<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The article proposes a human motion capture method based on operational data. The thesis first uses the human body wear system to perform functional processing on the captured periodic motion data, and then extracts the data sequence for the few motions. Thereafter, the classification of the vector calculation method is carried out according to the characteristics of periodic data. Through experimental research, it is found that the functional data analysis (FDA) algorithm proposed in the thesis can accurately identify human motion behaviour, and the automatically collected data has a recognition rate that is as high as 98.9%. Therefore, we have concluded that the human body data functional analysis algorithm has higher recognition accuracy than the traditional optical capture system. Thus, it is worthy of further research and discussion.</p>
</abstract>

The article proposes a human motion capture method based on operational data. The thesis first uses the human body wear system to perform functional processing on the captured periodic motion data, and then extracts the data sequence for the few motions. Thereafter, the classification of the vector calculation method is carried out according to the characteristics of periodic data. Through experimental research, it is found that the functional data analysis (FDA) algorithm proposed in the thesis can accurately identify human motion behaviour, and the automatically collected data has a recognition rate that is as high as 98.9%. Therefore, we have concluded that the human body data functional analysis algorithm has higher recognition accuracy than the traditional optical capture system. Thus, it is worthy of further research and discussion.

Analysis and synthesis of function data of human movement

Hainan Vocational University of Science and Technology

Department of Computer Science, Faculty of Computing and Information Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Analysis and synthesis of function data of human movement"}

The article proposes a human motion capture method based on operational data. The thesis first uses the human body wear system to perform functional processing...

Analysis and synthesis of function data of human movement

Online veröffentlicht: 22. Nov. 2021

Seitenbereich: 917 - 926

Eingereicht: 17. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00086

Schlüsselwörter
periodic motion data, functional data analysis, action recognition, data analysis and synthesis, data sequence

© 2021 Yunlong Ma et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Analysis and synthesis of function data of human movement

Online veröffentlicht: 22. Nov. 2021

Seitenbereich: 917 - 926

Eingereicht: 17. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00086

Schlüsselwörterperiodic motion data, functional data analysis, action recognition, data analysis and synthesis, data sequence

© 2021 Yunlong Ma et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
periodic motion data, functional data analysis, action recognition, data analysis and synthesis, data sequence