As society gradually becomes more intelligent, the development momentum of robots is becoming more and more fierce. Along with it is audio and video processing technology. In modern society, parents also pay more and more attention to the cultivation of children's hobbies; sports and dance are deeply loved by children. Therefore, sports dance robots combined with computer audio and video processing technology have gradually entered people's vision. This article mainly studies the influence of computer audio and video processing technology on the teaching of sports dance. In the experiment, 100 junior high school students were randomly selected. Through group teaching and group assessment and scoring, the comparative advantages of robot teaching and conventional teaching were explored. The experiment found that the students in the robot teaching group performed much better than the regular group. The lowest score in the robot teaching group was 60.9, while the lowest score in the conventional teaching group was 52.7; the robot teaching group scored 19 excellent people and 14 in the regular group. The results show that the robot teaching model has a certain role in promoting students' learning, and can well improve the students' enthusiasm for learning, and then improve their scores. Robots have a certain role in promoting modern classroom teaching, which can effectively improve students' enthusiasm for learning, and also greatly improve the learning efficiency of children. At the same time, audio and video processing technology has also been more widely used.

Wenbo Cai. Computer Audio and Video Processing Technology in Sports Dance Teaching.  International Journal of Educational Innovation and Science (2020), Vol. 1, Issue 1: 43-58. https://doi.org/10.38007/IJEIS.2020.010104.

[1] Wang Q, Yang X, Huang Z, et al. A novel design framework for smart operating robot in power system. IEEE/CAA Journal of Automatica Sinica, 2018, 5(2):531-538. https://doi.org/10.1109/JAS.2017.7510838

[2] Guanci Y, Jing Y, Weihua S, et al. Convolutional Neural Network-Based Embarrassing Situation Detection under Camera for Social Robot in Smart Homes. Sensors, 2018, 18(5):1530-. https://doi.org/10.3390/s18051530

[3] Chen Y, Wang W, Biron Z, et al. A Smart Companion Robot for Heavy Payload Transport and Manipulation in Automotive Assembly. IEEE Robotics & Automation Magazine, 2018, PP(99):1-1.

[4] Kim D G. Smart construction robot technology to improve construction and safety in outer walls of high-rise buildings. Asia life sciences, 2018(4):2303-2318.

[5] Wilson G, Pereyda C, Raghunath N, et al. Robot-enabled support of daily activities in smart home environments. Cognitive Systems Research, 2019, 54(MAY):258-272. https://doi.org/10.1016/j.cogsys.2018.10.032

[6] Masamune K, Nishikawa A, Kawai T, et al. The development of Smart Cyber Operating Theater (SCOT), an innovative medical robot architecture that can allow surgeons to freely select and connect master and slave telesurgical robots. Impact, 2018, 2018(3):35-37. https://doi.org/10.21820/23987073.2018.3.35

[7] Parashar S, Tomar P. Waste Management by a Robot- A Smart and Autonomous Technique. Iosr Journal of Electronics & Communication Engineering, 2018, 13(6):31-36.

[8] Duckworth P. Unsupervised Human Activity Analysis for Intelligent Mobile Robot. Ki Künstliche Intelligenz, 2018, 32(4):291-294. https://doi.org/10.1007/s13218-018-0558-4

[9] Gu S, Zeng W, Jia Y, et al. Intelligent Tennis Robot Based on a Deep Neural Network. Applied Sciences, 2019, 9(18):3746. https://doi.org/10.3390/app9183746

[10] Xiao-Wei X. Study on the intelligent system of sports culture centers by combining machine learning with big data. Personal and Ubiquitous Computing, 2020, 24(1):151-163. https://doi.org/10.1007/s00779-019-01307-z

[11] Gong W, Tong L, Huang W, et al. The optimization of intelligent long-distance multimedia sports teaching system for IOT. Cognitive Systems Research, 2018, 52(DEC.):678-684. https://doi.org/10.1016/j.cogsys.2018.08.005

[12] Subramaniyaswamy V, Logesh R, Indragandhi V. Intelligent sports commentary recommendation system for individual cricket players. International journal of advanced intelligence paradigms, 2018, 10(1-2):103-117. https://doi.org/10.1504/IJAIP.2018.089492

[13] Cao S. Intelligent lighting control system in large-scale sports competition venues. Light and Engineering, 2018, 26(4):172-182. https://doi.org/10.33383/2018-127

[14] Gu D, Lima S, Rocha, Álvaro. Analysis of tactical information collection in sports competition based on the intelligent prompt automatic completion algorithm. Journal of Intelligent & Fuzzy Systems, 2018, 35(3):2927-2936. https://doi.org/10.3233/JIFS-169648

[15] Munz M, Engleder T. Intelligent Assistant System for the Automatic Assessment of Fall Processes in Sports Climbing for Injury Prevention based on Inertial Sensor Data. Current Directions in Biomedical Engineering, 2019, 5(1):183-186. https://doi.org/10.1515/cdbme-2019-0047

[16] Kaiyan H, Qin W. The development and popularisation of network platform of college sports venues in intelligent manufacturing. International Journal of Reasoning-based Intelligent Systems, 2018, 10(1):20-25. https://doi.org/10.1504/IJRIS.2018.091126

[17] Guangjing L, Cuiping Z. Research on static image recognition of sports based on machine learning. Journal of Intelligent and Fuzzy Systems, 2019, 37(12):1-11. https://doi.org/10.3233/JIFS-179203

[18] Liang S. Intelligent decision model of sports training knowledge based on dynamic deep learning. IPPTA: Quarterly Journal of Indian Pulp and Paper Technical Association, 2018, 30(6):174-181.

[19] Han K, Wang Q. Research on 020 Platform and Promotion Algorithm of Sports Venues Based on Deep Learning Technique. International Journal of Information Technology & Web Engineering, 2018, 13(3):73-84. https://doi.org/10.4018/IJITWE.2018070105

[20] Simoens P, Dragone M, Saffiotti A. The Internet of Robotic Things. International Journal of Advanced Robotic Systems, 2018, 15(1):172988141875942. https://doi.org/10.1177/1729881418759424

[21] Khosiawan Y, Khalfay A, Nielsen I. Scheduling unmanned aerial vehicle and automated guided vehicle operations in an indoor manufacturing environment using differential evolution-fused particle swarm optimization. International Journal of Advanced Robotic Systems, 2018, 15(1):172988141775414. https://doi.org/10.1177/1729881417754145

[22] Dekan M, Frantiek, Duchoň, Andrej B, et al. Moving obstacles detection based on laser range finder measurements. International Journal of Advanced Robotic Systems, 2018, 15(1):172988141774813. https://doi.org/10.1177/1729881417748132

[23] Maximo C, Sandra R. SART3D: A MATLAB toolbox for spatial audio and signal processing education. Computer Applications in Engineering Education, 2019, 27(4):971–985. https://doi.org/10.1002/cae.7

[24] Chu N N. The ieee international conference on video and audio signal processing in the context of neurotechnology [conference reports]. Consumer Electronics Magazine IEEE, 2019, 8(2):8-9. https://doi.org/10.1109/MCE.2018.2880847

[25] Gannot S, Naylor P A. Highlights From the Audio and Acoustic Signal Processing Technical Committee [In the Spotlight]. IEEE Signal Processing Magazine, 2019, 36(2):136-134. https://doi.org/10.1109/MSP.2018.2888634

[26] Li H, Zhu J, Ma C, et al. Read, Watch, Listen, and Summarize: Multi-Modal Summarization for Asynchronous Text, Image, Audio and Video. IEEE Transactions on Knowledge and Data Engineering, 2019, 31(5):996-1009. https://doi.org/10.1109/TKDE.2018.2848260

[27] Ruan F, Zhang X, Zhu D, et al. Deep learning for real-time image steganalysis: a survey. Journal of Real Time Image Processing, 2020, 17(1):149-160. https://doi.org/10.1007/s11554-019-00915-5

[28] Qin R, Zhou C, Zhu H, et al. A Music-Driven Dance System of Humanoid Robots. International journal of humanoid robotics, 2018, 15(5):1850023.1-1850023.31. https://doi.org/10.1142/S0219843618500238

[29] Jian Y, Li Y. Research on intelligent cognitive function enhancement of intelligent robot based on ant colony algorithm. Cognitive Systems Research, 2019, 56(AUG.):203-212. https://doi.org/10.1016/j.cogsys.2018.12.014

[30] Sha L, Lucey P, Yue Y, et al. Interactive Sports Analytics: An Intelligent Interface for Utilizing Trajectories for Interactive Sports Play Retrieval and Analytics. Acm Transactions on Computer Human Interaction, 2018, 25(2):13.1-13.32. https://doi.org/10.1145/3185596

[31] Sengupta A, Ray N. Audio and Video Technologies: Recent Advances in Consumer Electronics. Consumer Electronics Magazine, IEEE, 2018, 7(5):26-26. https://doi.org/10.1109/MCE.2018.2835880