Filling a glass of water: Continuously decoding the speed of 3D hand movements from EEG signals
| Autor: | Felix Putze, Rainer Jakel, Tanja Schultz, Dominic Heger, Martin Losch |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Adult
Male Brain Mapping Artifact (error) medicine.diagnostic_test Movement (music) Computer science business.industry Movement Motor Cortex Electroencephalography Evoked Potentials Motor Hand Filter bank Hand movements Brain-Computer Interfaces Linear regression medicine Humans Computer vision Artificial intelligence business Algorithms Decoding methods |
| Zdroj: | EMBC |
| DOI: | 10.1109/embc.2012.6346867 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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