2 citations · 2 across the 3 of their papers we have counts for
5 papers
EmoconLite: Bridging the Gap Between Emotiv and Play for Children With Severe Disabilities
Javad Rahimipour Anaraki, Chelsea Anne Rauh, Jason Leung +1
Brain-computer interfaces (BCIs) allow users to control computer applications by modulating their brain activity. Since BCIs rely solely on brain activity, they have enormous poten…
A Deep Learning Approach to Tongue Detection for Pediatric Population
Javad Rahimipour Anaraki, Silvia Orlandi, Tom Chau
Children with severe disabilities and complex communication needs face limitations in the usage of access technology (AT) devices. Conventional ATs (e.g., mechanical switches) can…
A comparison of oscillatory characteristics in covert speech and speech perception
Jae Moon, Silvia Orlandi, Tom Chau
Covert speech, the silent production of words in the mind, has been studied increasingly to understand and decode thoughts. This task has often been compared to speech perception a…
Revisiting the Application of Feature Selection Methods to Speech Imagery BCI Datasets
Javad Rahimipour Anaraki, Jae Moon, Tom Chau
Brain-computer interface (BCI) aims to establish and improve human and computer interactions. There has been an increasing interest in designing new hardware devices to facilitate…
Online classification of imagined speech using functional near-infrared spectroscopy signals
Alborz Rezazadeh Sereshkeh, Rozhin Yousefi, Andrew T Wong +1
Most brain-computer interfaces (BCIs) based on functional near-infrared spectroscopy (fNIRS) require that users perform mental tasks such as motor imagery, mental arithmetic, or mu…