Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Mathias Musahl"'
1
Akademický článek
Simultaneous End User Calibration of Multiple Magnetic Inertial Measurement Units With Associated Uncertainty
Autor: Hammad Tanveer Butt, Mathias Musahl, Maria A. Sanchez, Pramod Murthy, Kumar Ankit, Didier Stricker
Publikováno v: IEEE Access, Vol 9, Pp 26468-26483 (2021)
A fast method to simultaneously calibrate multiple MEMS Magnetic Inertial Measurement Units (MIMUs) accurately in the field is needed in many application areas. The MEMS MIMUs require calibration of systematic errors of bias, sensitivity, non-orthogo
Externí odkaz: https://doaj.org/article/42c62cac54ff44fc9dc3c8c30968f9c2
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2
Akademický článek
Magnetometer Robust Deep Human Pose Regression With Uncertainty Prediction Using Sparse Body Worn Magnetic Inertial Measurement Units
Autor: Hammad Tanveer Butt, Bertram Taetz, Mathias Musahl, Maria A. Sanchez, Pramod Murthy, Didier Stricker
Publikováno v: IEEE Access, Vol 9, Pp 36657-36673 (2021)
We propose a deep learning based framework that learns data-driven temporal priors to perform 3D human pose estimation from six body worn Magnetic Inertial Measurement units sensors. Our work estimates 3D human pose with associated uncertainty from s
Externí odkaz: https://doaj.org/article/1b0d1b459b5348b285c9571cb078c77c
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3
Simultaneous End User Calibration of Multiple Magnetic Inertial Measurement Units With Associated Uncertainty
Autor: Kumar Ankit, Maria Alejandra Sanchez, Didier Stricker, Hammad Tanveer Butt, Mathias Musahl, Pramod Murthy
Publikováno v: IEEE Access, Vol 9, Pp 26468-26483 (2021)
IEEE Access
A fast method to simultaneously calibrate multiple MEMS Magnetic Inertial Measurement Units (MIMUs) accurately in the field is needed in many application areas. The MEMS MIMUs require calibration of systematic errors of bias, sensitivity, non-orthogo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::647e456aeca53849ce35fa92e9551105
https://doi.org/10.1109/access.2021.3057579
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4
Magnetometer Robust Deep Human Pose Regression With Uncertainty Prediction Using Sparse Body Worn Magnetic Inertial Measurement Units
Autor: Mathias Musahl, Bertram Taetz, Hammad Tanveer Butt, Didier Stricker, Pramod Murthy, Maria Alejandra Sanchez
Publikováno v: IEEE Access, Vol 9, Pp 36657-36673 (2021)
We propose a deep learning based framework that learns data-driven temporal priors to perform 3D human pose estimation from six body worn Magnetic Inertial Measurement units sensors. Our work estimates 3D human pose with associated uncertainty from s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9b92d7fb97056f030aaa66a51cc13d9
https://doi.org/10.1109/access.2021.3062545
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6
Incorporating privacy by design in body sensor networks for medical applications: A privacy and data protection framework
Autor: Christos Kalloniatis, Athanasios G. Kanatas, Mathias Musahl, Costas Lambrinoudakis, Stefanos Gritzalis
Publikováno v: Computer Science and Information Systems
Privacy and Data protection are highly complex issues within eHealth/M-Health systems. These systems should meet specific requirements deriving from the organizations and users, as well as from the variety of legal obligations deriving from GDPR that
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1937711e09ebd1fcbf0f8fd1fc58cd4e
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7
Development of High Rate Wearable MIMU Tracking System Robust to Magnetic Disturbances and Body Acceleration
Autor: Hammad Tanveer Butt, Manthan Pancholi, Mathias Musahl, Maria Alejandra Sanchez, Didier Stricker
In this paper we present a wearable high rate MIMU (magnetic-inertial measurement unit) based body tracking system. It is designed using low cost state-of-the-art hardware and MEMS sensors to reduce errors and improve computational latency. Our syste
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2659::74beefc8336b7c2c37ecc089e51e67f5
https://zenodo.org/record/4288714
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8
Inertial Motion Capture Using Adaptive Sensor Fusion and Joint Angle Drift Correction
Autor: Hammad Tanveer Butt, Manthan Pancholi, Mathias Musahl, Pramod Murthy, Maria Alejandra Sanchez
The ambulatory motion capture and gait analysis using wearable MEMS based magnetic-inertial measurement units (MIMUs) is challenging despite multi-sensor fusion and effective anatomical (sensor-to-segment) calibration. The MEMS based sensors show deg
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36f658285fd767b4090cc4924ee97a5a
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9
Development of High Rate Wearable MIMU Tracking System Robust to Magnetic Disturbances and Body Acceleration
Autor: Hammad Tanveer Butt, Manthan Pancholi, Didier Stricker, Maria Alejandra Sanchez, Mathias Musahl
Publikováno v: Advances in Intelligent Systems and Computing
Advances in Intelligent Systems and Computing-Intelligent Systems and Applications
Intelligent Systems and Applications-Proceedings of the 2019 Intelligent Systems Conference (IntelliSys) Volume 1
Advances in Intelligent Systems and Computing ISBN: 9783030295158
IntelliSys (1)
In this paper we present a wearable high rate MIMU (magnetic-inertial measurement unit) based body tracking system. It is designed using low cost state-of-the-art hardware and MEMS sensors to reduce errors and improve computational latency. Our syste
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5681a2770a0fc8ca28b19cc41b87014e
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