most citedEEG-assisted Modulation of Sound Sources in the Auditory Scene

24 citations · 41 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2017

Context-Aware Recursive Bayesian Graph Traversal in BCIs

Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Hooman Nezamfar +2

Noninvasive brain computer interfaces (BCI), and more specifically Electroencephalography (EEG) based systems for intent detection need to compensate for the low signal to noise ra…

cs.HC2017

Decoding Complex Imagery Hand Gestures

Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Fernando Quivira +3

Brain computer interfaces (BCIs) offer individuals suffering from major disabilities an alternative method to interact with their environment. Sensorimotor rhythm (SMRs) based BCIs…

q-bio.NC2016★ 24 cited

EEG-assisted Modulation of Sound Sources in the Auditory Scene

Marzieh Haghighi, Mohammad Moghadamfalahi, Murat Akcakaya +1

Noninvasive EEG (electroencephalography) based auditory attention detection could be useful for improved hearing aids in the future. This work is a novel attempt to investigate the…

cs.HC2016★ 16 cited

An Active RBSE Framework to Generate Optimal Stimulus Sequences in a BCI for Spelling

Mohammad Moghadamfalahi, Murat Akcakaya, Hooman Nezamfar +2

A class of brain computer interfaces (BCIs) employs noninvasive recordings of electroencephalography (EEG) signals to enable users with severe speech and motor impairments to inter…

cs.HC2016★ 1 cited

Fast Switch Scanning Keyboards: Minimal Expected Query Decision Trees

Matt Higger, Mohammad Moghadamfalahi, Fernando Quivira +1

Augmentative and Alternative Communication (AAC) systems allow people with disabilities to provide input to devices which empower them to more fully interact with their environment…