Name
Title | ||
|---|---|---|
An ERP-based brain-computer interface for text entry using rapid serial visual presentation and language modeling |
Abstract | ||
|---|---|---|
Event related potentials (ERP) corresponding to stimuli in electroencephalography (EEG) can be used to detect the intent of a person for brain computer interfaces (BCI). This paradigm is widely used to build letter-by-letter text input systems using BCI. Nevertheless using a BCI-typewriter depending only on EEG responses will not be sufficiently accurate for single-trial operation in general, and existing systems utilize many-trial schemes to achieve accuracy at the cost of speed. Hence incorporation of a language model based prior or additional evidence is vital to improve accuracy and speed. In this demonstration we will present a BCI system for typing that integrates a stochastic language model with ERP classification to achieve speedups, via the rapid serial visual presentation (RSVP) paradigm. |
Year | Venue | Keywords |
|---|---|---|
2011 | ACL (System Demonstrations) | erp-based brain-computer interface,rapid serial visual presentation,erp classification,eeg response,letter-by-letter text input system,brain computer interface,language model,bci system,additional evidence,text entry,stochastic language model,language modeling,many-trial scheme |
Field | DocType | Volume |
Computer science,Event-related potential,Brain–computer interface,Speech recognition,Electroencephalography,Language model,Text entry,Rapid serial visual presentation | Conference | P11-4 |
Citations | PageRank | References |
2 | 0.50 | 1 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| K E Hild | 1 | 196 | 21.18 |
| Umut Orhan | 2 | 60 | 8.66 |
| Deniz Erdogmus | 3 | 375 | 36.16 |
| B. Roark | 4 | 56 | 3.82 |
| B Oken | 5 | 12 | 2.76 |
| S. Purwar | 6 | 2 | 0.50 |
| H Nezamfar | 7 | 17 | 5.64 |
| M. Fried-Oken | 8 | 2 | 0.50 |