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Markus Miezal

Showing results (1-10 of 10) with videos related to

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Sensors (Basel, Switzerland)|July 26, 2016
On Inertial Body Tracking in the Presence of Model Calibration ErrorsMarkus Miezal, Bertram Taetz, Gabriele Bleser
Plos One|March 1, 2019
Validity of inertial sensor based 3D joint kinematics of static and dynamic sport and physiotherapy specific movementsWolfgang Teufl, Markus Miezal, Bertram Taetz, et al.
Sensors (Basel, Switzerland)|June 24, 2018
Validity, Test-Retest Reliability and Long-Term Stability of Magnetometer Free Inertial Sensor Based 3D Joint KinematicsWolfgang Teufl, Markus Miezal, Bertram Taetz, et al.
Sensors (Basel, Switzerland)|December 26, 2018
Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal ParametersWolfgang Teufl, Michael Lorenz, Markus Miezal, et al.
Open Research Europe|July 2, 2024
JointTracker: Real-time inertial kinematic chain tracking with joint position estimationBertram Taetz, Michael Lorenz, Markus Miezal, et al.
Applied Ergonomics|December 25, 2012
Innovative system for real-time ergonomic feedback in industrial manufacturingNicolas Vignais, Markus Miezal, Gabriele Bleser, et al.
Sensors (Basel, Switzerland)|June 8, 2017
Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human MotionAlessandro Filippeschi, Norbert Schmitz, Markus Miezal, et al.
Clinical Biomechanics (Bristol, Avon)|September 4, 2021
Automated detection and explainability of pathological gait patterns using a one-class support vector machine trained on inertial measurement unit based gait dataWolfgang Teufl, Bertram Taetz, Markus Miezal, et al.
Sensors (Basel, Switzerland)|November 21, 2019
Towards an Inertial Sensor-Based Wearable Feedback System for Patients after Total Hip Arthroplasty: Validity and Applicability for Gait Classification with Gait Kinematics-Based FeaturesWolfgang Teufl, Bertram Taetz, Markus Miezal, et al.
Plos One|July 1, 2015
Cognitive Learning, Monitoring and Assistance of Industrial Workflows Using Egocentric Sensor NetworksGabriele Bleser, Dima Damen, Ardhendu Behera, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|July 26, 2016
On Inertial Body Tracking in the Presence of Model Calibration ErrorsMarkus Miezal, Bertram Taetz, Gabriele Bleser
Plos One|March 1, 2019
Validity of inertial sensor based 3D joint kinematics of static and dynamic sport and physiotherapy specific movementsWolfgang Teufl, Markus Miezal, Bertram Taetz, et al.
Sensors (Basel, Switzerland)|June 24, 2018
Validity, Test-Retest Reliability and Long-Term Stability of Magnetometer Free Inertial Sensor Based 3D Joint KinematicsWolfgang Teufl, Markus Miezal, Bertram Taetz, et al.
Sensors (Basel, Switzerland)|December 26, 2018
Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal ParametersWolfgang Teufl, Michael Lorenz, Markus Miezal, et al.
Open Research Europe|July 2, 2024
JointTracker: Real-time inertial kinematic chain tracking with joint position estimationBertram Taetz, Michael Lorenz, Markus Miezal, et al.
Applied Ergonomics|December 25, 2012
Innovative system for real-time ergonomic feedback in industrial manufacturingNicolas Vignais, Markus Miezal, Gabriele Bleser, et al.
Sensors (Basel, Switzerland)|June 8, 2017
Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human MotionAlessandro Filippeschi, Norbert Schmitz, Markus Miezal, et al.
Clinical Biomechanics (Bristol, Avon)|September 4, 2021
Automated detection and explainability of pathological gait patterns using a one-class support vector machine trained on inertial measurement unit based gait dataWolfgang Teufl, Bertram Taetz, Markus Miezal, et al.
Sensors (Basel, Switzerland)|November 21, 2019
Towards an Inertial Sensor-Based Wearable Feedback System for Patients after Total Hip Arthroplasty: Validity and Applicability for Gait Classification with Gait Kinematics-Based FeaturesWolfgang Teufl, Bertram Taetz, Markus Miezal, et al.
Plos One|July 1, 2015
Cognitive Learning, Monitoring and Assistance of Industrial Workflows Using Egocentric Sensor NetworksGabriele Bleser, Dima Damen, Ardhendu Behera, et al.
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