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

Technical Program

BIO-1: Brain-Computer Interfaces

Session Type: Poster
Time: Tuesday, 8 June, 13:00 - 13:45
Location: Gather.Town
Session Chair: Erchin Serpedin, Texas A&M University
 
BIO-1.1: A CLASSIFIER FOR IMPROVING CAUSE AND EFFECT IN SSVEP-BASED BCIS FOR INDIVIDUALS WITH COMPLEX COMMUNICATION DISORDERS
         Hadi Habibzadeh; University at Albany, State University of New York
         Olivia Zhou; New York State Department of Health
         James J. S. Norton; Stratton VA Medical Center
         Theresa M. Vaughan; Stratton VA Medical Center
         Daphney-Stavroula Zois; University at Albany, State University of New York
 
BIO-1.2: SAGA: SPARSE ADVERSARIAL ATTACK ON EEG-BASED BRAIN COMPUTER INTERFACE
         Boyuan Feng; University of California, Santa Barbara
         Yuke Wang; University of California, Santa Barbara
         Yufei Ding; University of California, Santa Barbara
 
BIO-1.3: RIEMANNIAN GEOMETRY ON CONNECTIVITY FOR CLINICAL BCI
         Marie-Constance Corsi; Aramis lab, Paris Brain Institute
         Florian Yger; LAMSADE, Univ Paris-Dauphine
         Sylvain Chevallier; LISV, Univ Paris-Saclay
         Camille Noûs; Cogitamus, CNRS
 
BIO-1.4: DECODING MUSIC ATTENTION FROM "EEG HEADPHONES": A USER-FRIENDLY AUDITORY BRAIN-COMPUTER INTERFACE
         Wenkang An; Carnegie Mellon University
         Barbara Shinn-Cunningham; Carnegie Mellon University
         Hannes Gamper; Microsoft Research
         Dimitra Emmanouilidou; Microsoft Research
         David Johnston; Microsoft Research
         Mihai Jalobeanu; Microsoft Research
         Edward Cutrell; Microsoft Research
         Andrew Wilson; Microsoft Research
         Kuan-Jung Chiang; University of California, San Diego
         Ivan Tashev; Microsoft Research
 
BIO-1.5: MITIGATING INTER-SUBJECT BRAIN SIGNAL VARIABILITY FOR EEG-BASED DRIVER FATIGUE STATE CLASSIFICATION
         Sunhee Hwang; Yonsei University
         Sungho Park; Yonsei University
         Dohyung Kim; Yonsei University
         Jewook Lee; Yonsei University
         Hyeran Byun; Yonsei University
 
BIO-1.6: A DEEP SPATIO-TEMPORAL MODEL FOR EEG-BASED IMAGINED SPEECH RECOGNITION
         Pradeep Kumar; University of New Brunswick
         Erik Scheme; University of New Brunswick