Recovering Walking Trajectories from Local Measurements and Inertia Data
Joint Authors
Zhu, Lifeng
Xu, Chenghao
Shi, Ke
Li, Wei
Song, Aiguo
Tang, Xinhua
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-06
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Capturing walking trajectories is useful for motion planning and various location-based services.
Traditionally, it is a challenging task because it is expensive to install infrastructures, especially in an outdoor setting.
As another choice, the reconstructed walking trajectories suffer from the drifting problem from captured inertia data.
In this work, we study the biped walking motion and propose a method to recover walking trajectories by introducing local measurements between the feet to the system, in combination with the orientation from inertia data.
We design a few local measurements which can be passively captured.
After analyzing these measurements, the walking trajectory is progressively recovered by solving a set of small-scale optimization problems.
By comparing with the trajectories extracted from optical motion capture systems, we tested our method on different subjects, and the quality of the recovered walking trajectory is evaluated.
American Psychological Association (APA)
Zhu, Lifeng& Xu, Chenghao& Shi, Ke& Li, Wei& Song, Aiguo& Tang, Xinhua. 2020. Recovering Walking Trajectories from Local Measurements and Inertia Data. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1201625
Modern Language Association (MLA)
Zhu, Lifeng…[et al.]. Recovering Walking Trajectories from Local Measurements and Inertia Data. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1201625
American Medical Association (AMA)
Zhu, Lifeng& Xu, Chenghao& Shi, Ke& Li, Wei& Song, Aiguo& Tang, Xinhua. Recovering Walking Trajectories from Local Measurements and Inertia Data. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1201625
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201625