Online teaching refers to the use of network platforms for educational activities, which allows students and teachers to communicate and learn online without having to meet face to face. The development of online teaching depends on different countries and regions. In many countries and regions, online teaching has become an important way of education. Especially in recent years, due to the COVID-19 pneumonia epidemic, many schools and universities have turned to online teaching. As people all know, there are many problems in traditional offline teaching. For example, the classroom environment may not be ideal, and the offline teaching schedule is not flexible. Therefore, online teaching mode is gradually accepted by the public, but there are still many problems in online teaching. Therefore, it is necessary to continuously optimize and improve online teaching mode. This paper proposed an online teaching mode based on human-computer interaction intelligence information, which aimed to study and optimize the shortcomings of online teaching mode and optimize the experience of students and teachers. The algorithm proposed in this paper is a gesture recognition algorithm based on human-computer interaction technology. Through this algorithm, the noise in the video image can be removed and optimized, and the hand motion can be extracted and collected through intelligent gesture recognition technology. This can greatly optimize the speed and efficiency of gesture recognition. Through scientific teaching experiments, the results show that after carrying out the traditional offline teaching mode and online teaching mode respectively, people can see that the average scores of Chinese, mathematics and English in the control class are 87.31, 86.54 and 86.21 respectively. The average scores of Chinese, mathematics and English in the experimental class were 88.14, 87.38 and 87.26 respectively. Obviously, online teaching has a better effect on improving students’ performance. Through the research of this paper, it can prove that human-computer interaction technology has a good optimization role in online teaching, and this paper also pointed out a new research direction for human-computer interaction technology and online teaching research.
