Literature DB >> 23366937

A wireless trigger for synchronization of wearable sensors to external systems during recording of human gait.

Patrick Kugler1, Heiko Schlarb, Joerg Blinn, Antoni Picard, Bjoern Eskofier.   

Abstract

Mobile gait analysis focuses on the automatic extraction of gait parameters from wearable sensor data. However, development of algorithms for this task requires kinematic data with accurate and highly synchronous ground truth. In this paper we present a wireless trigger system which allows reliable synchronization of wearable sensors to external systems providing ground truth. To demonstrate the applicability of the system for mobile gait analysis, a Shimmer wireless sensor node with inertial sensors was mounted at the heel of a running shoe and synchronized with an external VICON motion capturing system using the wireless trigger system. Inertial sensor data were recorded during walking and running with the shoe, while kinematic and kinetic ground truth was acquired from the synchronized VICON system. Evaluation of delay and jitter of the system showed a mean delay of 2 ms and low jitter of 20 us. Recording was highly synchronous and the collected kinematics had a correlation of up to 0.99. In the future the proposed system will allow the creation of a database of inertial data from human gait with accurate ground truth synchronization.

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Year:  2012        PMID: 23366937     DOI: 10.1109/EMBC.2012.6346976

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Methodological aspects of EEG and body dynamics measurements during motion.

Authors:  Pedro M R Reis; Felix Hebenstreit; Florian Gabsteiger; Vinzenz von Tscharner; Matthias Lochmann
Journal:  Front Hum Neurosci       Date:  2014-03-24       Impact factor: 3.169

2.  Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis.

Authors:  Julius Hannink; Malte Ollenschläger; Felix Kluge; Nils Roth; Jochen Klucken; Bjoern M Eskofier
Journal:  Sensors (Basel)       Date:  2017-08-23       Impact factor: 3.576

3.  Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units.

Authors:  Markus Zrenner; Stefan Gradl; Ulf Jensen; Martin Ullrich; Bjoern M Eskofier
Journal:  Sensors (Basel)       Date:  2018-11-30       Impact factor: 3.576

4.  Does the Position of Foot-Mounted IMU Sensors Influence the Accuracy of Spatio-Temporal Parameters in Endurance Running?

Authors:  Markus Zrenner; Arne Küderle; Nils Roth; Ulf Jensen; Burkhard Dümler; Bjoern M Eskofier
Journal:  Sensors (Basel)       Date:  2020-10-07       Impact factor: 3.576

  4 in total

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