Augmented calligraphy
Takahiro Shichinohe, Tetsuo Yamabe, Takahiro Iwata, Tatsuo Nakajima · 2010
In this demonstration, we introduce the augmented calligraphy system that aims at supporting a calligraphy learner's self-training process by giving feedback. In order to write characters well, body posture is a very important factor. However, it is difficult to keep proper posture without any assistance. Therefore, the system monitors the learner's posture by a web camera and notifies them if the posture moves into a bad shape. Several types of multimodal feedback were implemented, since we are particularly interested in how feedback design can decrease cognitive load.