On fractional models for human motion tracking

Autor: Lasse Klingbeil, Martin Traechtler, Michailas Romanovas, Yiannos Manoli

Publikováno v: Journal of Vibration and Control. 20:986-997

In this work we present the construction and evaluation of recursive Bayesian estimation algorithms for human motion tracking using fractional order models. The presented schemes include both fixed fractional order as well as variable order models wi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2172f8d2cd891525246c750131580ade
https://doi.org/10.1177/1077546313479637

Implicit Fractional Model Order Estimation Using Interacting Multiple Model Kalman Filters

Autor: Michailas Romanovas, Ahmed Al-Jawad, Lasse Klingbeil, Martin Traechtler, Yiannos Manoli

Publikováno v: IFAC Proceedings Volumes. 44:7767-7772

The paper deals with implicit and explicit approaches for fractional nonlinear model order estimation using a benchmark model relating applied angular rate and neuron's firing intensity within the vestibular system. The implicit approach is based on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4c741ca8227c3f00aa17ccb542e33415
https://doi.org/10.3182/20110828-6-it-1002.02918

Stochastic Cloning Unscented Kalman filtering for pedestrian localization applications

Autor: Martin Traechtler, Manuel Schwaab, Michailas Romanovas, Yiannos Manoli, Tobias Schwarze, Sara Fazel Amirhosseini

Publikováno v: IPIN

The work discusses the performance of a Stochastic Cloning Unscented Kalman filter (SC-UKF) which is used to fuse the incremental position and orientation information from the Visual Odometry (VO) using a stereo camera setup and the absolute attitude

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ddbb21e458f3d1f96a359afb1b4de609
https://doi.org/10.1109/ipin.2013.6817893

A study on indoor pedestrian localization algorithms with foot-mounted sensors

Autor: Vadim Goridko, Ahmed Al-Jawad, Manuel Schwaab, Yiannos Manoli, Lasse Klingbeil, Martin Traechtler, Michailas Romanovas

Publikováno v: IPIN

The work presents a foot-mounted sensor system for a combined indoor/outdoor pedestrian localization. The approach is based on a zero-velocity update scheme formulated as an Extended or Unscented Kalman filter with quaternion orientation representati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f46a0d01bc8ca0b1bc9ba33094405753
https://doi.org/10.1109/ipin.2012.6418886

Using multi-dimensional dynamic time warping for TUG test instrumentation with inertial sensors

Autor: Martin Traechtler, Ahmed Al-Jawad, Miguel Reyes Adame, Yiannos Manoli, Knut Moeller, Michailas Romanovas, Walter Maetzler, Markus A. Hobert

Publikováno v: MFI
IEEE 212-218 (2012). doi:10.1109/MFI.2012.6343011
2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) : [Proceedings]-IEEE, 2012.-ISBN 978-1-4673-2512-7978-1-4673-2510-3978-1-4673-2511-0-doi:10.1109/MFI.2012.6343011
2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) : [Proceedings]-IEEE, 2012.-ISBN 978-1-4673-2512-7978-1-4673-2510-3978-1-4673-2511-0-doi:10.1109/MFI.2012.63430112012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2012), Hamburg, Germany, 2012-09-13-2012-09-15

The Timed Up and Go (TUG) is a clinical test used widely to measure balance and mobility, e.g. in Parkinson's disease (PD). The test includes a sequence of functional activities, namely: sit-to-stand, 3-meters walk, 180° turn, walk back, another tur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a07124a55f8a5795f5f71d9ec16c08c
https://doi.org/10.1109/mfi.2012.6343011