Seismic Intensity Level (SIL) is a widely used measure in Japan for describing the localized severity of ground shaking, capturing its impact on structures and human environments. However, SIL lacks a direct connection to the neurophysiological responses of human occupants, which are critical for understanding fear, discomfort, and panic during seismic events. This study introduces Neuroseismology Intensity Level (NeuRIL pronounced “Know Real”)) as a novel metric that bridges this gap by linking traditional SIL with Electroencephalogram (EEG) data to quantify emotional responses to seismic shaking. This study explores the correlation between Seismic Intensity Level (SIL) and electroencephalography (EEG) responses, with potential applications for human-centered seismic design. Using controlled shaking table experiments, we measured EEG signals across various brain regions while correlating the SIL values recorded at the shaking table to capture emotional states such as “uncomfortable,” “uneasiness,” “fear,” and “scary.“ NeuRIL is calculated from the fluctuation of EEG signal which is composed of various frequency bands, reflecting the cognitive stress induced by ground motion. Preliminary findings reveal a measurable correlation between traditional SIL and NeuRIL, offering insights for developing human-centered seismic design standards, early warning systems, and personalized risk assessment models. This study proposes NeuRIL as a novel metric for a measuring comfort under shaking. It delivers real-time emotion estimates, outperforming existing physiological measures. Furthermore, NeuRIL is proposed as a novel metric in this study, with its validation left for future work.