Smart eyeglasses with an integrated electrooculogram (EOG) device (JINS MEME ES_R®, JINS Inc.) were evaluated as a quantitative diagnostic tool for blepharospasm. Participants without blepharospasm (n= 21) and patients with blepharospasm (n= 19) undertook two voluntary blinking tests (light and fast) while wearing the smart eyeglasses. Vertical (Vv) and horizontal (Vh) components were extracted from time-series voltage waveforms recorded during 30 s of the blinking tests. Two parameters, the ratio between the maximum and minimum values in the power spectrum (peak-bottom ratio, Fourier transform analysis) and the mean amplitude of the EOG waveform (peak amplitude analysis) were calculated. The mean amplitude ofVhfrom light and fast blinking was significantly higher in the blepharospasm group than in the control group (P< 0.05 andP< 0.05). Similarly, the peak-bottom ratio ofVvfrom light and fast blinking was significantly lower in the blepharospasm group than in the control group (P< 0.05 andP< 0.05). The mean amplitude ofVhand peak-bottom ratio ofVvcorrelated with the scores determined using the Jankovic rating scale (P< 0.05 andP< 0.01). Therefore, these parameters are sufficiently accurate for objective blepharospasm classification and diagnosis.