Animal Exercise: A New Evaluation Method

Authors

  • Yu Qi The Graduate School of Bionics, Computer and Media Sciences, Tokyo University of Technology, Japan
  • Chongyang Zhang The Graduate School of Bionics, Computer and Media Sciences, Tokyo University of Technology, Japan
  • Hiroyuki Kameda The School of Computer Science, Tokyo University of Technology, Japan

DOI:

https://doi.org/10.30564/jcsr.v4i2.4759

Abstract

At present, Animal Exercise courses rely too much on teachers' subjective ideas in teaching methods and test scores, and there is no set of standards as a benchmark for reference. As a result, students guided by different teachers have an uneven understanding of the Animal Exercise and cannot achieve the expected effect of the course. In this regard, the authors propose a scoring system based on action similarity, which enables teachers to guide students more objectively. The authors created QMonkey, a data set based on the body keys of monkeys in the coco dataset format, which contains 1,428 consecutive images from eight videos. The authors use QMonkey to train a model that recognizes monkey body movements. And the authors propose a new non-standing posture normalization method for motion transfer between monkeys and humans. Finally, the authors utilize motion transfer and structural similarity contrast algorithms to provide a reliable evaluation method for animal exercise courses, eliminating the subjective influence of teachers on scoring and providing experience in the combination of artificial intelligence and drama education.

Keywords:

Motion transfer, Animal exercise, Evaluation method, Monkeys, Target scale normalization

References

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How to Cite

Qi, Y., Zhang, C., & Kameda, H. (2022). Animal Exercise: A New Evaluation Method. Journal of Computer Science Research, 4(2), 24–30. https://doi.org/10.30564/jcsr.v4i2.4759

Issue

Vol. 4 , Iss. 2 (April 2022)

Article Type

Article

License

Copyright © 2022 Author(s)

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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