The symptoms of Parkinson's disease are evaluated through the Finger Tapping Test (FTT), but this method
has some limitations. Therefore, we evaluated the clinical applicability of motion software based on artificial
intelligence (AI) technology developed by our research team. FTT videos of five young participants and eight
elderly participants were analyzed through the AI-based software. As a result, when the fingers were spread
out and folded, statistical differences were estimated in the 'distance' between the thumb tip and the index fingertip
(p = 0.032, 0.008, respectively). Also, when the fingers were spread out, a statistical difference was found
in the angle (p = 0.008). These preliminary research results showed the possibility of developing an FTT evaluation
technique based on AI software in the future. The results of this study are expected to be helpful in the
development of quantitative evaluation tools for neuro-rehabilitation with electromagnetic brain stimulation.