Abstract
Among the clinical features of Parkinson’s disease, It’s important to evaluate Bradykinesia. In order to evaluate Bradykinesia, a Finger Tapping Test included in the kinematic test item on the Unified Parkinson’s Disease Rating Scale is employed. For the accuracy of evaluation, there is a need for a tool that can perform a Finger Tapping Test based on quantitative data. In this study, An AI based novel approach to evaluate a human motion function quantitatively was suggested and demonstrated for use of rehabilitation therapy using Mediapipe. For a preliminary experiment, the finger tapping test was employed to evaluate its clinical utilization. The developed software showed results that were very consistent with the expert’s evaluation opinion. The AI based developed software showed the high potential for clinical use as a quantitative evaluation tool that is cost-effective & easy to use.
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Hwang, Sm., Park, S., Seo, Ny., Park, HY., Jung, YJ. (2022). AI Based Convenient Evaluation Software for Rehabilitation Therapy for Finger Tapping Test. In: Kim, JH., Singh, M., Khan, J., Tiwary, U.S., Sur, M., Singh, D. (eds) Intelligent Human Computer Interaction. IHCI 2021. Lecture Notes in Computer Science, vol 13184. Springer, Cham. https://doi.org/10.1007/978-3-030-98404-5_11
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DOI: https://doi.org/10.1007/978-3-030-98404-5_11
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