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Prof. Dr. Didier Stricker

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Dr. Gerd Reis

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Keonna Cunningham

Dr. Oliver Wasenmüller

Dr. Gabriele Bleser
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Dr. Jason Raphael Rambach

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Fangwen Shu

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Sophie Folawiyo

David Michael Fürst
Kamalveerkaur Garewal

Christiano Couto Gava
Leif Eric Goebel

Tewodros Amberbir Habtegebrial
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Khurram Hashmi

Jigyasa Singh Katrolia

Andreas Kölsch
Onorina Kovalenko

Stephan Krauß
Paul Lesur

Muhammad Jameel Nawaz Malik
Michael Lorenz
Markus Miezal

Mina Ameli

Nareg Minaskan Karabid
Mohammad Minouei

Pramod Murthy

Mathias Musahl

Peter Neigel

Manthan Pancholi
Qinzhuan Qian

Engr. Kumail Raza
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María Alejandra Sánchez Marín
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Alexander Schäfer
Pascal Schneider

René Schuster

Mohamed Selim
Lukas Stefan Staecker

Dennis Stumpf

Yongzhi Su

Xiaoying Tan
Yaxu Xie

Dr. Vladislav Golyanik

Dr. Aditya Tewari

André Luiz Brandão
Body-IMU autocalibration for inertial hip and knee joint tracking
Body-IMU autocalibration for inertial hip and knee joint tracking
Sarvenaz Salehi Mourkani, Gabriele Bleser, Attila Reiss, Didier Stricker
International Conference on Body Area Networks (Bodynets-2015), September 28-30, Sydney, NSW, Australia
- Abstract:
- Sensor to body calibration is a key requirement for capturing accurate body movements in applications based on wearable systems. In this paper, we consider the specific problem of estimating the positions of multiple inertial measurement units (IMUs) relative to the adjacent body joints. To derive an efficient, robust and precise method based on a practical procedure is a crucial as well as challenging task when developing a wearable system with multiple embedded IMUs. In this work, first, we perform a theoretical analysis of an existing position calibration method, showing its limited applicability for the hip and knee joint. Based on this, we propose a method for simultaneously estimating the positions of three IMUs (mounted on pelvis, upper leg, lower leg) relative to these joints.The latter are here considered as an ensemble. Finally, we perform an experimental evaluation based on simulated and real data, showing the improvements of our calibration method as well as lines of future work.
- Keywords:
- Body-sensor autocalibration, wearable system, IMU, joint axes