Prof. Dr. Björn Eskofier

Scopus Autoren ID: 26428080900



Organisationseinheit


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


Preise / Auszeichnungen


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



Projektleitung

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Anwendung von Deep Learning für Signalanalysen
Prof. Dr. Björn Eskofier
(01.07.2018 - 30.06.2021)

Open Badges: Eine Open-Source Plattform zur Analyse von sozialen Interaktionen und Gruppendynamik
Prof. Dr. Björn Eskofier; Prof. Dr. Alex Pentland
(30.05.2018 - 30.11.2018)

VR Amblyopie Trainer
Prof. Dr. Björn Eskofier
(01.04.2018 - 31.12.2019)

HOOP: mHealth tOol for parkinsOn’s disease training and rehabilitation at Patient’s home
Prof. Dr. Björn Eskofier
(01.02.2018 - 31.01.2019)

Ganganalyse bei geriatrischen Patienten mittels mobiler Sensorsysteme und maschinellem Lernen zur Prädiktion des Sturzrisikos
Prof. Dr. Björn Eskofier; Prof. Dr. Jochen Klucken
(15.01.2018 - 15.01.2021)


Mitarbeit in Forschungsprojekten

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Anwendung von Deep Learning für Signalanalysen
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. Jochen Klucken
(01.01.2018 - 31.12.2018)

BayMed-mGL: Mobile GaITLab: Algorithmik für den Einsatz im Patientenalltag
Prof. Dr. Björn Eskofier; Prof. Dr. Jochen Klucken
(01.08.2017 - 31.01.2019)

C4H - Gesamt: Capital4Health - „Handlungsmöglichkeiten für einen aktiven Lebensstil: ein Forschungsnetzwerk für interaktiven Wissensaustausch in der Gesundheitsförderung“
Prof. Dr. Alfred Rütten
(01.02.2015 - 31.01.2018)

ESI 2: ESI-Anwendungszentrum für die digitale Automatisierung, den digitalen Sport und die Automobilsensorik der Zukunft
Prof. Dr.-Ing. Jürgen Teich
(01.01.2015 - 31.12.2018)


Weitere Forschungsaktivitäten


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


Publikationen (Download BibTeX)

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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.
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.
Schellenberger, S., Shi, K., Mai, M., Wiedemann, J.P., Steigleder, T., Eskofier, B.,... Kölpin, A. (2019). Detecting Respiratory Effort-Related Arousals in Polysomnographic Data Using LSTM Networks. (Unpublished, Accepted).
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.
Steib, S., Klamroth, S., Gaßner, H., Pasluosta, C.F., Eskofier, B., Winkler, J.,... Pfeifer, K. (2019). Exploring gait adaptations to perturbed and conventional treadmill training in Parkinson’s disease: Time-course, sustainability, and transfer. Human Movement Science. https://dx.doi.org/10.1016/j.humov.2019.01.007
Adams Seewald, L., Facco Rodrigues, V., Ollenschläger, M., Stoffel Antunes, R., Andre da Costa, C., da Rosa Righi, R.,... Fahrig, R. (2019). Toward analyzing mutual interference on infrared-enabled depth cameras. Computer Vision and Image Understanding. https://dx.doi.org/10.1016/j.cviu.2018.09.010
Minakaki, G., Canneva, F., Chevessier, F., Bode, F., Menges, S., Timotius, I.,... Klucken, J. (2019). Treadmill exercise intervention improves gait and postural control in alpha-synuclein mouse models without inducing cerebral autophagy. Behavioural Brain Research, 363, 199-215. https://dx.doi.org/10.1016/j.bbr.2018.11.035
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.
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.
Stoffel Antunes, R., Adams Seewald, L., Facco Rodrigues, V., Andre da Costa, C., da Silveira Junior, L.G., da Rosa Righi, R.,... Campanatti, G. (2018). A Survey of Sensors in Healthcare Workflow Monitoring. ACM Computing Surveys, 51(2). https://dx.doi.org/10.1145/3177852

Zuletzt aktualisiert 2019-22-01 um 17:51