Assessing the Performance of Sensor Fusion Methods: Application to Magnetic-Inertial-Based Human Body Tracking

Author： Ligorio Gabriele   Bergamini Elena   Pasciuto Ilaria   Vannozzi Giuseppe   Cappozzo Aurelio   Sabatini Angelo Maria  

Publisher： MDPI

E-ISSN： 1424-8220|16|2|153-153

ISSN： 1424-8220

Source： Sensors, Vol.16, Iss.2, 2016-01, pp. : 153-153

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Human Body Parts Tracking and Kinematic Features Assessment Based on RSSI and Inertial Sensor Measurements

By Blumrosen Gaddi   Luttwak Ami  

Sensors, Vol. 13, Iss. 9, 2013-08 ,pp. : 11289-11313

MDPI

Access to resources Recommend Favorite

A Sensor Fusion Method for Tracking Vertical Velocity and Height Based on Inertial and Barometric Altimeter Measurements

By Sabatini Angelo Maria   Genovese Vincenzo  

Sensors, Vol. 14, Iss. 8, 2014-07 ,pp. : 13324-13347

MDPI

Access to resources Recommend Favorite

Sensor Saturation Compensated Smoothing Algorithm for Inertial Sensor Based Motion Tracking

By Dang Quoc Khanh   Suh Young Soo  

Sensors, Vol. 14, Iss. 5, 2014-05 ,pp. : 8167-8188

MDPI

Access to resources Recommend Favorite

Inertial Sensor-Based Two Feet Motion Tracking for Gait Analysis

By Hung Tran Nhat   Suh Young Soo  

Sensors, Vol. 13, Iss. 5, 2013-04 ,pp. : 5614-5629

MDPI

Access to resources Recommend Favorite

Extended Kalman Filter-Based Methods for Pose Estimation Using Visual, Inertial and Magnetic Sensors: Comparative Analysis and Performance Evaluation

By Ligorio Gabriele   Sabatini Angelo Maria  

Sensors, Vol. 13, Iss. 2, 2013-02 ,pp. : 1919-1941

MDPI

Access to resources Recommend Favorite