BISA-SS4.4
EEG Smart Glasses for Brain State Monitoring and Motor Imagery Decoding in Wearable Brain Computer Interfaces
Dang Nguyen, Harvard University, United States; Phat Huynh, North Carolina A&T State University, United States; Pari Patel, Ishaan Singh, New York Institute of Technology, United States; Phat Nguyen, Huong Dao, North Carolina A&T State University, United States; Adam Ahmed, New York Institute of Technology, United States; Haideh Sabet, Georgetown University Medical Center, United States; Maryam Ravan, New York Institute of Technology, United States; Pramod Abichandani, New Jersey Institute of Technology, United States; Ryan Ahmed, New York Institute of Technology, United States
Session:
BISA-SS4: Biological Principles from Sensing to Compression: Neuromorphic, Cognitive, and Molecular Perspectives Lecture
Track:
Special Sessions
Location:
Studio 1
Presentation Time:
Thu, 3 Sep, 17:00 - 17:20 Belgium Time (UTC +2)
Presentation
Discussion
Resources
No resources available.
Session BISA-SS4
BISA-SS4.1: Perception-based Image Quality Metric based on Neuroscience models
Effrosyni Doutsi, Panagiotis Tsakalides, Foundation for Research and Technology Hellas, Greece
BISA-SS4.2: ASSESSING ERROR-ROBUSTNESS OF JPEG CODECS FOR DNA IMAGE STORAGE
Michela Testolina, Claire Couvreur, Marc Antonini, I3S laboratory, Côte d’Azur University, CNRS, UMR 7271, France
BISA-SS4.3: UNSUPERVISED OBJECT TRACKING WITH COLOR EVENT CAMERAS USING DISCRIMINATIVE CORRELATION FILTERS
Ezra Block, Hadar Cohen Duwek, Elishai Ezra Tsur, The Open University of Israel, Israel
BISA-SS4.4: EEG Smart Glasses for Brain State Monitoring and Motor Imagery Decoding in Wearable Brain Computer Interfaces
Dang Nguyen, Harvard University, United States; Phat Huynh, North Carolina A&T State University, United States; Pari Patel, Ishaan Singh, New York Institute of Technology, United States; Phat Nguyen, Huong Dao, North Carolina A&T State University, United States; Adam Ahmed, New York Institute of Technology, United States; Haideh Sabet, Georgetown University Medical Center, United States; Maryam Ravan, New York Institute of Technology, United States; Pramod Abichandani, New Jersey Institute of Technology, United States; Ryan Ahmed, New York Institute of Technology, United States
BISA-SS4.5: Evaluating Rate–Distortion Trade-offs in Poisson-Based Spiking Autoencoders
Effrosyni Doutsi, Panagiotis Tsakalides, Foundation for Research and Technology - Hellas, Greece