Estimating creativity drawing features from hand drawing logs
Kohei Urayama, Hiromitsu Shimakawa, Fumiko Harada · 2022
Students should engage in creative works in schools. However, there is no sensor to measure on the spot whether they engage in creative works. This work assumes engagement in creative works shows up in their writing features with pens. It uses a tablet and an electronic pen to acquire the writing features. It applies Random forests to detect the writing features. The results have showed that the features appear in writing pressure, velocity, and pen tilt angle.