TY - GEN
T1 - Predicting text entry for brain-computer interface
AU - Lee, Saebyeok
AU - Lim, Heui Seok
PY - 2011
Y1 - 2011
N2 - A brain-computer interface (BCI) is a communication system that translates brain activity into commands for a computer or other devices. In other words, BCIs create a new communication channel between the brain and an output device by bypassing conventional motor output pathways consisting of nerve and muscles. This is particularly useful for facilitating communication for people are totally paralyzed. However, it is hard to practical use because low communication rate. Therefore, in this paper, we propose a method to speed up text entry in BCI using a statistical language model.
AB - A brain-computer interface (BCI) is a communication system that translates brain activity into commands for a computer or other devices. In other words, BCIs create a new communication channel between the brain and an output device by bypassing conventional motor output pathways consisting of nerve and muscles. This is particularly useful for facilitating communication for people are totally paralyzed. However, it is hard to practical use because low communication rate. Therefore, in this paper, we propose a method to speed up text entry in BCI using a statistical language model.
KW - Brain-Computer Interface
KW - Predicting Text Entry
UR - http://www.scopus.com/inward/record.url?scp=79960139286&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960139286&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-22309-9_38
DO - 10.1007/978-3-642-22309-9_38
M3 - Conference contribution
AN - SCOPUS:79960139286
SN - 9783642223082
T3 - Communications in Computer and Information Science
SP - 309
EP - 312
BT - Future Information Technology - 6th International Conference, FutureTech 2011, Proceedings
T2 - 6th International Conference on Future Information Technology, FutureTech 2011
Y2 - 28 June 2011 through 30 June 2011
ER -