most citedAuditory Steady-State Response Stimuli based BCI Application - The Optimization of the Stimuli Types and Lengths

15 citations · 30 across the 7 of their papers we have counts for

collaborators

7 papers

q-bio.NC2012

Multicommand Tactile Brain Computer Interface based on Fingertips or Head Stimulation

Hiromu Mori, Yoshihiro Matsumoto, Koichi Mori +5

The paper presents results from a computational neuroscience study conducted to test vibrotactile stimuli delivered to subject fingertips and head areas in order to evoke the somat…

cs.HC20123 cited

Vibrotactile Stimulus Frequency Optimization for the Haptic BCI Prototype

Hiromu Mori, Yoshihiro Matsumito, Shoji Makino +2

The paper presents results from a psychophysical study conducted to optimize vibrotactile stimuli delivered to subject finger tips in order to evoke the somatosensory responses to…

cs.HC20121 cited

Psychophysical Responses Comparison in Spatial Visual, Audiovisual, and Auditory BCI-Spelling Paradigms

Moonjeong Chang, Nozomu Nishikawa, Zhenyu Cai +2

The paper presents a pilot study conducted with spatial visual, audiovisual and auditory brain-computer-interface (BCI) based speller paradigms. The psychophysical experiments are…

cs.HC20127 cited

The Spatial Real and Virtual Sound Stimuli Optimization for the Auditory BCI

Nozomu Nishikawa, Yoshihiro Matsumoto, Shoji Makino +1

The paper presents results from a project aiming to create horizontally distributed surround sound sources and virtual sound images as auditory BCI (aBCI) stimuli. The purpose is t…

q-bio.NC20123 cited

Spatial Auditory BCI Paradigm Utilizing N200 and P300 Responses

Zhenyu Cai, Shoji Makino, Takeshi Yamada +1

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 enh…

cs.HC201215 cited

Auditory Steady-State Response Stimuli based BCI Application - The Optimization of the Stimuli Types and Lengths

Yoshihiro Matsumoto, Nozomu Nishikawa, Takeshi Yamada +2

We propose a method for an improvement of auditory BCI (aBCI) paradigm based on a combination of ASSR stimuli optimization by choosing the subjects' best responses to AM-, flutter-…