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Application of AI-based real-time gesture recognition and embedded system in the design of english major teaching

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Abstract

With the continuous development of science and technology, people have begun to interact with computer equipment, and human–computer interaction has become more and more simple. The human–computer interaction page is very user-friendly, people can communicate with the machine naturally, and can send signals through touch or gestures. In the process of person-to-person communication, gestures are a very common method that can convey specific signals. If you want to use gestures to send signals in human–computer interaction, you need to use the knowledge of computer vision to pave the way for human–computer interaction. We can deploy a teaching platform on the network platform to guide the teaching of English, which has become one of the teaching methods in many schools. In our school's research, we have incorporated some multimedia teaching in the English classroom teaching, and use multimedia teaching to stimulate students' interest in learning and improve their learning efficiency. We have changed the traditional teaching mode, through the way of human–computer interaction, using people's body movements and gesture information to interact. We also use AI technology to obtain the feature value of the vector angle through the three-dimensional characteristics of people's bones, and propose a KNN rapid recognition method. When constructing the English teaching system, we used the popular SSH framework and the C/S structure to design, and then we used design patterns to realize the reusability of the software. Finally, we conducted performance tests and functional tests on the system. The results show that this system can assist English teaching and can meet the needs of teaching.

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Authors and Affiliations

  1. School of Humanisties and Arts, Xingzhi College of Xi’an, Universtiy of Finace and Economics, Xi’an, 710038, Shaanxi, China

    Tian Zhang

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  1. Tian Zhang
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Correspondence to Tian Zhang.

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Zhang, T. Application of AI-based real-time gesture recognition and embedded system in the design of english major teaching. Wireless Netw (2021). https://doi.org/10.1007/s11276-021-02693-0

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  • DOI: https://doi.org/10.1007/s11276-021-02693-0

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