Research on Teaching Effect Feedback Based on Expression Recognition Technology
With the rapid development of artificial intelligence technology,the application of facial expression recognition technology is becoming increasingly widespread.A college is a gathering place for students,and the source of facial expression data is abundant,providing data support for the research of facial expression recognition technology.This paper takes classroom recorded videos as the research object,uses K210 to detect face for facial expression feature extraction and classification,and grades the classroom quality.The Pearson product moment correlation coefficient is used to verify the correlation between classroom quality grade rating and teacher evaluation,and finally,a study on teaching effect feedback is conducted.
国家科技期刊平台
NSTL
万方数据
