74 entries « ‹ 2 of 3 › »

2017

Bernard, Jürgen; Dobermann, Eduard; Vögele, Anna; Krüger, Björn; Kohlhammer, Jörn; Fellner, D.

Visual-Interactive Semi-Supervised Labeling of Human Motion Capture Data Proceedings Article

In: Visualization and Data Analysis (VDA 2017), 2017.

Abstract | BibTeX

@inproceedings{bernard2017a,

title = {Visual-Interactive Semi-Supervised Labeling of Human Motion Capture Data},

author = {Jürgen Bernard and Eduard Dobermann and Anna Vögele and Björn Krüger and Jörn Kohlhammer and D. Fellner},

year  = {2017},

date = {2017-01-01},

urldate = {2017-01-01},

booktitle = {Visualization and Data Analysis (VDA 2017)},

abstract = {The characterization and abstraction of large multivariate time series data often poses challenges with respect to effectiveness or efficiency. Using the example of human motion capture data challenges exist in creating compact solutions that still reflect semantics and kinematics in a meaningful way. We present a visual-interactive approach for the semi-supervised labeling of human motion capture data. Users are enabled to assign labels to the data which can subsequently be used to represent the multivariate time series as sequences of motion classes. The approach combines multiple views supporting the user in the visual-interactive labeling process. Visual guidance concepts further ease the labeling process by propagating the results of algorithmic models. The abstraction of motion capture data to sequences of event intervals allows overview and detail-on-demand visualizations even for large and heterogeneous data collections. The guided selection of candidate data for the extension and improvement of the labeling closes the feedback loop of the semisupervised workflow. We demonstrate the effectiveness and the efficiency of the approach in two usage scenarios, taking visual-interactive learning and human motion synthesis as examples.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

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The characterization and abstraction of large multivariate time series data often poses challenges with respect to effectiveness or efficiency. Using the example of human motion capture data challenges exist in creating compact solutions that still reflect semantics and kinematics in a meaningful way. We present a visual-interactive approach for the semi-supervised labeling of human motion capture data. Users are enabled to assign labels to the data which can subsequently be used to represent the multivariate time series as sequences of motion classes. The approach combines multiple views supporting the user in the visual-interactive labeling process. Visual guidance concepts further ease the labeling process by propagating the results of algorithmic models. The abstraction of motion capture data to sequences of event intervals allows overview and detail-on-demand visualizations even for large and heterogeneous data collections. The guided selection of candidate data for the extension and improvement of the labeling closes the feedback loop of the semisupervised workflow. We demonstrate the effectiveness and the efficiency of the approach in two usage scenarios, taking visual-interactive learning and human motion synthesis as examples.

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Krüger, Björn; Vögele, Anna; Willig, Tobias; Yao, Angela; Klein, Reinhard; Weber, Andreas

Efficient Unsupervised Temporal Segmentation of Motion Data Journal Article

In: IEEE Transactions on Multimedia, vol. 19, no. 4, pp. 797–812, 2017, ISSN: 1520-9210.

Abstract | Links | BibTeX

@article{krueger2017Segmentation,

title = {Efficient Unsupervised Temporal Segmentation of Motion Data},

author = {Björn Krüger and Anna Vögele and Tobias Willig and Angela Yao and Reinhard Klein and Andreas Weber},

url = {https://digital-health-bonn.de/wp-content/uploads/2024/03/MotionSegmentationCode.zip, Source Code

},

doi = {10.1109/TMM.2016.2635030},

issn = {1520-9210},

year  = {2017},

date = {2017-01-01},

urldate = {2017-01-01},

journal = {IEEE Transactions on Multimedia},

volume = {19},

number = {4},

pages = {797–812},

abstract = {We introduce a method for automated temporal segmentation of human motion data into distinct actions and compositing motion primitives based on self-similar structures in the motion sequence. We use neighborhood graphs for the partitioning and the similarity information in the graph is further exploited to cluster the motion primitives into larger entities of semantic significance. The method requires no assumptions about the motion sequences at hand and no user interaction is required for the segmentation or clustering. In addition, we introduce a feature bundling preprocessing technique to make the segmentation more robust to noise, as well as a notion of motion symmetry for more refined primitive detection. We test our method on several sensor modalities, including markered and markerless motion capture as well as on electromyograph and accelerometer recordings. The results highlight our system’s capabilities for both segmentation and for analysis of the finer structures of motion data, all in a completely unsupervised manner.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

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We introduce a method for automated temporal segmentation of human motion data into distinct actions and compositing motion primitives based on self-similar structures in the motion sequence. We use neighborhood graphs for the partitioning and the similarity information in the graph is further exploited to cluster the motion primitives into larger entities of semantic significance. The method requires no assumptions about the motion sequences at hand and no user interaction is required for the segmentation or clustering. In addition, we introduce a feature bundling preprocessing technique to make the segmentation more robust to noise, as well as a notion of motion symmetry for more refined primitive detection. We test our method on several sensor modalities, including markered and markerless motion capture as well as on electromyograph and accelerometer recordings. The results highlight our system’s capabilities for both segmentation and for analysis of the finer structures of motion data, all in a completely unsupervised manner.

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• Source Code
• doi:10.1109/TMM.2016.2635030

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2016

Dreiner, Herbi; Becker, Max; Borzyszkowski, Mikolaj; Braun, Maxim; Faßbender, Alexander; Hampel, Julia; Hansen, Maike; Hebecker, Dustin; Heepenstrick, Timo; Heinz, Sascha; Hortmanns, Katharina; Jost, Christian; Kortmann, Michael; Kruckow, Matthias; Leuteritz, Till; Lütz, Claudia; Mahlberg, Philip; Müllers, Johannes; Opferkuch, Toby; Wagner-Carena, Sebastian

"What's (the) Matter?", A Show on Elementary Particle Physics with 28 Demonstration Experiments Working paper

2016.

Abstract | Links | BibTeX

@workingpaper{article,

title = {"What's (the) Matter?", A Show on Elementary Particle Physics with 28 Demonstration Experiments},

author = {Herbi Dreiner and Max Becker and Mikolaj Borzyszkowski and Maxim Braun and Alexander Faßbender and Julia Hampel and Maike Hansen and Dustin Hebecker and Timo Heepenstrick and Sascha Heinz and Katharina Hortmanns and Christian Jost and Michael Kortmann and Matthias Kruckow and Till Leuteritz and Claudia Lütz and Philip Mahlberg and Johannes Müllers and Toby Opferkuch and Sebastian Wagner-Carena},

url = {https://arxiv.org/abs/1607.07478},

year  = {2016},

date = {2016-07-25},

urldate = {2016-07-25},

abstract = {We present the screenplay of a physics show on particle physics, by the Physikshow of Bonn University. The show is addressed at non-physicists aged 14+ and communicates basic concepts of elementary particle physics including the discovery of the Higgs boson in an entertaining fashion. It is also demonstrates a successful outreach activity heavily relying on the university physics students. This paper is addressed at anybody interested in particle physics and/or show physics. This paper is also addressed at fellow physicists working in outreach, maybe the experiments and our choice of simple explanations will be helpful. Furthermore, we are very interested in related activities elsewhere, in particular also demonstration experiments relevant to particle physics, as often little of this work is published.

Our show involves 28 live demonstration experiments. These are presented in an extensive appendix, including photos and technical details. The show is set up as a quest, where 2 students from Bonn with the aid of a caretaker travel back in time to understand the fundamental nature of matter. They visit Rutherford and Geiger in Manchester around 1911, who recount their famous experiment on the nucleus and show how particle detectors work. They travel forward in time to meet Lawrence at Berkeley around 1950, teaching them about the how and why of accelerators. Next, they visit Wu at DESY, Hamburg, around 1980, who explains the strong force. They end up in the LHC tunnel at CERN, Geneva, Switzerland in 2012. Two experimentalists tell them about colliders and our heroes watch live as the Higgs boson is produced and decays. The show was presented in English at Oxford University and University College London, as well as Padua University and ICTP Trieste. It was 1st performed in German at the Deutsche Museum, Bonn (5/'14). The show has eleven speaking parts and involves in total 20 people. },

keywords = {},

pubstate = {published},

tppubtype = {workingpaper}

}

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We present the screenplay of a physics show on particle physics, by the Physikshow of Bonn University. The show is addressed at non-physicists aged 14+ and communicates basic concepts of elementary particle physics including the discovery of the Higgs boson in an entertaining fashion. It is also demonstrates a successful outreach activity heavily relying on the university physics students. This paper is addressed at anybody interested in particle physics and/or show physics. This paper is also addressed at fellow physicists working in outreach, maybe the experiments and our choice of simple explanations will be helpful. Furthermore, we are very interested in related activities elsewhere, in particular also demonstration experiments relevant to particle physics, as often little of this work is published.
Our show involves 28 live demonstration experiments. These are presented in an extensive appendix, including photos and technical details. The show is set up as a quest, where 2 students from Bonn with the aid of a caretaker travel back in time to understand the fundamental nature of matter. They visit Rutherford and Geiger in Manchester around 1911, who recount their famous experiment on the nucleus and show how particle detectors work. They travel forward in time to meet Lawrence at Berkeley around 1950, teaching them about the how and why of accelerators. Next, they visit Wu at DESY, Hamburg, around 1980, who explains the strong force. They end up in the LHC tunnel at CERN, Geneva, Switzerland in 2012. Two experimentalists tell them about colliders and our heroes watch live as the Higgs boson is produced and decays. The show was presented in English at Oxford University and University College London, as well as Padua University and ICTP Trieste. It was 1st performed in German at the Deutsche Museum, Bonn (5/'14). The show has eleven speaking parts and involves in total 20 people.

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• https://arxiv.org/abs/1607.07478

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Riaz, Qaiser; Krüger, Björn; Weber, Andreas

Relational Databases for Motion Data Journal Article

In: International Journal of Innovative Computing and Applications, vol. 7, no. 3, pp. 119–134, 2016.

Links | BibTeX

@article{riaz-2016a,

title = {Relational Databases for Motion Data},

author = {Qaiser Riaz and Björn Krüger and Andreas Weber},

url = {http://www.inderscience.com/info/inarticle.php?artid=78723},

doi = {http://dx.doi.org/10.1504/IJICA.2016.078723},

year  = {2016},

date = {2016-01-01},

journal = {International Journal of Innovative Computing and Applications},

volume = {7},

number = {3},

pages = {119–134},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

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• http://www.inderscience.com/info/inarticle.php?artid=78723
• doi:http://dx.doi.org/10.1504/IJICA.2016.078723

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Mezzarobba, Susanna; Grassi, Michele; Catalan, Mauro; Pellegrini, Lorella; Valentini, Roberto; Krüger, Björn; Bernardis, Paolo

Therapeutic protocol for Parkinson’s patient with freezing based on action observation plus sonification: preliminary results Proceedings Article

In: 20th International congress of Parkinson's Disease and Movement Disorders, Berlin, Germany, 2016, (accepted for publication).

BibTeX

@inproceedings{Mezzarobba-2016a,

title = {Therapeutic protocol for Parkinson’s patient with freezing based on action observation plus sonification: preliminary results},

author = {Susanna Mezzarobba and Michele Grassi and Mauro Catalan and Lorella Pellegrini and Roberto Valentini and Björn Krüger and Paolo Bernardis},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

booktitle = {20th International congress of Parkinson's Disease and Movement Disorders},

address = {Berlin, Germany},

note = {accepted for publication},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

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Yasin, Hashim; Iqbal, Umar; Krüger, Björn; Weber, Andreas; Gall, Juergen

A Dual-Source Approach for 3D Pose Estimation from a Single Image Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition 2016 (CVPR), Las Vegas, USA, 2016.

Links | BibTeX

@inproceedings{yasin-2016,

title = {A Dual-Source Approach for 3D Pose Estimation from a Single Image},

author = {Hashim Yasin and Umar Iqbal and Björn Krüger and Andreas Weber and Juergen Gall},

url = {https://digital-health-bonn.de/wp-content/uploads/2024/03/yasin2016a.pdf, Paper},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

booktitle = {IEEE Conference on Computer Vision and Pattern Recognition 2016 (CVPR)},

address = {Las Vegas, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

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• Paper

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Effenberg, Alfred O.; Fehse, Ursula; Schmitz, Gerd; Krüger, Björn; Mechling, H.

Movement sonification: Effects on motor learning beyond rhythmic adjustments Journal Article

In: Frontiers in Neuroscience, vol. 10, no. 219, 2016.

Links | BibTeX

@article{effenberg2016,

title = {Movement sonification: Effects on motor learning beyond rhythmic adjustments},

author = {Alfred O. Effenberg and Ursula Fehse and Gerd Schmitz and Björn Krüger and H. Mechling},

url = {http://journal.frontiersin.org/article/10.3389/fnins.2016.00219/abstracthttps://digital-health-bonn.de/wp-content/uploads/2024/03/fnins-10-00219.pdf. Paper},

doi = {10.3389/fnins.2016.00219},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

journal = {Frontiers in Neuroscience},

volume = {10},

number = {219},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

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• http://journal.frontiersin.org/article/10.3389/fnins.2016.00219/abstracthttps://[...]
• doi:10.3389/fnins.2016.00219

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Stollenwerk, Katharina; Vögele, Anna; Krüger, Björn; Hinkenjann, André; Klein, Reinhard

Automatic Temporal Segmentation of Articulated Hand Motion Proceedings Article

In: Computational Science and Its Applications – ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part II, pp. 433–449, Springer International Publishing, Beijing, China, 2016, ISBN: 978-3-319-42108-7, (accepted for publication).

Links | BibTeX

@inproceedings{stollenwerk2016a,

title = {Automatic Temporal Segmentation of Articulated Hand Motion},

author = {Katharina Stollenwerk and Anna Vögele and Björn Krüger and André Hinkenjann and Reinhard Klein},

url = {http://dx.doi.org/10.1007/978-3-319-42108-7_33https://digital-health-bonn.de/wp-content/uploads/2024/03/2016_ICCSA_HandSegmentation.pdf, Paper},

doi = {10.1007/978-3-319-42108-7_33},

isbn = {978-3-319-42108-7},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

booktitle = {Computational Science and Its Applications – ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part II},

journal = {Lecture Notes in Computer Science, Computational Science and Its Applications - ICCSA 2016},

pages = {433–449},

publisher = {Springer International Publishing},

address = {Beijing, China},

note = {accepted for publication},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

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• Paper
• doi:10.1007/978-3-319-42108-7_33

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Vögele, Anna; Zsoldos, Rebeka; Krüger, Björn; Licka, Theresia

Novel Methods for Surface EMG Analysis and Exploration Based on Multi-Modal Gaussian Mixture Models Journal Article

In: PLOS ONE, 2016.

Links | BibTeX

@article{voegele2016a,

title = {Novel Methods for Surface EMG Analysis and Exploration Based on Multi-Modal Gaussian Mixture Models},

author = {Anna Vögele and Rebeka Zsoldos and Björn Krüger and Theresia Licka},

url = {https://digital-health-bonn.de/wp-content/uploads/2024/03/journal.pone_.0157239.pdf, Paper},

doi = {10.1371/journal.pone.0157239},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

journal = {PLOS ONE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

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• Paper
• doi:10.1371/journal.pone.0157239

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Vögele, Anna; Krüger, Björn

HDM12 Dance - Documentation on a Data Base of Tango Motion Capture Technical Report

University of Bonn no. CG-2016-1, 2016, (ISSN 1610-8892).

Links | BibTeX

@techreport{voegele-2016-HDM12,

title = {HDM12 Dance - Documentation on a Data Base of Tango Motion Capture},

author = {Anna Vögele and Björn Krüger},

url = {https://digital-health-bonn.de/wp-content/uploads/2024/03/HDM12_Dance_compressed.pdf, Paper},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

number = {CG-2016-1},

institution = {University of Bonn},

note = {ISSN 1610-8892},

keywords = {},

pubstate = {published},

tppubtype = {techreport}

}

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Stollenwerk, Katharina; Vögele, Anna; Sarlette, Ralf; Krüger, Björn; Hinkenjann, André; Klein, Reinhard

Evaluation of Markers for Optical Hand Motion Capture Proceedings Article

In: 13. Workshop Virtuelle Realitäi und Augmented Reality der GI-Fachgruppe VR/AR, Bielefeld, Germany, 2016.

BibTeX

@inproceedings{stollenwerk2016b,

title = {Evaluation of Markers for Optical Hand Motion Capture},

author = {Katharina Stollenwerk and Anna Vögele and Ralf Sarlette and Björn Krüger and André Hinkenjann and Reinhard Klein},

year  = {2016},

date = {2016-01-01},

booktitle = {13. Workshop Virtuelle Realitäi und Augmented Reality der GI-Fachgruppe VR/AR},

address = {Bielefeld, Germany},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

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Fehse, Ursula; Wiemeyer, J.; Effenberg, Alfred O.; Seyfarth, A; Schmitz, Gerd; Krüger, Björn

Enhancement of Technique Acquisition by Movement Sonification beyond rhythmical Adjustments Proceedings Article

In: Human Movement and Technology. 11th joint dvs- Conference on Motor Control & Learning, Biomechanics & Training, pp. 157–159, Darmstadt (Germany), 2016.

BibTeX

@inproceedings{fehse2016b,

title = {Enhancement of Technique Acquisition by Movement Sonification beyond rhythmical Adjustments},

author = {Ursula Fehse and J. Wiemeyer and Alfred O. Effenberg and A Seyfarth and Gerd Schmitz and Björn Krüger},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

booktitle = {Human Movement and Technology. 11th joint dvs- Conference on Motor Control & Learning, Biomechanics & Training},

pages = {157–159},

address = {Darmstadt (Germany)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

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2015

Wilhelm, Nils; Vögele, Anna; Zsoldos, Rebeka; Licka, Theresia; Krüger, Björn; Bernard, Jürgen

FuryExplorer: Visual-Interactive Exploration of Horse Motion Capture Data Proceedings Article

In: Visualization and Data Analysis (VDA 2015), 2015.

Links | BibTeX

@inproceedings{wilhelm2015a,

title = {FuryExplorer: Visual-Interactive Exploration of Horse Motion Capture Data},

author = {Nils Wilhelm and Anna Vögele and Rebeka Zsoldos and Theresia Licka and Björn Krüger and Jürgen Bernard},

url = {https://digital-health-bonn.de/wp-content/uploads/2024/03/wilhelm2015a.pdf, Paper},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

booktitle = {Visualization and Data Analysis (VDA 2015)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

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Riaz, Qaiser; Guanhong, Tao; Krüger, Björn; Weber, Andreas

Motion Reconstruction Using Very Few Accelerometers and Ground Contacts Journal Article

In: Graphical Models, 2015.

Links | BibTeX

@article{riaz2015a,

title = {Motion Reconstruction Using Very Few Accelerometers and Ground Contacts},

author = {Qaiser Riaz and Tao Guanhong and Björn Krüger and Andreas Weber},

doi = {http://dx.doi.org/10.1016/j.gmod.2015.04.001},

year  = {2015},

date = {2015-01-01},

journal = {Graphical Models},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

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• doi:http://dx.doi.org/10.1016/j.gmod.2015.04.001

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Zsoldos, Rebeka; Vögele, Anna; Krüger, Björn; Schröder, Ulrike; Licka, Theresia

Comparison of the Activities Measured at Three Electrode Locations on Equine Gluteus Medius Muscle in Walk and Trot Proceedings Article

In: XXV Congress of the International Society of Biomechanics (ISB 2015), Glasgow, United Kingdom, 2015, (accepted as oral presentation).

BibTeX

@inproceedings{zsoldos20015a,

title = {Comparison of the Activities Measured at Three Electrode Locations on Equine Gluteus Medius Muscle in Walk and Trot},

author = {Rebeka Zsoldos and Anna Vögele and Björn Krüger and Ulrike Schröder and Theresia Licka},

year  = {2015},

date = {2015-01-01},

booktitle = {XXV Congress of the International Society of Biomechanics (ISB 2015)},

address = {Glasgow, United Kingdom},

note = {accepted as oral presentation},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

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Hartmann, Stefan; Trunz, Elena; Krüger, Björn; Klein, Reinhard; Hullin, Matthias B.

Efficient Multi-Constrained Optimization for Example-Based Synthesis Journal Article

In: The Visual Computer / Proc. Computer Graphics International (CGI 2015), vol. 31, no. 6-8, pp. 893–904, 2015.

Links | BibTeX

@article{hartmann2015a,

title = {Efficient Multi-Constrained Optimization for Example-Based Synthesis},

author = {Stefan Hartmann and Elena Trunz and Björn Krüger and Reinhard Klein and Matthias B. Hullin},

url = {http://dx.doi.org/10.1007/s00371-015-1114-y},

doi = {10.1007/s00371-015-1114-y},

year  = {2015},

date = {2015-01-01},

journal = {The Visual Computer / Proc. Computer Graphics International (CGI 2015)},

volume = {31},

number = {6-8},

pages = {893–904},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

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• http://dx.doi.org/10.1007/s00371-015-1114-y
• doi:10.1007/s00371-015-1114-y

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Zsoldos, Rebeka; Krüger, Björn; Vögele, Anna; Schröder, Ulrike; Licka, Theresia

Variability of the occurrence of peak muscle activity of the equine longissimus dorsi during trot Proceedings Article

In: Progress in Motor Control X. Conference, Budapest, Hungary, 2015.

BibTeX

@inproceedings{zsoldos2015b,

title = {Variability of the occurrence of peak muscle activity of the equine longissimus dorsi during trot},

author = {Rebeka Zsoldos and Björn Krüger and Anna Vögele and Ulrike Schröder and Theresia Licka},

year  = {2015},

date = {2015-01-01},

booktitle = {Progress in Motor Control X. Conference},

address = {Budapest, Hungary},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

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Zsoldos, Rebeka; Krüger, Björn; Vögele, Anna; Schröder, Ulrike; Licka, Theresia

Sideways stabilisation effect of the equine longissimus dorsi muscle in trot Proceedings Article

In: Progress in Motor Control X. Conference, Budapest, Hungary, 2015.

BibTeX

@inproceedings{zsoldos2015c,

title = {Sideways stabilisation effect of the equine longissimus dorsi muscle in trot},

author = {Rebeka Zsoldos and Björn Krüger and Anna Vögele and Ulrike Schröder and Theresia Licka},

year  = {2015},

date = {2015-01-01},

booktitle = {Progress in Motor Control X. Conference},

address = {Budapest, Hungary},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

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Riaz, Qaiser; Krüger, Björn; Weber, Andreas

A Relational Database for Human Motion Data Journal Article

In: Lecture Notes in Computer Science, Computational Science and Its Applications - ICCSA 2015, vol. 9159, pp. 234–249, 2015.

Links | BibTeX

@article{riaz2015b,

title = {A Relational Database for Human Motion Data},

author = {Qaiser Riaz and Björn Krüger and Andreas Weber},

url = {https://digital-health-bonn.de/wp-content/uploads/2024/03/riaz2015a.pdf, Paper},

doi = {10.1007/978-3-319-21413-9_17},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

journal = {Lecture Notes in Computer Science, Computational Science and Its Applications - ICCSA 2015},

volume = {9159},

pages = {234–249},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

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• Paper
• doi:10.1007/978-3-319-21413-9_17

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Hartmann, Stefan; Krüger, Björn; Klein, Reinhard

Content-Aware Re-targeting of Discrete Element Layouts Proceedings Article

In: International Conference on Computer Graphics, Visualization and Computer Vision, pp. 173–182, 2015.

Links | BibTeX

@inproceedings{hartmann2015b,

title = {Content-Aware Re-targeting of Discrete Element Layouts},

author = {Stefan Hartmann and Björn Krüger and Reinhard Klein},

url = {http://wscg.zcu.cz/WSCG2015/!_2015_WSCG_Full_Papers_proceedings.pdf},

year  = {2015},

date = {2015-01-01},

booktitle = {International Conference on Computer Graphics, Visualization and Computer Vision},

volume = {23},

number = {1-3},

pages = {173–182},

series = {WSCG proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

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• http://wscg.zcu.cz/WSCG2015/!_2015_WSCG_Full_Papers_proceedings.pdf

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Yasin, Hashim; Iqbal, Umar; Krüger, Björn; Weber, Andreas; Gall, Juergen

3D Pose Estimation from a Single Monocular Image Technical Report

Universit no. CG-2015-1 arXiv:1509.06720v1, 2015.

Links | BibTeX

@techreport{yasin2015,

title = {3D Pose Estimation from a Single Monocular Image},

author = {Hashim Yasin and Umar Iqbal and Björn Krüger and Andreas Weber and Juergen Gall},

url = {http://arxiv.org/pdf/1509.06720.pdfhttps://digital-health-bonn.de/wp-content/uploads/2024/03/yasin2015.pdf, Paper},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

number = {CG-2015-1 arXiv:1509.06720v1},

institution = {Universit},

keywords = {},

pubstate = {published},

tppubtype = {techreport}

}

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Riaz, Qaiser; Vögele, Anna; Krüger, Björn; Weber, Andreas

One Small Step for a Man: Estimation of Gender, Age, and Height from Recordings of One Step by a Single Inertial Sensor Journal Article

In: Sensors, vol. 15, no. 12, pp. 31999–32019, 2015.

Links | BibTeX

@article{riaz2015c,

title = {One Small Step for a Man: Estimation of Gender, Age, and Height from Recordings of One Step by a Single Inertial Sensor},

author = {Qaiser Riaz and Anna Vögele and Björn Krüger and Andreas Weber},

url = {https://digital-health-bonn.de/wp-content/uploads/2024/03/riaz2015c.pdf, Paper},

doi = {10.3390/s151229907},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

journal = {Sensors},

volume = {15},

number = {12},

pages = {31999–32019},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

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• doi:10.3390/s151229907

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2014

Krüger, Björn; Yasin, Hashim; Zsoldos, Rebeka; Weber, Andreas

Retrieval, Recognition and Reconstruction of Quadruped Motions Proceedings Article

In: GRAPP 2014 - International Conference on Computer Graphics Theory and Applications, SCITEPRESS, Lisbon, Portugal, 2014.

Links | BibTeX

@inproceedings{krueger2014a,

title = {Retrieval, Recognition and Reconstruction of Quadruped Motions},

author = {Björn Krüger and Hashim Yasin and Rebeka Zsoldos and Andreas Weber},

url = {https://digital-health-bonn.de/wp-content/uploads/2024/03/2013_GRAPP_3rquadruped.pdf, Paper},

year  = {2014},

date = {2014-01-01},

urldate = {2014-01-01},

booktitle = {GRAPP 2014 - International Conference on Computer Graphics Theory and Applications},

publisher = {SCITEPRESS},

address = {Lisbon, Portugal},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

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Baumann, Jan; Wessel, Raoul; Krüger, Björn; Weber, Andreas

Action Graph: A Versatile Data Structure for Action Recognition Proceedings Article

In: GRAPP 2014 - International Conference on Computer Graphics Theory and Applications, SCITEPRESS, Lisbon, Portugal, 2014.

Links | BibTeX

@inproceedings{baumann2014,

title = {Action Graph: A Versatile Data Structure for Action Recognition},

author = {Jan Baumann and Raoul Wessel and Björn Krüger and Andreas Weber},

url = {https://digital-health-bonn.de/wp-content/uploads/2024/03/baumann2014.pdf, Paper},

year  = {2014},

date = {2014-01-01},

urldate = {2014-01-01},

booktitle = {GRAPP 2014 - International Conference on Computer Graphics Theory and Applications},

publisher = {SCITEPRESS},

address = {Lisbon, Portugal},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

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Yasin, Hashim; Krüger, Björn; Weber, Andreas

Motion Tracking, Retrieval and 3D Reconstruction from Video Journal Article

In: International Journal of Multimedia and Ubiquitous Engineering (IJMUE), vol. 9, no. 2, pp. 265–280, 2014, ISSN: 1975-0080.

Links | BibTeX

@article{yasin2014a,

title = {Motion Tracking, Retrieval and 3D Reconstruction from Video},

author = {Hashim Yasin and Björn Krüger and Andreas Weber},

url = {http://www.sersc.org/journals/IJMUE/vol9_no2_2014/27.pdf},

issn = {1975-0080},

year  = {2014},

date = {2014-01-01},

journal = {International Journal of Multimedia and Ubiquitous Engineering (IJMUE)},

volume = {9},

number = {2},

pages = {265–280},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

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• http://www.sersc.org/journals/IJMUE/vol9_no2_2014/27.pdf

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