ArticleHeliyon2019
Inertial navigation algorithm for trajectory of front-wheel walker estimation.
Article in Heliyon, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Reinforcement feedback impairs locomotor adaptation and retention.Frontiers in behavioral neuroscience · 2024Article
- Determination of trajectories using IKZ/CF inertial navigation: Methodological proposal.Heliyon · 2023Article
- Fast calibration for parameters of an inertial measurement unit fixed to a standard walker.Heliyon · 2020Article
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Authors and funding
2 authors.
Funding
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Abstract
In this paper, we propose a system for trajectory of walker estimation. The system consists of an inertial measurement unit (IMU) and two encoders attached to a front-wheel walker. The IMU is employed to estimate the trajectory of the walker while the encoders are used to update the trajectory of the walker during rolling on the floor. Three update equations are proposed: quaternion update using the vertical vector, quaternion update using the yaw angle of the walker and position update using encoders. We implemented an experiment which focused on four walking styles of: continuous rolling, step by step rolling, complete lifting and 2 back tips lifting. Results of the experiment show the appropriateness of proposed update equations in all cases in general and in continuous rolling in particular.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.