Central China Normal University

Central South Normal University

Zongkai Yang

Zheng Zhong

Zhicheng Dai

Sannyuya Liu

Di Wu

Liang Zhao

Jianwen Sun

Ke Wu

Xiaoliang Zhu

Xu Chen

Qing Li

Jingying Chen

Sannvya Liu

Kun Zhang

Hao Li

Shengming Wang

Zengzhao Chen

Xiuling He

Ruyi Xu

Jiangbo Shu

Leyuan Liu

Shixin Peng

Jiaer Chen

Yutao Ling

Lili Liu

Ceyu Deng

Shulan Jin

Dongbo Zhou

Disclosed are a non-contact fatigue detection method and system. The method comprises: sending a millimeter-wave (mmWave) radar signal to a person being detected, receiving an echo signal reflected from the person, and determining a time-frequency domain feature, a non-linear feature and a time-series feature of a vital sign signal; acquiring a facial video image of the person, and performing facial detection and alignment on the basis of the facial video image, for extracting a time domain feature and a spatial domain feature of the person's face; fusing the determined vital sign signal with the time domain feature and the spatial domain feature of the person's face, for obtaining a fused feature; inputting the fused feature into a classifier to perform fatigue state recognition of said person, and determining whether the person is in a fatigued state by the fused feature. By fusing the two detection techniques, the method effectively suppressing the interference of subjective and objective factors, and improving the accuracy of fatigue detection.

Non-contact fatigue detection method and system

Disclosed are a millimeter-wave (mmWave) radar-based non-contact identity recognition method and system. The method comprises: emitting an mmWave radar signal to a user to be recognized, and receiving an echo signal reflected from the user; performing clutter suppression and echo selection on the echo signal, and extracting a heartbeat signal; segmenting the heartbeat signal beat by beat, and determining its corresponding beat features; and comparing the beat features of the user with the beat feature sets of a standard user group; if the beat features of the user matches one of the beat feature set of in the standard user group, the identity recognition being successful; otherwise, being not successful. According to the method, the use of a heartbeat signal for identity recognition has high reliability, and the use of an mmWave radar technology for non-contact identity recognition has high flexibility and accuracy.

Millimeter-wave (mmWave) radar-based non-contact identity recognition method and system

Disclosed are training method and system for autism language barrier based on adaptive learning scaffold, and the method includes the following steps: analyzing and assessing the state of the user before training to obtain an analysis result, and generating an initialized training path based on the analysis result; obtaining training question information, predicting a question-answering correct rate of the user based on user information and training question information, constructing a proximal development zone, and adding training questions that meet the accuracy requirements to the proximal development zone; updating the initialized training path, classifying the training questions in the proximal development zone, adding the classified training questions to the main training task or branch training task, and the user will perform learning and training according to the training task. The disclosure may recommend a suitable training path, and formulate training tasks that are suitable for the user's ability level.

Training method and system for autism language barrier based on adaptive learning scaffold

The present disclosure provides a non-contact fatigue detection system and method based on rPPG. The system and method adopt multi-thread synchronous communication for real-time acquisition and processing of rPPG signal, enabling fatigue status detection. In this setup, the first thread handles real-time rPPG data capture, storage and concatenation, while the second thread conducts real-time analysis and fatigue detection of rPPG data. Through a combination of skin detection and LUV color space conversion, rPPG raw signal extraction is achieved, effectively eliminating interference from internal and external environmental facial noise; Subsequently, an adaptive multi-stage filtering process enhances the signal-to-noise ratio, and a multi-dimensional fusion CNN model ensures accurate detection of respiration and heart rate. The final step involves multi-channel data fusion of respiration and heartbeats, succeeding in not only learning person-independent features for fatigue detection but also detecting early fatigue with very high accuracy.

Non-contact fatigue detection system and method based on RPPG

Provided are a facial expression recognition method and system combined with an attention mechanism. The method comprises: detecting faces comprised in each video frame in a video sequence, and extracting corresponding facial ROIs, so as to obtain facial pictures in each video frame; aligning the facial pictures in each video frame on the basis of location information of facial feature points of the facial pictures; inputting the aligned facial pictures into a residual neural network, and extracting spatial features of facial expressions corresponding to the facial pictures; inputting the spatial features of the facial expressions into a hybrid attention module to acquire fused features of the facial expressions; inputting the fused features of the facial expressions into a gated recurrent unit, and extracting temporal features of the facial expressions; and inputting the temporal features of the facial expressions into a fully connected layer, and classifying and recognizing the facial expressions.

Facial expression recognition method and system combined with attention mechanism

This application relates to teaching applications of virtual reality technology, and provides a three-dimensional (3D) integrated teaching field system based on a flipped platform and a method for operating the same. The system includes a device deployment module, a teaching resource matching module, an acquisition and processing module and an edge computing module. The method includes spatial division of the 3D comprehensive teaching field system in an offline classroom, device deployment, edge computing, holographic display, data acquisition, motion positioning, and construction of a teaching interactive environment.

Three-dimensional (3D) integrated teaching field system based on flipped platform and method for operating same

The disclosure discloses a method for analyzing educational big data on the basis of maps. The method includes acquiring educational resource data and storing the educational resource data into databases according to certain data structures; constructing theme map layers for each analysis theme, classifying and indexing data according to the analysis themes, and superimposing the theme map layers onto base maps to form data maps; analyzing data of the theme map layers according to the analysis themes and acquiring theme analysis results; extracting the data of the multiple theme map layers in target regions, fusing the data and acquiring region analysis results; acquiring learning preference of users; combining the learning preference of the users according to content of user requests and searching the region analysis results in response to the user requests. The disclosure further discloses a system for analyzing the educational big data on the basis of the maps.

Method and system for analyzing educational big data on basis of maps

A method for operating a comprehensive three-dimensional teaching field, including: collecting, by a sensor, a depth data of a real teaching space, point cloud data of a teacher and voice data of the teacher; performing calculation and caching of an architecture for data storage, transmission and rendering of a virtual teaching space based on edge cloud; building a database model of the virtual teaching space by using a R-tree spatial index structure to realize distributed data storage; generating a virtual avatar model updating in real time by positioning and tracking an action of a user; displaying an image of the virtual teaching space on terminals of the teacher and a student through encoding, uploading, 5G rendering and decoding by using a 5G link.

Comprehensive three-dimensional teaching field system and method for operating same

A method for generating sense of reality of a virtual object in a teaching scene includes perception of a teaching space, generation of sense of reality of a virtual object and generation of real effect of dynamic interaction. The method is specifically performed through steps of collecting depth data of the teaching space; perceiving changes of a scene object in a field of view in real time; collecting a light intensity in the teaching scene to realize a virtual-real fused lighting effect; generating a shadow effect of the virtual object in real time by using ShadowMap; and guiding a teacher to use a multi-modal algorithm to complete a real-time interaction with the virtual object by setting interactive prompts of a sight target and a virtual hand.

Method for generating sense of reality of virtual object in teaching scene

A method for generating a high-precision and microscopic virtual learning resource includes acquisition of high-definition specimen images, generation of a 3D model of a surface a specimen and interactive display of a microscopic virtual learning resource.

Method for generating high-precision and microscopic virtual learning resource

Provided is a 5G interactive distance dedicated teaching system based on holographic terminal and a working method thereof. The distance dedicated teaching system includes a data acquisition module, a data transmission module, a 5G cloud rendering module, a natural interaction module, a holographic display module and a teaching service module.

5th-generation (5G) interactive distance dedicated teaching system based on holographic terminal and method for operating same

A fusion method for movements of a teacher in a teaching scene includes normalization, motion perception and fusion of movements. According to interaction needs in an enhanced teaching scene, this application establishes a moving information collection and a conversion of moving position and range to realize the normalization of movement.

Fusion method for movements of teacher in teaching scene

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.

Classroom teaching cognitive load measurement system

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.

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Hubei, China

Zongkai Yang