| Efficient unsupervised temporal segmentation of motion data B Krüger, A Vögele, T Willig, A Yao, R Klein, A Weber IEEE Transactions on Multimedia 19 (4), 797-812, 2016 | 92 | 2016 |
| Efficient Unsupervised Temporal Segmentation of Human Motion. A Vögele, B Krüger, R Klein Symposium on Computer Animation, 167-176, 2014 | 83 | 2014 |
| One small step for a man: Estimation of gender, age and height from recordings of one step by a single inertial sensor Q Riaz, A Vögele, B Krüger, A Weber Sensors 15 (12), 31999-32019, 2015 | 77 | 2015 |
| Furyexplorer: visual-interactive exploration of horse motion capture data N Wilhelm, A Vögele, R Zsoldos, T Licka, B Krüger, J Bernard Visualization and Data Analysis 2015 9397, 148-162, 2015 | 33 | 2015 |
| Visual-interactive semi-supervised labeling of human motion capture data J Bernard, E Dobermann, A Vögele, B Krüger, J Kohlhammer, D Fellner Electronic Imaging 29, 34-45, 2017 | 29 | 2017 |
| Interactive steering of mesh animations A Vögele, M Hermann, B Krüger, R Klein Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation …, 2012 | 28 | 2012 |
| Visual-Interactive Segmentation of Multivariate Time Series. J Bernard, E Dobermann, M Bögl, M Röhlig, A Vögele, J Kohlhammer EuroVA@ EuroVis, 31-35, 2016 | 19 | 2016 |
| Approaches and challenges in the visual-interactive comparison of human motion data. J Bernard, A Vögele, R Klein, DW Fellner VISIGRAPP (3: IVAPP), 217-224, 2017 | 16 | 2017 |
| Automatic temporal segmentation of articulated hand motion K Stollenwerk, A Vögele, B Krüger, A Hinkenjann, R Klein Computational Science and Its Applications–ICCSA 2016: 16th International …, 2016 | 10 | 2016 |
| Novel methods for surface EMG analysis and exploration based on multi-modal gaussian mixture models AM Vögele, RR Zsoldos, B Krüger, T Licka PLoS One 11 (6), e0157239, 2016 | 9 | 2016 |
| Sleep detection using de-identified depth data B Kruger, A Vogele, M Lassiri, L Herwartz, T Terkatz, A Weber Journal of Mobile Multimedia, 327-342, 2014 | 9 | 2014 |
| Long term consistency and location specificity of equine gluteus medius muscle activity during locomotion on the treadmill RR Zsoldos, A Voegele, B Krueger, U Schroeder, A Weber, TF Licka BMC veterinary research 14, 1-10, 2018 | 7 | 2018 |
| Efficient unsupervised temporal segmentation of human motion. acm siggraph A Vögele, B Krüger, R Klein Eurographics Symposium on Computer Animation, 2014 | 7 | 2014 |
| Hdm12 dance-documentation on a data base of tango motion capture A Vögele, B Krüger Technical Report, No. CG-2016-1, 2016 | 6 | 2016 |
| Sleep detection using a depth camera B Krüger, A Vögele, L Herwartz, T Terkatz, A Weber, C Garcia, I Fietze, ... Computational Science and Its Applications–ICCSA 2014: 14th International …, 2014 | 4 | 2014 |
| Evaluation of Markers for Optical Hand Motion Capture K Stollenwerk, A Vögele, R Sarlette, B Krüger, A Hinkenjann, R Klein Proceedings of 13, 2016 | 3 | 2016 |
| Comparative study on equine and ovine gluteus medius muscle activity pattern during treadmill trot RR Zsoldos, A Voegele, S Valentin, A Weber, TF Licka | | 2017 |
| Patterns in Motion-From the Detection of Primitives to Steering Animations AM Vögele Universitäts-und Landesbibliothek Bonn, 2016 | | 2016 |
| HDM12 Dance A Vögele, B Krüger | | 2016 |
| Supplemental Material: Efficient Unsupervised Temporal Segmentation of Human Motion A Vögele, B Krüger, R Klein | | |
