| Activity recognition in beach volleyball using a Deep Convolutional Neural Network: Leveraging the potential of Deep Learning in sports T Kautz, BH Groh, J Hannink, U Jensen, H Strubberg, BM Eskofier Data Mining and Knowledge Discovery 31, 1678-1705, 2017 | 193 | 2017 |
| Comparison of different algorithms for calculating velocity and stride length in running using inertial measurement units M Zrenner, S Gradl, U Jensen, M Ullrich, BM Eskofier Sensors 18 (12), 4194, 2018 | 56 | 2018 |
| Estimation of the knee flexion-extension angle during dynamic sport motions using body-worn inertial sensors C Jakob, P Kugler, F Hebenstreit, S Reinfelder, U Jensen, D Schuldhaus, ... Proceedings of the 8th International Conference on Body Area Networks, 289-295, 2013 | 56 | 2013 |
| Classification of kinematic swimming data with emphasis on resource consumption U Jensen, F Prade, BM Eskofier 2013 IEEE International Conference on Body Sensor Networks, 1-5, 2013 | 48 | 2013 |
| An IMU-based mobile system for golf putt analysis U Jensen, M Schmidt, M Hennig, FA Dassler, T Jaitner, BM Eskofier Sports Engineering 18, 123-133, 2015 | 38 | 2015 |
| Does the position of foot-mounted IMU sensors influence the accuracy of spatio-temporal parameters in endurance running? M Zrenner, A Küderle, N Roth, U Jensen, B Dümler, BM Eskofier Sensors 20 (19), 5705, 2020 | 34 | 2020 |
| Software-based performance and complexity analysis for the design of embedded classification systems M Ring, U Jensen, P Kugler, B Eskofier Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 33 | 2012 |
| Mobile recording system for sport applications P Kugler, D Schuldhaus, U Jensen, B Eskofier Proceedings of the 8th international symposium on computer science in sport …, 2011 | 25 | 2011 |
| Can machine learning techniques predict customer dissatisfaction? A feasibility study for the automotive industry. S Meinzer, U Jensen, A Thamm, J Hornegger, BM Eskofier Artif. Intell. Res. 6 (1), 80-90, 2017 | 23 | 2017 |
| Unobtrusive and energy-efficient swimming exercise tracking using on-node processing U Jensen, P Blank, P Kugler, BM Eskofier IEEE Sensors Journal 16 (10), 3972-3980, 2016 | 23 | 2016 |
| Approaching the accuracy–cost conflict in embedded classification system design U Jensen, P Kugler, M Ring, BM Eskofier Pattern Analysis and Applications 19, 839-855, 2016 | 21 | 2016 |
| Classification of surfaces and inclinations during outdoor running using shoe-mounted inertial sensors D Schuldhaus, P Kugler, U Jensen, B Eskofier, H Schlarb, M Leible Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 13 | 2012 |
| Sensor-based instant golf putt feedback U Jensen, P Kugler, F Dassler, B Eskofier Proc. of the IACSS, 49-53, 2011 | 13 | 2011 |
| Kinematic parameter evaluation for the purpose of a wearable running shoe recommendation M Zrenner, M Ullrich, P Zobel, U Jensen, F Laser, BH Groh, B Duemler, ... 2018 IEEE 15th international conference on wearable and implantable body …, 2018 | 11 | 2018 |
| Generic features for biosignal classification U Jensen, M Ring, B Eskofier Sportinformatik 2012 112, 2012 | 11 | 2012 |
| A wearable real-time activity tracker U Jensen, H Leutheuser, S Hofmann, B Schuepferling, G Suttner, K Seiler, ... Biomedical Engineering Letters 5, 147-157, 2015 | 9 | 2015 |
| Quantifying feedback: Insights into peer assessment data DK Wind, UA Jensen Proc. 12th Int. Conf. e-Learning, 256, 2017 | 8 | 2017 |
| Recording and analysis of biosignals on mobile devices P Kugler¹, U Jensen¹, B Eskofier Sportinformatik 2012, 182, 2012 | 8 | 2012 |
| Wearable chest sensor for stride and respiration detection during running S Bernhart, E Harbour, S Kranzinger, U Jensen, T Finkenzeller Sports Engineering 26 (1), 19, 2023 | 6 | 2023 |
| Evaluation of foot kinematics during endurance running on different surfaces in real-world environments M Zrenner, C Feldner, U Jensen, N Roth, R Richer, BM Eskofier Proceedings of the 12th International Symposium on Computer Science in Sport …, 2020 | 6 | 2020 |
Bjoern M. EskofierMaD Lab, FAU Erlangen-Nürnberg & TDH Group, Helmholtz MunichVerified email at fau.de
