The effect of vibrotactile feedback on ErrP-based adaptive classification of motor imagery
2019 41st Annual International Conference of the IEEE Engineering …, 2019•ieeexplore.ieee.org
This work presents an implementation of Error-related Potential (ErrP) detection to produce
progressive adaptation of a motor imagery task classifier. The main contribution is in the
evaluation of the effect of vibrotactile feedback on both ErrP and motor imagery detection.
Results confirm the potential of self-adaptive techniques to improve motor imagery
classification, and support the design of vibratory and in general tactile feedback into Brain-
Computer Interfaces to improve both static and adaptive performance.
progressive adaptation of a motor imagery task classifier. The main contribution is in the
evaluation of the effect of vibrotactile feedback on both ErrP and motor imagery detection.
Results confirm the potential of self-adaptive techniques to improve motor imagery
classification, and support the design of vibratory and in general tactile feedback into Brain-
Computer Interfaces to improve both static and adaptive performance.
This work presents an implementation of Error-related Potential (ErrP) detection to produce progressive adaptation of a motor imagery task classifier. The main contribution is in the evaluation of the effect of vibrotactile feedback on both ErrP and motor imagery detection. Results confirm the potential of self-adaptive techniques to improve motor imagery classification, and support the design of vibratory and in general tactile feedback into Brain-Computer Interfaces to improve both static and adaptive performance.
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