Yunyong PunsawadYodchanan WongsawatMahidol University2018-06-112018-06-112012-12-14Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. (2012), 1761-17641557170X2-s2.0-84870840055https://repository.li.mahidol.ac.th/handle/20.500.14594/13998To solve the eye fatigue problem on using the well known steady state visual evoked potential (SSVEP)-based brain-computer interface (BCI) system, the steady state auditory evoked potential (SSAEP) becomes one of the promising BCI modalities. However, SSAEP-based BCI system still suffers from the low accuracy. To increase the accuracy, in this paper, we propose the new training method to enhance the SSAEP training session. The training process is enhanced by making the users control their attention levels simultaneously with the detected auditory stimulus frequency. Furthermore, with the proposed training method, we also propose the corresponding single-frequency/multi-commands BCI paradigm. With the proposed paradigm, four commands can be detected by using only one auditory stimulus frequency. The proposed training system yields approximately 81% accuracy compared with 66% of the session without performing the proposed training. © 2012 IEEE.Mahidol UniversityComputer ScienceEngineeringMedicineOn the enhancement of training session performance via attention for single-frequency/multi-commands based steady state auditory evoked potential BCIConference PaperSCOPUS10.1109/EMBC.2012.6346290