Abstract
We have been developing the “Neurocommunicator”, an EEG-based communication aid for people with severe motor disabilities. This system analyzes an event-related potential (ERP) to the sequentially flashed pictograms to indicate a desired message, and predicts the user’s choice in the brain. To speed-up of this decoding process, we introduced a special algorithm, the Virtual Decision Function (VDF), which was originally designed to reflect the continuous progress of binary decisions on a single trial basis of neuronal activities in the primate brain. We applied the VDF to the EEG signals, and succeeded in faster decoding of the target.
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Acknowledgments
We thank Drs. Chikashi Fukaya, Tetsuto Minami, Yuki Nakayama and Hiroki Hagiwara for helpful comments, and staff of Neurotechnology research group for technical support. This work was supported by JSPS KAKENHI Grant Number 25293449 and by NEDO Grant Number 15102349-0.
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Hasegawa, R.P., Nakamura, Y. (2016). An Attempt of Speed-up of Neurocommunicator, an EEG-Based Communication Aid. In: Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M., Liu, D. (eds) Neural Information Processing. ICONIP 2016. Lecture Notes in Computer Science(), vol 9947. Springer, Cham. https://doi.org/10.1007/978-3-319-46687-3_28
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DOI: https://doi.org/10.1007/978-3-319-46687-3_28
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