1-2hit |
Masato SOGA Masahito OHAMA Yosikazu EHARA Masafumi MIWA
We developed a real-world oriented mobile constellation learning environment. Learners point at a target constellation by gazing through a cylinder with a gyro-sensor under the real starry sky. The system can display information related to the constellation. The system has original exercise functions which are not supported by existing systems or products by other research group or companies. Through experimentation, we evaluated the learning environment to assess its learning effects.
In this paper, we propose a new method for non-dominant limb training. The method is that a learner aims at a motion which is generated by reversing his/her own motion of dominant limb, when he/she tries to train himself/herself for non-dominant limb training. In addition, we designed and developed interface for the new method which can select feedback types. One is an interface using AR and sound, and the other is an interface using AR and vibration. We found that vibration feedback was effective for non-dominant hand training of pitching motion, while sound feedback was not so effective as vibration.