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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BayMed-Sleep: Analysis of the effect of sleep coaching
Prof. Dr. Jochen Klucken; Prof. Dr. Björn Eskofier
(01/12/2017 - 30/09/2019)
AC: Autonomous Cranes
Prof. Dr. Björn Eskofier
(01/07/2017 - 30/06/2020)
Human Motion: Biomechanical Simulation for the Reconstruction and Synthesis of Human Motion
Prof. Dr. Björn Eskofier
(01/01/2017 - 31/12/2019)
Digital Vision Trainer
Prof. Dr. Björn Eskofier
(01/08/2016 - 31/07/2018)
SmartAnnotation: Smart Annotation using semi-supervised techniques
Prof. Dr. Björn Eskofier
(01/02/2015 - 30/01/2019)



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