Stiftungs-Juniorprofessur für Sportinformatik (Digital Sports)

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


Related Project(s)


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



Publications

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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. https://dx.doi.org/10.1016/j.dib.2017.12.067
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. https://dx.doi.org/10.1109/JBHI.2017.2679486
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. https://dx.doi.org/10.1016/j.jneumeth.2017.12.004
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). https://dx.doi.org/10.3390/app7121277
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. https://dx.doi.org/10.1177/1545968317721976
Kautz, T., Eskofier, B., & Pasluosta, C.F. (2017). Generic performance measure for multiclass-classifiers. Pattern Recognition, 68(8), 111 - 125. https://dx.doi.org/10.1016/j.patcog.2017.03.008
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. https://dx.doi.org/10.1016/j.gaitpost.2017.04.012
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. https://dx.doi.org/10.1016/j.pmcj.2017.05.007
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). https://dx.doi.org/10.1177/2325967117719065
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.
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. https://dx.doi.org/10.1109/TBME.2017.2675941
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.
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.
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. https://dx.doi.org/10.1007/s10618-017-0495-0
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).
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. https://dx.doi.org/10.3390/s17071522
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. https://dx.doi.org/10.1016/j.jbiomech.2016.07.043
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. https://dx.doi.org/10.1109/JBHI.2016.2636456
Witt, N., Völker, M., & Eskofier, B. (2016, November). Detection of Single Ball Contacts using a Radio-based Tracking System - A Basis for Technical Performance Analysis. Paper presentation at International Congress on Sports Sciences Research and Technoloy Support, Porto, PT.

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