TY - GEN
T1 - Performance Evaluation of a "Switch-To-Target" Based Asynchronous SSVEP BCI Paradigm
AU - Zhang, Yubin
AU - Xie, Jun
AU - Xu, Guanghua
AU - Fang, Peng
AU - Du, Guangjing
AU - Zhang, Xiaodong
AU - Li, Min
AU - Zhang, Sicong
AU - Tao, Tangfei
AU - Yuan, Hua
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - Because of the strong advantages such as anti-interference capability, less electrode montage, higher information transfer rate and no need of specific training for participants, steady-state visual evoked potentials (SSVEP) based brain-computer interface (BCI) has attracted more and more attentions. In order to achieve high accuracy and maintain considerable stability, this paper proposed an eye tracking technique based asynchronous SSVEP BCI method by directly localizing asynchronous eye-tracking-based switch to desired stimulation target to accelerate the BCI process. And real-time visual gaze feedback was also provided in necessity when participants could not focus their gaze to achieve satisfactory target identification results. By combining the heterogeneous signals of eye gaze position with a conventional asynchronous BCI paradigm, the proposed method reduced the trial duration while considerably high identification accuracy was maintained. Experiments were carried out on four participants with an average accuracy above 93% when the trial duration was 3s, while considerable performance can also be achieved when the trial length was shorten to 2s.
AB - Because of the strong advantages such as anti-interference capability, less electrode montage, higher information transfer rate and no need of specific training for participants, steady-state visual evoked potentials (SSVEP) based brain-computer interface (BCI) has attracted more and more attentions. In order to achieve high accuracy and maintain considerable stability, this paper proposed an eye tracking technique based asynchronous SSVEP BCI method by directly localizing asynchronous eye-tracking-based switch to desired stimulation target to accelerate the BCI process. And real-time visual gaze feedback was also provided in necessity when participants could not focus their gaze to achieve satisfactory target identification results. By combining the heterogeneous signals of eye gaze position with a conventional asynchronous BCI paradigm, the proposed method reduced the trial duration while considerably high identification accuracy was maintained. Experiments were carried out on four participants with an average accuracy above 93% when the trial duration was 3s, while considerable performance can also be achieved when the trial length was shorten to 2s.
UR - https://www.scopus.com/pages/publications/85070565403
U2 - 10.1109/URAI.2019.8768660
DO - 10.1109/URAI.2019.8768660
M3 - 会议稿件
AN - SCOPUS:85070565403
T3 - 2019 16th International Conference on Ubiquitous Robots, UR 2019
SP - 32
EP - 37
BT - 2019 16th International Conference on Ubiquitous Robots, UR 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th International Conference on Ubiquitous Robots, UR 2019
Y2 - 24 June 2019 through 27 June 2019
ER -