[1D4-J-1] Fundamental AI, theory: bio-inspired intelligence

[1D4-J-1-02] Evaluation of work load estimation index of somatosensory evoked potential by N-back task

〇Koichi Chiba¹, Yusuke Yokota², Yasusi Naruse², Ikuko Yairi¹ (1. Sophia University, 2. NICT)

Keywords:EEG, Mental Work Load, Somatosensory Evoked Potentials

The purpose of this study is to elucidate a method that uses somatosensory evoked potential as an estimation index of workload. Realtime estimation of the workload in the brain by AI system will enable to increase the concentration of people by keeping a moderate tension. The quality of interaction between the system and people could be largely increased by intervention of interacting when people lost the concentration. We measured and analyzed the activity of the brain during the execution of the N-back task while presenting somatosensory stimuli to 10 participants without inpairment. As a result, amplitude modulation was seen with N9 which is one of somatosensory evoked potential components. In addition, a t test was performed on it, and a significant difference was observed. The Bonferroni method was used to correct the p value.