output
20162018
most citedUsing Inertial Sensors for Position and Orientation Estimation

346 citations

5 papers

cs.RO2018★ 2 cited

Drift-Free Indoor Navigation Using Simultaneous Localization and Mapping of the Ambient Heterogeneous Magnetic Field

Jacky C. K. Chow

In the absence of external reference position information (e.g. GNSS) SLAM has proven to be an effective method for indoor navigation. The positioning drift can be reduced with reg…

eess.SP2018★ 6 cited

Statistical Sensor Fusion of a 9-DoF MEMS IMU for Indoor Navigation

Jacky C. K. Chow

Sensor fusion of a MEMS IMU with a magnetometer is a popular system design, because such 9-DoF (degrees of freedom) systems are capable of achieving drift-free 3D orientation track…

physics.med-ph2018★ 30 cited

Predicting kinetics using musculoskeletal modeling and inertial motion capture

Angelos Karatsidis, Moonki Jung, H. Martin Schepers +4

Inverse dynamic analysis using musculoskeletal modeling is a powerful tool, which is utilized in a range of applications to estimate forces in ligaments, muscles, and joints, non-i…

cs.RO2017★ 346 cited

Using Inertial Sensors for Position and Orientation Estimation

Manon Kok, Jeroen D. Hol, Thomas B. Schön

In recent years, MEMS inertial sensors (3D accelerometers and 3D gyroscopes) have become widely available due to their small size and low cost. Inertial sensor measurements are obt…

eess.SY2016★ 6 cited

A Scalable and Distributed Solution to the Inertial Motion Capture Problem

Manon Kok, Sina Khoshfetrat Pakazad, Thomas B. Schön +2

In inertial motion capture, a multitude of body segments are equipped with inertial sensors, consisting of 3D accelerometers and 3D gyroscopes. Using an optimization-based approach…