Feature extraction of finger movement in blood sampling technique using magnetic motion capture

Abstract

Blood sampling is one of the most difficult skills for beginners because it requires hand dexterity. The problem is that many students cannot acquire the skill sufficiently before graduating nursing course. In our previous study, we developed a blood sampling technique measuring system with high spatial resolution. Then, we developed a system that allows students to practice by imitating the movement of teacher's syringe that was reproduced by CG from the measured nursing teacher's motion data and superimposed on the real space via the optical see-through HMD. We believe that by adding a quantitative evaluation function of blood sampling technique to this system, the learning efficiency of blood sampling can be improved. As a basic study for this purpose, we propose an index needed for the development of the aforementioned quantitative evaluation function.