Brain-computer interface: data collection and EEG waves

Brain-Computer Interfaces

Établi : June 29, 2018

Personne

Project participants

Portrait de Sebastian Braun

Sebastian Braun

Principal Researcher

Portrait de Dimitra Emmanouilidou

Dimitra Emmanouilidou

Senior Researcher

Portrait de Hannes Gamper

Hannes Gamper

Principal Researcher

Portrait de David Johnston

David Johnston

Principal Software Design Engineer

Portrait de Ed Cutrell

Ed Cutrell

Sr. Principal Research Manager

Portrait de Andy Wilson

Andy Wilson

Partner Research Manager

Portrait de Ivan Tashev

Ivan Tashev

Partner Software Architect

Past interns and post-doctoral researchers

Portrait de Elisabeth Heremans

Elisabeth Heremans

Shining light on the learning brain: Estimating mental workload in a simulated flight task using optical f-NIRS signals, 2024

KU Leuven, Belgium

Portrait de Ard Kastrati

Ard Kastrati

Decoding Neurophysiological Responses for Improving Predictive Text Systems using Brain-Computer Interfaces, 2023

ETH Zurich, Switzerland

Portrait de Tanmay Srivastava

Tanmay Srivastava

Private and Accessible Speech Commands in Head-Worn Devices, 2023

Stony Brook University

Portrait de Tan Gemicioglu

Tan Gemicioglu

Tongue Gesture Recognition in Head Mounted Displays, 2022

Georgia Tech

Portrait de Sophia Mehdizadeh

Sophia Mehdizadeh

Improving text prediction accuracy using neurophysiology, 2022

Georgia Tech

Portrait de Justin Kilmarx

Justin Kilmarx

Mapping the neural representational similarity of multiple object categories during visual imagery, 2022

The University of Texas at Austin

Portrait de Yu-Te  Wang

Yu-Te Wang

Post-doctoral Researcher 2021-2023

Microsoft Research

Portrait de R. Michael Winters

R. Michael Winters

Post-doctoral Researcher 2021-2023

Microsoft Research

Portrait de Justin Kilmarx

Justin Kilmarx

Developing a Brain-Computer Interface Based on Visual Imagery, 2021

The University of Texas at Austin

Portrait de Wenkang An

Wenkang An

Decoding Music Attention from “EEG headphones”: a User-friendly Auditory Brain-computer Interface, 2020

Carnegie Mellon University

Portrait de Kuan-Jung Chiang

Kuan-Jung Chiang

A Closed-loop Adaptive Brain-computer Interface framework, 2020

University of California, San Diego

Portrait de Hakim Si-Mohammed

Hakim Si-Mohammed

Improving the Ergonomics and User-Friendliness of SSVEP-based BCIs in Virtual Reality, 2019

INRIA, France

Portrait de Winko An

Winko An

Decoding Multisensory Attention from Electroencephalography for Use in a Brain-Computer Interface, 2019

Carnegie Mellon University

Portrait de Nicholas Huang

Nicholas Huang

Decoding Auditory Attention Via the Auditory Steady-State Response for Use in A Brain-Computer Interface, 2019

Johns Hopkins

Consultants and collaborators

Portrait de Adrian KC Lee

Adrian KC Lee

Professor and Director of Laboratory for Auditory Brain Sciences & Neuroengineering

University of Washington

Portrait de Nataliya Kosmyna

Nataliya Kosmyna

Postdoctoral Associate

MIT Media Lab

Portrait de Barbara Shinn-Cunningham

Barbara Shinn-Cunningham

Professor, Director of Carnegie Mellon Neuroscience Institute

Carnegie Mellon University