Stiftungs-Juniorprofessur für Sportinformatik (Digital Sports)

Reallocation / Closing: 01/03/2017
Haberstraße 2
91058 Erlangen

Related Project(s)

MotionLab@Home: Multimodal movement analysis system for therapy monitoring
Prof. Dr. Björn Eskofier
(01/10/2015 - 31/12/2016)


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Wirth, M., Gradl, S., Poimann, D., Schaefke, H., Matlok, S., Koerger, H., & Eskofier, B. (2018). Assessment of Perceptual-Cognitive Abilities among Athletes in Virtual Environments: Exploring Interaction Concepts for Soccer Players. In ACM New York, NY, USA ©2018 (Eds.), Proceedings of the 2018 Designing Interactive Systems Conference (pp. 1013-1024). Hong Kong, HK: New York.
Timotius, I., Canneva, F., Minakaki, G., Pasluosta, C.F., Moceri, S., Casadei, N.,... Eskofier, B. (2018). Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis. Data in Brief, 17, 189-193.
Hannink, J., Kautz, T., Pasluosta, C.F., Barth, J., Schülein, S., Gassmann, K.-G.,... Eskofier, B. (2018). Mobile Stride Length Estimation with Deep Convolutional Neural Networks. IEEE Journal of Biomedical and Health Informatics, 22(2), 354 - 362.
Timotius, I., Canneva, F., Minakaki, G., Pasluosta, C.F., Moceri, S., Casadei, N.,... Eskofier, B. (2018). Dynamic footprint based locomotion sway assessment in α-synucleinopathic mice using Fast Fourier Transform and Low Pass Filter. Journal of Neuroscience Methods, 296, 1-11.
Groh, B., Fritz, J., Deininger, M., Schwameder, H., & Eskofier, B. (2018). Unobtrusive and Wearable Landing Momentum Estimation in Ski Jumping with Inertial-Magnetic Sensors. In IEEE (Eds.), Proceedings of the 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (pp. 102-105). Las Vegas, USA.
Gradl, S., Cibis, T., Lauber, J., Richer, R., Rybalko, R., Pfeiffer, N.,... Eskofier, B. (2017). Wearable Current-Based ECG Monitoring System with Non-Insulated Electrodes for Underwater Application. Applied Sciences, 7(12).
Steib, S., Klamroth, S., Gaßner, H., Pasluosta, C.F., Eskofier, B., Winkler, J.,... Pfeifer, K. (2017). Perturbation during treadmill training improves dynamic balance and gait in Par-kinson’s disease: A single-blind randomized controlled pilot trial. Neurorehabilitation and Neural Repair, 31(8), 758-768.
Kluge, F., & Eskofier, B. (2017). Letter to the Editor regarding “Gait recording with inertial sensors – How to determine initial and terminal contact”. Journal of Biomechanics, 52, 183-184.
Leutheuser, H., Lang, N., Gradl-Trautvetter, S., Struck, M., Tobola, A., Hofmann, C.,... Eskofier, B. (2017). Textile Integrated Wearable Technologies for Sports and Medical Applications. In Stefan Schneegass, Oliver Amft (Eds.), Smart Textiles (pp. 359-382).
Gelse, K., Knorz, S., Kluge, F., Hotfiel, T., Eskofier, B., & Krinner, S. (2017). „Natural Running“: Biomechanischer Vergleich von Vorfuß- oder Rückfußlauf. In Sports Orthopaedics and Traumatology (pp. 214-215). Berlin: Urban & Fischer.
Drory, A., Groh, B., & Eskofier, B. (2017). Supervised Learning Approach to Markerless Acquisition of Rower Kinematics. In Proceedings of the 26th Congress of the International Society of Biomechanics (ISB). Brisbane, Australia.
Kluge, F., Krinner, S., Lochmann, M., & Eskofier, B. (2017). Speed dependent effects of laterally wedged insoles on gait biomechanics in healthy subjects. Gait & Posture, 55, 145-149.
Kautz, T., Eskofier, B., & Pasluosta, C.F. (2017). Generic performance measure for multiclass-classifiers. Pattern Recognition, 68(8), 111 - 125.
Kautz, T., Groh, B., Hannink, J., Jensen, U., Strubberg, H., & Eskofier, B. (2017). Activity recognition in beach volleyball using a Deep Convolutional Neural Network. Data Mining and Knowledge Discovery, 31(6), 1678–1705.
Kluge, F., Gaßner, H., Hannink, J., Pasluosta, C.F., Klucken, J., & Eskofier, B. (2017). Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters. Sensors, 17(7), 1522.
Christian, J., Kluge, F., Eskofier, B., & Schwameder, H. (2017). Comparison of different marker sets for marker trajectory and principal component analysis based classification of simulated gait impairments. Journal of Biomedical Engineering and Informatics, 3(1), 10-17.
Hannink, J., Kautz, T., Pasluosta, C.F., Gaßmann, K.-G., Klucken, J., & Eskofier, B. (2017). Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks. IEEE Journal of Biomedical and Health Informatics, 21(1), 85--93.
Knorz, S., Kluge, F., Gelse, K., Schulz-Drost, S., Hotfiel, T., Lochmann, M.,... Krinner, S. (2017). Three-Dimensional Biomechanical Analysis of Rearfoot and Forefoot Running. Orthopaedic Journal of Sports Medicine, 5(7).
Groh, B., Fleckenstein, M., Kautz, T., & Eskofier, B. (2017). Classification and visualization of skateboard tricks using wearable sensors. Pervasive and Mobile Computing, 40, 42-55.
Leutheuser, H., Heyde, C., Röcker, K., Gollhofer, A., & Eskofier, B. (2017). Reference-Free Adjustment of Respiratory Inductance Plethysmography for Measurements during Physical Exercise. IEEE Transactions on Biomedical Engineering.

Last updated on 2017-21-03 at 01:00