2022 年 10 巻 1 号 p. 75-81
Accurate typing in the home position is recommended to type efficiently on a PC. For this reason, a lot of software has been developed to learn typing in the home position. However, few of them can determine the actual fingering simply by presenting the location of the fingers. Therefore, the system to automatically determine have been developed whether the fingering is in the correct home position using a Leap Motion. Using this discrimination system, the Typing Learning Game is constructed that can correct subjects to type in the home position. Thus, by handling the fingering data of these subjects, efficient learning can be achieved. In the experiment, 15 subjects typed 1800 characters each, and the discrimination accuracy of the Fingering Discrimination System was 98.8%, and the fingering was improved by 25.6% from the results of the Typing Learning Game. The results show that the proposed automatic Fingering Discrimination System can accurately determine the fingering of the subject.