Title :
A single-trial decoding method by integrating accumulated continuous classification for motor imagery based BCI
Author :
Lin Yao ; Xiaokang Shu ; Chao Sun ; Xinjun Sheng ; Dingguo Zhang ; Xiangyang Zhu
Author_Institution :
State Key Lab. of Mech. Syst. & Vibration, Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
In this work, Accumulated Continuous Classification (ACC) method was proposed to facilitate single-trial decoding in Motor Imagery based Brain-computer Interface. Exploring the temporal information, the time interval of the single-trial was divided into several sub-segments, then the classified results were combined. Theoretical model was proposed, and the proposed method was evaluated in BCI competition 2008 IIa dataset.
Keywords :
brain-computer interfaces; decoding; image classification; image coding; ACC method; BCI; accumulated continuous classification; motor imagery based brain-computer interface; single trial decoding method; temporal information; Accuracy; Brain modeling; Brain-computer interfaces; Decoding; Electroencephalography; Foot; Probability; Accumulated Continuous Classification; BCI; Motor Imagery; Single-trial Decoding;
Conference_Titel :
Information and Automation (ICIA), 2014 IEEE International Conference on
Conference_Location :
Hailar
DOI :
10.1109/ICInfA.2014.6932652
