Prof. Dr. Björn Eskofier

Scopus Author ID: 26428080900



Organisation


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


Awards / Honours


2018 : Best Student Paper Award
2016 : IEEE EMBS Icehouse Challenge
2012 : Dr. Ahmed Elsaify Memorial Runner-Up Paper Award



Project lead

Go to first page Go to previous page 1 of 7 Go to next page Go to last page

(Entwicklung intelligenter neuronaler Netze zur Schrifterkennung):
EINNS: Entwicklung intelligenter neuronaler Netze zur Schrifterkennung
Prof. Dr. Björn Eskofier
(01/05/2019 - 30/04/2022)

MOBILISE-D: Connecting digital mobility assessment to clinical outcomes for regulatory and clinical endorsement
Prof. Dr. Björn Eskofier; Dr.-Ing. Felix Kluge
(01/04/2019 - 31/03/2024)

(Digital Twin - holistische Beschreibung und Bewertung von Athleten):
Digital Twin: Digital Twin – Novel data fusion algorithms and immersive interaction concepts for the holistic description and evaluation of athletes through self-learning systems
Prof. Dr. Björn Eskofier
(01/12/2018 - 31/05/2021)

Analysis and Modelling of p2p Security for Future Patient-centered Healthcare Ecosystem
Prof. Dr. Björn Eskofier
(01/10/2018 - 30/09/2021)

Classification of Acute Stress-Induced Response Patterns
Prof. Dr. Björn Eskofier
(01/09/2018)


Project member

Go to first page Go to previous page 1 of 2 Go to next page Go to last page

Human body odours: exploring chemical signatures
Dr. Helene Loos
(01/04/2019 - 31/03/2021)

Classification of Acute Stress-Induced Response Patterns
Prof. Dr. Björn Eskofier
(01/09/2018)

Applications of Deep Learning for Signal Analysis
Prof. Dr. Björn Eskofier
(01/07/2018 - 30/06/2021)

moveIT: A novel digital health pathway enables healthcare technologies for gait&falls in Parkinson’s disease
Prof. Dr. Björn Eskofier; Prof. Dr. Jochen Klucken
(01/01/2018 - 31/12/2018)

BayMed-mGL: Mobile GaITLab: Algorithmik für den Einsatz im Patientenalltag
Prof. Dr. Jochen Klucken; Prof. Dr. Björn Eskofier
(01/08/2017 - 31/01/2019)


Other Research Activities


Speech / Talk
Prof. Dr. Björn Eskofier; Stefan Gradl
Wearable Computing Systems and Machine Learning for Sports Science Research


Publications (Download BibTeX)

Go to first page Go to previous page 1 of 22 Go to next page Go to last page

Wanner, P., Schmautz, T., Kluge, F., Eskofier, B., Pfeifer, K., & Steib, S. (2019). Ankle angle variability during running in athletes with chronic ankle instability and copers. Gait & Posture, 68, 329–334.
Gradl, S., Wirth, M., Richer, R., Rohleder, N., & Eskofier, B. (2019). An Overview of the Feasibility of Permanent, Real-Time, Unobtrusive Stress Measurement with Current Wearables. In Proceedings of the EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth '19). Trento, IT.
Wanner, P., Schmautz, T., Kluge, F., Eskofier, B., Pfeifer, K., & Steib, S. (2019, January). Athletes with chronic ankle instability demonstrate altered ankle angle variability during running compared to copers. Paper presentation at Sportmotorik 2019. Adaptation, Lernen und virtuelle Welten, Bern, CH.
Kurz, J., Tharmalingam, V., Pryakhina, N., Hunger, A., Ollenschläger, M., & Eskofier, B. (2019, July). A wearable obstacle detection system for visually impaired people. Poster presentation at 41st International Engineering in Medicine and Biology Conference, Berlin, DE.
Jahn, K., Freiberger, E., Eskofier, B., Bollheimer, C., & Klucken, J. (2019). Balance and mobility in geriatric patients. Zeitschrift für Gerontologie und Geriatrie. https://dx.doi.org/10.1007/s00391-019-01561-z
Abel, L., Richer, R., Küderle, A., Gradl, S., Eskofier, B., & Rohleder, N. (2019). Classification of Acute Stress-Induced Response Patterns. In ACM (Eds.), Proceedings of the EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth '19). Trento, IT.
Nguyen, A., Roth, N., Haji Ghassemi, N., Hannink, J., Seel, T., Klucken, J.,... Eskofier, B. (2019). Correction to: Development and clinical validation of inertial sensor-based gait-clustering methods in Parkinson's disease (J Neuroeng Rehabil (2019) 16:77 DOI: 10.1186/s12984-019-0548-2). Journal of neuroEngineering and rehabilitation, 16(1). https://dx.doi.org/10.1186/s12984-019-0567-z
Nguyen, A., Roth, N., Haji Ghassemi, N., Hannink, J., Seel, T., Klucken, J.,... Eskofier, B. (2019). Development and clinical validation of inertial sensor-based gait-clustering methods in Parkinson's disease. Journal of neuroEngineering and rehabilitation, 16. https://dx.doi.org/10.1186/s12984-019-0548-2
Klein, J., Zrenner, M., Dümler, B., & Eskofier, B. (2019, June). Development of Algorithms for Computing Knee Stability Parameters Using a Sensor Equipped Knee Sleeve. Poster presentation at ORTHO – Kongress der Master, Orthopädie 4.0, Weiden, DE.
Steib, S., Klamroth, S., Gaßner, H., Pasluosta, C.F., Eskofier, B., Winkler, J.,... Pfeifer, K. (2019). Effects of perturbed treadmill training on Parkinsonian gait: time-course, sustainability, and transfer effects. In Sportmotorik 2019. Adaptation, Lernen und virtuelle Welten. Abstractband zur 16. Jahrestagung der dvs-Sektion Sportmotorik vom 16.-18. Januar 2019 in Bern. Bern, CH.

Last updated on 2019-22-01 at 17:51