| Autor: |
Zhao Rongyong, Wang Yan, Han Chuanfeng, Jia Ping, Li Cuiling, Zhu Wenjie |
| Jazyk: |
English<br />French |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
MATEC Web of Conferences, Vol 355, p 03016 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2261-236X |
| DOI: |
10.1051/matecconf/202235503016 |
| Popis: |
In recent years, with the rapid development of computer vision technology, image-based human body research has become an important task, such as pedestrian target detection, trajectory tracking, posture estimation and behaviour recognition. The centre of mass is one of the important characteristics that can reflect the phenomenon of pedestrian movement. This paper first introduces the biped robot model in robotics, starting from forward and inverse kinematics, to find the mapping relationship between the position of each joint and the pose of the end effector. Then, corresponding to the skeleton model of the human joint points, the characteristics of the bone posture and joint angle are determined. The moment of inertia factor is introduced, and the motion superposition of different joint points is considered to establish a pedestrian motion centroid model. By calculating the equivalent dynamic centroid, the pedestrian kinematics law can be explored and the pedestrian movement mechanism can be more deeply recognized. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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