Enhancing Finger Motion Measurement System and Data Export Techniques for End-Users’ Operation

As Japan’s population continues to age, the rise in dementia cases has become a major societal issue. For early diagnosis and rehabilitation of dementia, research has focused on techniques that measure hand-motor skills to evaluate cognitive function. Previous systems faced challenges such as the need for improved hand movement evaluation methods, difficulty in system operation and implementation by end-users, and inadequate methods for data provision and visualization. This paper aims to enhance a web service to assess manual dexterity through tapping tasks. The proposed system has revised the evaluation method for scenarios where multiple tapping actions are performed under the same instruction, enabling more accurate assessments of motor function. Additionally, by employing Docker container technology to simplify system startup and converting recorded data into the more user-friendly XLSX format for use in applications like Excel, the system has improved data handling, making it more accessible for end-users.