TY - GEN
T1 - Asynchronous eye-tracking-actuated switch for steady-state visual evoked potential based brain-computer interface applications
AU - Zhang, Yubin
AU - Xie, Jun
AU - Xu, Guanghua
AU - Han, Xingliang
AU - Li, Min
AU - Tao, Tangfei
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5/16
Y1 - 2019/5/16
N2 - Synchronous or asynchronous steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has been widely studied due to its advantages of obvious spectral characteristics, less electrodes usage and no training needed for ordinary users. In this paper, a method of combining asynchronous eye-tracking switch with synchronous SSVEP-based BCI is proposed. The eye tracking is designed as an 'upper-level' switch of the hybrid system to provide a free-control characteristic, and the 'lower-level' synchronous SSVEP BCI retains the high-accuracy property for multi-command control. Results showed that the accuracy of the eye-tracking-switch based hybrid system is relatively higher than the common SSVEP BCI, which proved the feasibility and user-friendliness of the designed method.
AB - Synchronous or asynchronous steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has been widely studied due to its advantages of obvious spectral characteristics, less electrodes usage and no training needed for ordinary users. In this paper, a method of combining asynchronous eye-tracking switch with synchronous SSVEP-based BCI is proposed. The eye tracking is designed as an 'upper-level' switch of the hybrid system to provide a free-control characteristic, and the 'lower-level' synchronous SSVEP BCI retains the high-accuracy property for multi-command control. Results showed that the accuracy of the eye-tracking-switch based hybrid system is relatively higher than the common SSVEP BCI, which proved the feasibility and user-friendliness of the designed method.
UR - https://www.scopus.com/pages/publications/85066744633
U2 - 10.1109/NER.2019.8717177
DO - 10.1109/NER.2019.8717177
M3 - 会议稿件
AN - SCOPUS:85066744633
T3 - International IEEE/EMBS Conference on Neural Engineering, NER
SP - 360
EP - 364
BT - 9th International IEEE EMBS Conference on Neural Engineering, NER 2019
PB - IEEE Computer Society
T2 - 9th International IEEE EMBS Conference on Neural Engineering, NER 2019
Y2 - 20 March 2019 through 23 March 2019
ER -