Abstract—In this study, we propose a recall method and a signal processing method to achieve intentional BCI output by a user by changing the fNIRS waveforms from the central part of the forehead by having the user recollect the experience of eating savory and spicy instant noodle. In other words, we focused on the differences in the amount of change in oxygenated hemoglobin concentration at the upper center of the forehead and the amount of change in oxygenated hemoglobin concentration lower center of the forehead when recollecting the experience of eating led to intentional BCI output. When the amount of change in oxygenated hemoglobin concentration in the lower center of the forehead changes significantly more than the amount of change in oxygenated hemoglobin concentration in the upper center of the forehead, BCI output occurred. Results of a series of experiments, our best output result for 109 intended BCI outputs was 104 successful outputs (i.e., a success rate of 94.5%). In comparison, there were four outputs when output was not intended, and four instances of no output when output was intended. We believe this suggests that we can execute highly accurate BCI output by adjusting the time intervals when acquiring the difference value from the set time intervals, and by adjusting the thresholds of the cumulative value of the difference between the probes that measure the difference value of the set time interval for the amount of change in oxygenated hemoglobin concentration lower center of the forehead and that measure the difference value of the set time interval for the amount of change in oxygenated hemoglobin concentration upper center of the forehead.
 

Index Terms—brain-computer interface, fNIRS, recall of eating experience, spicy instant noodle

Cite: Yuya Nakai, Maki Nakamura, Motomasa Tomida, Hajime Kotani, and Kiyoshi Hoshino, "Brain-Computer Interface Using fNIRS Waveforms when Recalling the Experience of Eating Savory and Spicy Instant Noodle," Journal of Advances in Information Technology, Vol. 13, No. 4, pp. 381-386, August 2022.

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