AI Article Synopsis
- The paper introduces an auditory modality brain-computer interface (BCI) that utilizes auditory steady state responses (ASSR) for communication with technology.
- Two methods for extracting EEG features—bandpass filtering and AR spectrum estimation—were tested alongside different classification techniques to evaluate the effectiveness of this BCI.
- The positive classification results indicate that users can intentionally choose to focus on presented auditory stimuli, supporting the use of ASSR in a reliable BCI framework.
Article Abstract
An auditory modality brain computer interface (BCI) is a novel and interesting paradigm in neurotechnology applications. The paper presents a concept of auditory steady state responses (ASSR) utilization for the novel BCI paradigm. Two EEG feature extraction approaches based on a bandpass filtering and an AR spectrum estimation are tested together with two classification schemes in order to validate the proposed auditory BCI paradigm. The resulting good classification scores of users intentional choices, of attending or not to the presented stimuli, support the hypothesis of the ASSR stimuli validity for a solid BCI paradigm.
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| http://dx.doi.org/10.1109/IEMBS.2011.6091133 | DOI Listing |
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