公开(公告)号：US10884112B2

公开(公告)日：2021-01-05

申请号：US16626571

申请日：2018-11-29

Applicant: CENTRAL CHINA NORMAL UNIVERSITY

Inventor： Zongkai Yang ,  Sannvya Liu ,  Zhicheng Dai ,  Zengzhao Chen ,  Xiuling He

IPC: G01S11/06 ,  G01S5/02 ,  H04B17/318 ,  H04W4/33 ,  H04W4/80 ,  H04W4/021 ,  H04W4/02 ,  H04W8/00 ,  H04W64/00

Abstract: The disclosure discloses a fingerprint positioning method in a smart classroom, which is specifically: firstly, performing Gaussian filtering and taking the average value on a wireless signal strength value RSSI in the fingerprint database; then finding the neighbor point closest to the signal strength of the to-be-measured point; finally, the Euclidean distance is used as the weight reference, and the weighted center of mass is obtained for the nearest neighbor points. The weight index is introduced as an index of the weight, and the coordinates of the to-be-tested node are obtained. The disclosure has a higher positioning accuracy, smaller positioning error fluctuations and greater environmental adaptability.

公开(公告)号：US10916158B2

公开(公告)日：2021-02-09

申请号：US16697205

申请日：2019-11-27

Applicant: CENTRAL CHINA NORMAL UNIVERSITY

Inventor： Zongkai Yang ,  Jingying Chen ,  Sannvya Liu ,  Ruyi Xu ,  Kun Zhang ,  Leyuan Liu ,  Shixin Peng ,  Zhicheng Dai

IPC: G09B19/00 ,  G06K9/00 ,  G06K9/62 ,  G06Q50/20 ,  G09B7/00

Abstract: The invention provides a classroom cognitive load detection system belonging to the field of education informationization, which includes the following. A task completion feature collecting module records an answer response time and a correct answer rate of a student when completing a task. A cognitive load self-assessment collecting module quantifies and analyzes a mental effort and a task subjective difficulty by a rating scale. An expression and attention feature collecting module collects a student classroom performance video to obtain a face region through a face detection and counting a smiley face duration and a watching duration of the student according to a video analysis result. A feature fusion module fuses aforesaid six indexes into a characteristic vector. A cognitive load determining module inputs the characteristic vector to a classifier to identify a classroom cognitive load level of the student.