Machine Learning and Data Analytics


Organisation:
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)

Description:


The researchers in the Machine Learning and Data Analytics (MaD) lab conduct theoretical and applied research for wearable computing systems and machine learning algorithms for engineering applications at the intersection of sports and health care.



Related Project(s)

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LZE KH: Leistungszentrum Elektroniksysteme kognitive Handwerkzeuge
Christoffer Löffler
(01/02/2019 - 31/12/2020)
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)
VR-Amblyopie-Trainer: VR Amblyopia 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)
Gait analysis in geriatric patients using mobile sensor systems and machine learning algorithms
Prof. Dr. Björn Eskofier; Prof. Dr. Jochen Klucken
(15/01/2018 - 15/01/2021)



Assigned publications


Blank, P., Groh, B., & Eskofier, B. (2017). Ball Speed and Spin Estimation in Table Tennis Using a Racket-mounted Inertial Sensor. In Proceedings of the 2017 ACM International Symposium on Wearable Computers. Maui, Hawaii, USA.

Last updated on 2018-24-10 at 15:04