NDLI: Online control of a humanoid robot through hand movement imagination using CSP and ECoG based features

Content Provider	IEEE Xplore Digital Library
Author	Kapeller, C. Gergondet, P. Kamada, K. Ogawa, H. Takeuchi, F. Ortner, R. Pruckl, R. Kheddar, A. Scharinger, J. Guger, C.
Copyright Year	2015
Description	Author affiliation: AIST Joint Robot. Lab., Tsukuba, Japan (Gergondet, P.; Kheddar, A.) \|\| Dept. of Comput. Perception, Johannes Kepler Univ., Linz, Austria (Scharinger, J.) \|\| Dept. for Neurosurg., Asahikawa Med. Univ., Asahikawa, Japan (Kamada, K.; Ogawa, H.; Takeuchi, F.) \|\| g.tec Guger Technol. OG, Schiedlberg, Austria (Kapeller, C.; Ortner, R.; Pruckl, R.; Guger, C.)
Abstract	Intention recognition through decoding brain activity could lead to a powerful and independent Brain-Computer-Interface (BCI) allowing for intuitive control of devices like robots. A common strategy for realizing such a system is the motor imagery (MI) BCI using electroencephalography (EEG). Changing to invasive recordings like electrocorticography (ECoG) allows extracting very robust features and easy introduction of an idle state, which might simplify the mental task and allow the subject to focus on the environment. Especially for multi-channel recordings like ECoG, common spatial patterns (CSP) provide a powerful tool for feature optimization and dimensionality reduction. This work focuses on an invasive and independent MI BCI that allows triggering from an idle state, and therefore facilitates tele-operation of a humanoid robot. The task was to lift a can with the robot's hand. One subject participated and reached 95.4 % mean online accuracy after six runs of 40 trials. To our knowledge, this is the first online experiment with a MI BCI using CSPs from ECoG signals.
Starting Page	1765
Ending Page	1768
File Size	1055831
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7318720
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Feature extraction Electroencephalography Humanoid robots Band-pass filters Robot sensing systems
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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