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

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

Open Badges: An Open-Source Sensor Platform for Analysis of Social Interactions and Group Dynamics
Prof. Dr. Björn Eskofier; Prof. Dr. Alex Pentland
(30/05/2018 - 30/11/2018)

HOOP: mHealth tOol for parkinsOn’s disease training and rehabilitation at Patient’s home
Prof. Dr. Björn Eskofier
(01/02/2018 - 31/01/2019)

Gait analysis in geriatrics using mobile sensor systems and machine learning for fall prediction
Prof. Dr. Björn Eskofier; Prof. Dr. Jochen Klucken
(15/01/2018 - 15/01/2021)

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)


Project member


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

C4H - Gesamt: Capital4Health
Prof. Dr. Alfred Rütten
(01/02/2015 - 31/01/2018)

DailyHeart: DailyHeart
Robert Richer
(15/08/2014)

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


Other Research Activities


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


Publications (Download BibTeX)

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Amores, J., Richer, R., Zhao, N., Maes, P., & Eskofier, B. (2018). Promoting Relaxation Using Virtual Reality, Olfactory Interfaces and Wearable EEG. In IEEE (Eds.), 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN). Las Vegas, NV, US.
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.
Ullrich, M., Gladow, T., Roth, N., Küderle, A., Ollenschläger, M., Gaßner, H.,... Eskofier, B. (2018, July). FallRiskPD: Long-term fall risk classification for Parkinson’s disease via intelligent sensor-based gait analysis in the home environment (Talk). Paper presentation at European Falls Festival 2018, Manchester, GB.
Steib, S., Klamroth, S., Gaßner, H., Pasluosta, C.F., Eskofier, B., Winkler, J.,... Pfeifer, K. (2018). Gait adaptations to treadmill training in Parkinson’s patients: effects of perturbation, sustainability, and moderators. In Murphy, M., Boreham, C., De Vito, G., Tsolakidis, E. (Eds.), Book of Abstracts (pp. 335).
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.
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.
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
Klamroth, S., Gaßner, H., Winkler, J., Eskofier, B., Klucken, J., Pfeifer, K., & Steib, S. (2018). Sensomotorisches Laufbandtraining in der Rehabilitation von Gangstörungen bei Patienten mit Morbus Parkinson. In Deutsche Rentenversicherung Bund (Eds.), 27. Rehabilitationswissenschaftliches Kolloquium: Rehabilitation bewegt! (pp. 356-357).
Maurer, M., Zrenner, M., Reynolds, D., Dümler, B., & Eskofier, B. (2018). Sleeve Based Knee Angle Calculation for Rehabilitation. In IEEE (Eds.), Proceedings of the 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (pp. 1-4). Las Vegas, Nevada, US.
Moceri, S., Canneva, F., Habermeyer, J., Dobner, J., Schulze-Krebs, A., Puchades, M.,... von Hörsten, S. (2018, March). Association of early phenotypic behavioral alterations in human alpha-synuclein overexpressing transgenic rats with alpha-synuclein/huntingtin/amyloid-beta protein cross-seeding. Poster presentation at Advances in Alzheimer's and Parkinson's Therapies an AAT-AD/PD Focus Meeting, Torino, IT.

Last updated on 2016-01-06 at 16:36