Development Of Attention Measurement And Feedback Tool Based On Head Posture

Students’ attention is one of the decisive factors affecting students’ learning effect.In recent years,eye tracker,intelligent cushion,brain wave detection head ring,video attention detection and other attention detection tools and methods have been developed.This research focuses on the shortcomings and deficiencies of the above instruments and methods,closely follows the current development trend and technology frontier of education,such as smart education,personalized education,big data technology and Internet of things technology,and constructs the attention assessment model and attention assessment and feedback tool based on head posture.The attention assessment model of this study divides students’ class state into seven types:facing the blackboard,bowing to take notes,looking left and right,looking out of the window,group discussion,daze and sleep.The attention assessment and feedback tool judges what state the students are in according to the posture angle and movement process of the students’ head,and alerts the students of poor attention in the way of vibration.This attention measurement and feedback tool uses ZigBee,cloud computing and other technologies to ensure and realize the expansion and networking of the head ring scale.Finally,the effectiveness of the tool is proved by individual experiments and experiments in real classroom.This tool can help education and teaching improve teaching effectiveness from individual and overall aspects.