Abstract
The character-input BCI has been studying as a communication aid for neuromuscular illness patients such as ALS. We focused on input-error in the character-input BCI. It is necessary that the subject has to concentrate high attention to input correct characters in the character-input BCI. On the other hand, it causes an input-error of far character when the subject is distractedness. Hence, we considered that the number of input error of far character may increase when the dementia patient uses the character-input BCI. Therefore, we conducted a character gazing experiment using the character-input BCI to the elderly. Then, we quantified the result of the character estimation of gazed character by calculating the SEDV (Spelling-Error Distance Value). As a result, in the Modarate1 group, the SEDV was 0.41 characters farther than the Questionably significant group. Hence, there is possibility that the character-input BCI may be able to screening dementia.
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Acknowledgments
I am deeply grateful to all the subjects who cooperated with the experiment pleas-antly when carrying out this study. We also deeply appreciate everyone Tokyo Med-ical University Hospital Elderly General Medicine Field who cooperated in securing and implementing the experiment space.
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Morooka, R., Tanaka, H., Umahara, T., Tsugawa, A., Hanyu, H. (2019). Cognitive Function Evaluation of Dementia Patients Using P300 Speller. In: Ayaz, H., Mazur, L. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2018. Advances in Intelligent Systems and Computing, vol 775. Springer, Cham. https://doi.org/10.1007/978-3-319-94866-9_6
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DOI: https://doi.org/10.1007/978-3-319-94866-9_6
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