Wang Yijun, Wang Ruiping, Gao Xiaorong, Hong Bo, Gao Shangkai
Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China.
IEEE Trans Neural Syst Rehabil Eng. 2006 Jun;14(2):234-9. doi: 10.1109/TNSRE.2006.875576.
This paper introduces the development of a practical brain-computer interface at Tsinghua University. The system uses frequency-coded steady-state visual evoked potentials to determine the gaze direction of the user. To ensure more universal applicability of the system, approaches for reducing user variation on system performance have been proposed. The information transfer rate (ITR) has been evaluated both in the laboratory and at the Rehabilitation Center of China, respectively. The system has been proved to be applicable to > 90% of people with a high ITR in living environments.
本文介绍了清华大学一款实用脑机接口的开发情况。该系统利用频率编码稳态视觉诱发电位来确定用户的注视方向。为确保系统具有更广泛的适用性,已提出减少用户差异对系统性能影响的方法。分别在实验室和中国康复中心对信息传输速率(ITR)进行了评估。该系统已被证明适用于90%以上的人群,在生活环境中具有较高的信息传输速率。