Paper Info
Title
Cross-Cultural O2o English Teaching Based On Ai Emotion Recognition And Neural Network Algorithm
Abstract
Cross-cultural English teaching is limited by the influence of traditional teaching models, resulting in poor teaching results. In order to improve the efficiency of cross-cultural English teaching, with the support of AI emotion recognition and neural network algorithm, this paper builds a cross-cultural O2O English teaching system with intelligent recognition and management. Moreover, this research uses background models to detect and track targets, to realize the full recognition of students' emotions, and to facilitate teachers to effectively control online teaching. In addition, combined with online and offline teaching, this study uses neural network algorithm to stabilize the system and perform data processing, construct an overall O2O English teaching model according to actual needs, and formulate the corresponding teaching process. In order to verify the performance of the model, this study starts from two aspects: system performance test and system practice effect and uses statistical methods to collect and process data. The test results show that the model constructed in this paper has good performance and meets expectations.
Year
DOI
Venue
2021
10.3233/JIFS-189546
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
DocType
Volume
AI emotion recognition, neural network, cross-cultural, English teaching, O2O
Journal
40
Issue
ISSN
Citations 
4
1064-1246
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Mei Zhang100.34
Lijun Zhang224537.10