Zhenyu Cai

Tomasz M. Rutkowski, Hiromu Mori, Yoshihiro Matsumoto et al.

A new concept and an online prototype of haptic BCI paradigm are presented. Our main goal is to develop a new, alternative and low cost paradigm, with open-source hardware and software components. We also report results obtained with the novel dry EEG electrodes based signal acquisition system by g.tec, which further improves experimental comfort. We address the following points: a novel application of the BCI; a new methodological approach used compared to earlier projects; a new benefit for potential users of a BCI; the approach working online/in real-time; development of a novel stimuli delivery hardware and software. The results with five healthy subjects and discussion of future developments conclude this submission.

Moonjeong Chang, Nozomu Nishikawa, Zhenyu Cai et al.

The paper presents a pilot study conducted with spatial visual, audiovisual and auditory brain-computer-interface (BCI) based speller paradigms. The psychophysical experiments are conducted with healthy subjects in order to evaluate a difficulty and a possible response accuracy variability. We also present preliminary EEG results in offline BCI mode. The obtained results validate a thesis, that spatial auditory only paradigm performs as good as the traditional visual and audiovisual speller BCI tasks.

Zhenyu Cai, Shoji Makino, Takeshi Yamada et al.

The paper presents our recent results obtained with a new auditory spatial localization based BCI paradigm in which the ERP shape differences at early latencies are employed to enhance the traditional P300 responses in an oddball experimental setting. The concept relies on the recent results in auditory neuroscience showing a possibility to differentiate early anterior contralateral responses to attended spatial sources. Contemporary stimuli-driven BCI paradigms benefit mostly from the P300 ERP latencies in so called "aha-response" settings. We show the further enhancement of the classification results in spatial auditory paradigms by incorporating the N200 latencies, which differentiate the brain responses to lateral, in relation to the subject head, sound locations in the auditory space. The results reveal that those early spatial auditory ERPs boost online classification results of the BCI application. The online BCI experiments with the multi-command BCI prototype support our research hypothesis with the higher classification results and the improved information-transfer-rates.