Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
×
This paper presents a localization algorithm, which can accurately estimate the position, velocity and attitude of human foot motion based on IMU measurements.
Abstract—Human foot motion localization using inertial mea- surement unit (IMU) is a challenging problem due to IMU's drift and noise.
A localization algorithm, which can accurately estimate the position, velocity and attitude of human foot motion based on IMU measurements is presented, ...
In order to avoid this drift, knowledge about the expected motion can be used. The algorithm shown in [NL16] is based on human gaits to reset the drift to ...
People also ask
Abstract—Human foot motion localization based on Inertial. Measurement Unit (IMU) sensor especially in large environ- ments is a challenging and interesting ...
Aug 3, 2016 · Abstract: One challenging problem for human-machine systems is to accurately estimate the position, velocity, and attitude of human foot ...
As a recent relevant example, the work of Van Nguyen et al. [39] focuses on an IMU sensor for an accurate estimation of foot position, velocity and attitude.
About this article ; Publication Date: 2016-07-01 ; Language: English ; DOI: 10.1109/ACC.2016.7525611 ; Database: IEEE Xplore Digital Library ; Journal: 2016 ...
Aug 24, 2022 · This paper proposes a human gait tracking system using a dual foot-mounted IMU and multiple 2D LiDARs. The combining system aims to overcome ...
Mar 29, 2022 · In this paper, a simultaneous localization and mapping (SLAM) algorithm for tracking the motion of a pedestrian with a foot-mounted inertial ...