loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Christoph Kalkbrenner ; Steffen Hacker ; Maria-Elena Algorri and Ronald Blechschmidt-Trapp

Affiliation: University of Applied Science Ulm, Germany

Keyword(s): Motion Analysis, Inertial Measurement Unit, IMU, Motion Tracking, Kinect, Data Fusion, Kalman Filter.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Instruments and Devices ; Biomedical Sensors

Abstract: This paper presents an approach for the tracking of limb movements using orientation information acquired from Inertial Measurement Units (IMUs) and optical information from a Kinect sensor. A new algorithm that uses a Kalman filter to fuse the Kinect and IMU data is presented. By fusing optical and orientation information we are able to track the movement of limb joints precisely, and almost drift-free. First, the IMU data is processed using the gradient descent algorithm proposed in (Madgwick et al., 2011) which calculates the orientation information of the IMU using acceleration and velocity data. Measurements made with IMUs tend to drift over time, so in a second stage we compensate for the drift using absolute position information obtained from a Microsoft Kinect sensor. The fusion of sensor data also allows to compensate for faulty or missing measurements. We have carried out some initial experiments on arm tracking. The first results show that our technique for data fusion has the potential to be used to record common medical exercises for clinical movement analysis. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.232.187.47

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kalkbrenner, C.; Hacker, S.; Algorri, M. and Blechschmidt-Trapp, R. (2014). Motion Capturing with Inertial Measurement Units and Kinect - Tracking of Limb Movement using Optical and Orientation Information. In Proceedings of the International Conference on Biomedical Electronics and Devices (BIOSTEC 2014) - BIODEVICES; ISBN 978-989-758-013-0; ISSN 2184-4305, SciTePress, pages 120-126. DOI: 10.5220/0004787601200126

@conference{biodevices14,
author={Christoph Kalkbrenner. and Steffen Hacker. and Maria{-}Elena Algorri. and Ronald Blechschmidt{-}Trapp.},
title={Motion Capturing with Inertial Measurement Units and Kinect - Tracking of Limb Movement using Optical and Orientation Information},
booktitle={Proceedings of the International Conference on Biomedical Electronics and Devices (BIOSTEC 2014) - BIODEVICES},
year={2014},
pages={120-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004787601200126},
isbn={978-989-758-013-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Biomedical Electronics and Devices (BIOSTEC 2014) - BIODEVICES
TI - Motion Capturing with Inertial Measurement Units and Kinect - Tracking of Limb Movement using Optical and Orientation Information
SN - 978-989-758-013-0
IS - 2184-4305
AU - Kalkbrenner, C.
AU - Hacker, S.
AU - Algorri, M.
AU - Blechschmidt-Trapp, R.
PY - 2014
SP - 120
EP - 126
DO - 10.5220/0004787601200126
PB - SciTePress