Research on Intelligent System of Russian Language Teaching and Cultural Fusion based on Facial Expression Recognition Algorithm

In the process of carrying out Russian language and culture teaching, the cross-cultural communication system can be used to improve the overall teaching efficiency. Expression recognition uses computers to recognize facial expressions and understand people's psychological states; gaze tracking uses the characteristics and positions of eyes to determine the area of gaze. Taking facial expression recognition as the key technology, by capturing and recognizing learners' expressions, judging and understanding their emotional states, this paper discusses language and culture from the aspects of conceptual definition, the relationship between language and culture, and the relationship between language teaching and cultural teaching, the inseparable relationship between language teaching and cultural teaching.