2021 · 15 citations · 15 references
Life SciencesComputer ScienceNeuroscienceCognitive NeurosciencePsychophysiologySystems NeuroscienceAuditory AttentionBrain-computer InterfacesElectroencephalogram AnalysisElectroencephalogram Signal ProcessingElectroencephalographyNeural DecodingAttentionAttention In Music ListeningBrain-computer Interface Signal AcquisitionBrain-computer Interface Signal ProcessingEeg Signal ProcessingElectroencephalography-based Brain-computer InterfacesHuman-computer Interaction In MusicUser Study Evaluation
People enjoy listening to music as part of their life. This makes music an excellent choice for designing a user-friendly brain-computer interface (BCI) for long-term use. We propose a novel BCI system using music stimuli that relies on brain signals collected via Smartfones, an EEG recording device integrated into a pair of headphones. In a user study of the proposed system, participants were asked to pay attention to one of three musical instruments playing simultaneously from separate spatial directions. We used a stimulus reconstruction method to decode attention from EEG signals. Results show that the proposed system can achieve good decoding accuracy (>70%) while providing superior user-friendliness compared to a traditional EEG setup.
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Attentional Selection in a Cocktail Party Environment Can Be Decoded from Single-Trial EEG
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HRTF Measurements of a KEMAR Dummy-Head Microphone
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