リバビリテーションのための親指先端可動域の計測と可視化

抄録

For medical care and rehabilitation of hand and finger injury we developed a 3-D measurement and visualization framework and prototype system, which employs RGBD sensor and a deep neural network based visual detection and tracking method. By using this system for the actual medical treatment, doctors and medical staffs can record patient’s finger ability in quantitatively and perceive the effectiveness of the treatment intuitively. The experimental results for virtual testers are shown.