | 195 | 195 |
| Unique downloads | 21 | 21 |
Indexed in
- Publication date:
- January 24, 2020
- DOI:
-
- Keyword(s):
- prosthetics, brain activity, robot kinematics
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International