Julius Hannink



Organisation


Stiftungs-Juniorprofessur für Sportinformatik (Digital Sports)
Lehrstuhl für Informatik 5 (Mustererkennung)
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
Augenklinik


Project member


FallRiskPD: Fall risk detection for Parkinson's disease via intelligent gait analysis
Prof. Dr. Björn Eskofier; Prof. Dr. Jochen Klucken; Prof. Dr. Jürgen Winkler
(01/01/2018 - 31/12/2019)

EFIMoves: EFI Moves: Individualized Diagnosis and Treatment in motion
Prof. Dr. Jochen Klucken; Prof. Dr. Jürgen Winkler
(01/01/2014 - 31/12/2017)


Publications (Download BibTeX)

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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
Pasluosta, C.F., Hannink, J., Gaßner, H., von Tscharner, V., Winkler, J., Klucken, J., & Eskofier, B. (2018). Motor output complexity in Parkinson's disease during quiet standing and walking: Analysis of short-term correlations using the entropic half-life. Human movement science, 58, 185-194. https://dx.doi.org/10.1016/j.humov.2018.02.005
Kluge, F., Hannink, J., Pasluosta, C.F., Klucken, J., Gaßner, H., Gelse, K.,... Krinner, S. (2018). Pre-operative sensor-based gait parameters predict functional outcome after total knee arthroplasty. Gait & Posture, 66, 194-200. https://dx.doi.org/10.1016/j.gaitpost.2018.08.026
Haji Ghassemi, N., Hannink, J., Martindale, C., Gaßner, H., Müller, M., Klucken, J., & Eskofier, B. (2018). Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease. Sensors.
Martindale, C., Roth, N., Hannink, J., Sprager, S., & Eskofier, B. (2018). Smart Annotation Tool for Multi-sensor gait based daily activity data. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). Athens, GR.
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
Pasluosta, C.F., Steib, S., Klamroth, S., Gaßner, H., Goßler, J., Hannink, J.,... Eskofier, B. (2017). Acute Neuromuscular Adaptations in the Postural Control of Patients with Parkinson’s disease after Perturbed Walking. Frontiers in Aging Neuroscience, 9, 316. https://dx.doi.org/10.3389/fnagi.2017.00316
Hannink, J., Ollenschläger, M., Kluge, F., Roth, N., Klucken, J., & Eskofier, B. (2017). Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis. Sensors, 17(9). https://dx.doi.org/10.3390/s17091940
Hannink, J., Gaßner, H., Winkler, J., Eskofier, B., & Klucken, J. (2017). Inertial sensor-based estimation of peak accelerations during heel-strike and loading as markers of impaired gait patterns in PD patients. Baden-Baden, Germany.
Hannink, J., Kluge, F., Gaßner, H., Klucken, J., & Eskofier, B. (2017). Quantifying postural instability in Parkinsonian gait from inertial sensor data during standardised clinical gait tests. In 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (pp. 129-132).

Last updated on 2017-31-07 at 10:59