Share Paper: Development of attention measurement and feedback tool based on head posture

1. Wubulikasimu Wubuliaisan, Shanghai Engineering Research Center of Digital Education Equipment, East China Normal University, China
2. Ziyi Yin, college of art, East China Normal University, China
3. Jinjin An, Shanghai Engineering Research Center of Digital Education Equipment, East China Normal University, China

Abstract: Students' attention is one of the decisive factors affecting students' learning effect. In recent years, eye tracker, intelligent cushion, brain wave detection head ring, attention detection using video and other attention detection tools and methods have been developed. Focusing on the shortcomings of the above instruments and methods, this research develops an attention model based on head posture and an attention detection and feedback tool (hereinafter referred to as attention detection head ring). The attention model of this study divides students' class state into seven types: facing the blackboard, taking notes, looking left and right, looking out of the window, ...