2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDBIO-1.4
Paper Title DECODING MUSIC ATTENTION FROM "EEG HEADPHONES": A USER-FRIENDLY AUDITORY BRAIN-COMPUTER INTERFACE
Authors Wenkang An, Barbara Shinn-Cunningham, Carnegie Mellon University, United States; Hannes Gamper, Dimitra Emmanouilidou, David Johnston, Mihai Jalobeanu, Edward Cutrell, Andrew Wilson, Microsoft Research, United States; Kuan-Jung Chiang, University of California, San Diego, United States; Ivan Tashev, Microsoft Research, United States
SessionBIO-1: Brain-Computer Interfaces
LocationGather.Town
Session Time:Tuesday, 08 June, 13:00 - 13:45
Presentation Time:Tuesday, 08 June, 13:00 - 13:45
Presentation Poster
Topic Biomedical Imaging and Signal Processing: [BIO-BCI] Brain/human-computer interfaces
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract 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 Smartfone, 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.