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It is an important issue that the relationship between personality and individual characteristic of an electroencephalogram (EEG) for using a personalized brain computer interface on daily basis. In this paper, we introduce a method for discussing the relationship between personality based on egogram scores and the results of the EEG pattern detection. The(More)
ALS patients usually use augmentative and alternative communication tools to communicate with other people, but the assessment tools, including the selection of an input switch, are very difficult to operate. In this study, we developed a novel device to measure the physical ability of patients to operate the input switch with a push lever. The study(More)
According to the WHO, about 80% of visually impaired persons in the world are with low visual capacity. It is considered that LVs' safe independent mobility will be improved as employing Tactile Walking Surface Indicators (TWSIs). In the night, guidelines for constructing warning blocks, a kind of tactile surface indicator, have not been well established.(More)
This paper introduces a new learning algorithm for training self-organizing maps (SOM) to classify electroencephalogram (EEG) patterns that have individual differences. To classify these EEG patterns, we propose an algorithm that specifies the learning area for SOM based on sub-attribute information (SOMSA) related to the individual differences of EEG data.(More)
The authors have been continuously researching tactile walking surface indicators and audible pedestrian signals used for crossing intersections. A pedestrian walks to the opposite side of the crosswalk using audible pedestrian signals. The position where the audible pedestrian signal is set up clearly influences the pedestrian's path. We performed an(More)