TY - GEN
T1 - EEG-based BCI system via arithmetic and emotional imagery
AU - Punsawad, Yunuong
AU - Uengamphon, Juthamat
AU - Wongsawat, Yodchanan
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/1/20
Y1 - 2014/1/20
N2 - Nowadays, the number of severe disabled (a totally dependent or assisted living) is dramatically increased due to the increasing rates of accident and brain disease. Therefore, this paper proposes a novel modality of brain-computer interface (RCI) system as an alternative assistive tool for the severe disabled. The use of EEG based emotional and arithmetic imagery from the pre-frontal area is employed. Linear discriminant analysis (LDA) is used to classify emotional and arithmetic imagery by using spontaneous EEG. The comparison between linear and quadric functions of LDA classifier isproposed. The results of the proposed BCI modality as well as its processing algorithm as LDA with quadric can achieve 86% accuracy function. Hence, this system can be one of the potential assistive tools for the serve disabled in their daily activities.
AB - Nowadays, the number of severe disabled (a totally dependent or assisted living) is dramatically increased due to the increasing rates of accident and brain disease. Therefore, this paper proposes a novel modality of brain-computer interface (RCI) system as an alternative assistive tool for the severe disabled. The use of EEG based emotional and arithmetic imagery from the pre-frontal area is employed. Linear discriminant analysis (LDA) is used to classify emotional and arithmetic imagery by using spontaneous EEG. The comparison between linear and quadric functions of LDA classifier isproposed. The results of the proposed BCI modality as well as its processing algorithm as LDA with quadric can achieve 86% accuracy function. Hence, this system can be one of the potential assistive tools for the serve disabled in their daily activities.
KW - Brain Computer Interface BCI
KW - Electroencephalography EEG
KW - Emotional Imagery
UR - http://www.scopus.com/inward/record.url?scp=84923032353&partnerID=8YFLogxK
U2 - 10.1109/BMEiCON.2014.7017434
DO - 10.1109/BMEiCON.2014.7017434
M3 - Conference contribution
AN - SCOPUS:84923032353
T3 - BMEiCON 2014 - 7th Biomedical Engineering International Conference
BT - BMEiCON 2014 - 7th Biomedical Engineering International Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th Biomedical Engineering International Conference, BMEiCON 2014
Y2 - 26 November 2014 through 28 November 2014
ER -