Ulf Jensen
Ulf Jensen
Researcher at the Pattern Recognition Lab, University of Erlangen
Verified email at informatik.uni-erlangen.de - Homepage
Title
Cited by
Cited by
Year
Activity recognition in beach volleyball using a deep convolutional neural network
T Kautz, BH Groh, J Hannink, U Jensen, H Strubberg, BM Eskofier
Data Mining and Knowledge Discovery 31 (6), 1678-1705, 2017
942017
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
432013
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
402013
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
332012
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
242011
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
232018
An IMU-based mobile system for golf putt analysis
U Jensen, M Schmidt, M Hennig, FA Dassler, T Jaitner, BM Eskofier
Sports Engineering 18 (2), 123-133, 2015
232015
Approaching the accuracy–cost conflict in embedded classification system design
U Jensen, P Kugler, M Ring, BM Eskofier
Pattern Analysis and Applications 19 (3), 839-855, 2016
192016
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
192016
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
132017
Generic features for biosignal classification
U Jensen, M Ring, B Eskofier
Sportinformatik 2012 112, 2012
112012
Sensor-based instant golf putt feedback
U Jensen, P Kugler, F Dassler, B Eskofier
Proc. of the IACSS, 49-53, 2011
102011
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
92012
A wearable real-time activity tracker
U Jensen, H Leutheuser, S Hofmann, B Schuepferling, G Suttner, K Seiler, ...
Biomedical Engineering Letters 5 (2), 147-157, 2015
82015
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
62018
Recording and analysis of biosignals on mobile devices
P Kugler¹, U Jensen¹, B Eskofier
Sportinformatik 2012, 182, 2012
62012
Feedback-Training mit tragbaren Sensor-Netzwerken
PF Kugler, U Jensen, B Eskofier, J Hornegger
INFORMATIK 2010. Service Science–Neue Perspektiven für die Informatik. Band 1, 2010
52010
Quantifying feedback: Insights into peer assessment data
DK Wind, UA Jensen
ICEL 2017-Proceedings of the 12th International Conference on e-Learning, 256, 2017
42017
Classification of kinematic golf putt data with emphasis on feature selection
U Jensen, B Eskofier, F Dassler
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
42012
Optimal allocation of reviewers for peer feedback
DK Wind, UA Jensen, RM Jørgensen, SL Hansen, O Winther
European Conference on e-Learning, 566-573, 2017
32017
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Articles 1–20