Filling a glass of water: continuously decoding the speed of 3D hand movements from EEG signals
We present a new system for the continuous decoding of hand movement speed in three-dimensional (3D) space from EEG signals. We recorded experimental data of five subjects during mimicking the natural task of filling a glass of water. The proposed system uses filter bank common spatial patterns and...
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| Main Authors: | , , , , |
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| Format: | Chapter/Article Conference Paper |
| Language: | English |
| Published: |
12 November 2012
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| In: |
Annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2012
Year: 2012, Pages: 4095-4098 |
| DOI: | 10.1109/EMBC.2012.6346867 |
| Online Access: | Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1109/EMBC.2012.6346867
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| Author Notes: | Dominic Heger, Rainer Jäkel, Felix Putze, Martin Lösch, and Tanja Schultz |
| Summary: | We present a new system for the continuous decoding of hand movement speed in three-dimensional (3D) space from EEG signals. We recorded experimental data of five subjects during mimicking the natural task of filling a glass of water. The proposed system uses filter bank common spatial patterns and linear regression to estimate the speed of hand movements from artifact cleaned EEG signals. Average Pearson correlations between the speed trajectories predicted from EEG and the speed trajectories measured using a high-precision motion tracking system are r=0.41 for the x-axis, r=0.36 for the y-axis, r=0.48 for the z-axis, and r=0.17 for absolute speed in 3D space. |
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| Item Description: | Gesehen am 30.08.2018 |
| Physical Description: | Online Resource |
| ISBN: | 9781457717871 1424441196 9781424441198 |
| DOI: | 10.1109/EMBC.2012.6346867 |