Data Analytics and Machine Learning

Data Analytics

As the number of sensors increases, it becomes increasingly difficult to make the right conclusions from the flood of available information. Methods of data analysis, such as Machine learning can help identify essential patterns in the data and ultimately use them to provide better products and better sensors that ultimately optimize business processes.

Our basic motivation is to design and harness robust tracking algorithms and data analysis techniques using both machine learning and statistical methods. The focus is also on hybrid methods that take advantage of both aspects.

At a glance

Our main focus is on position calculation, optical tracking systems, autonomous systems, sports analytics, condition classification and sensor fusion.

Our technologies

Learn more about our results of research and development efforts regarding Data Analytics.

Technologies

Applications & Projects

Learn more about projects in practice or find out about the possibilities in your area of ​​application.

 

Services

Which possibilities of cooperation exist and what the competences of Fraunhofer IIS are you can find out here.

 

 

Machine Learning Forum

Education opportunities for students and developers in industry.

Publications

Gradl, S.; Eskofier, B.; Eskofier, D.; Mutschler, C.; Otto, S.: Virtual and Augmented Reality in Sports: An Overview and Acceptance Study. In: (ACM (Hrsg.): Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp ’16): Adjunct (2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Heidelberg, Germany). 2016, S. 885-888. ISBN 978-1-4503-4462-3.

Löffler, C.; Mutschler, C.; Philippsen, M.: Approximative Event Processing on Sensor Data Streams (Best Poster and Demostration Award). In ACM (Hrsg.): Proceedings of the 9th International Conference on Distributed Event-Based Systems (9th ACM International Conference on Distributed Event-Based Systems, Oslo, Norway). 2015. S. 360—363. – ISBN 978-1-4503-3286-6.

Mutschler, C.; Philippsen, M.: Adaptive Speculative Processing of Out-of-Order Event Streams. In: ACM Transactions on Internet Technology (TOIT) 14 (2014), Nr. 1, S. 4:1—4:24, ISSN 1557-6051.

Mutschler, C.: Latency Minimization of Order-Preserving Distributed Event-Based Systems. Dissertation. Dr. Hut Verlag. 229 Seiten. ISBN 978-3-8439-1472-7.

Mutschler, C.; Löffler, C.; Witt, Nicolas; Edelhäußer, T.; Philippsen, M.: Predictive Load Management in Smart Grid Environments (Best Paper Award). In ACM (Hrsg.): Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems (8th ACM International Conference on Distributed Event-Based Systems, Mumbai, India). 2014. S. 282—287. – ISBN 978-1-2734-4.

Mutschler, C.; Ziekow, H.; Jerzak, Z.: The DEBS 2013 Grand Challenge. In: ACM (Hrsg.): Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems (7th ACM International Conference on Distributed Event-Based Systems, Arlington, Texas, USA)., 2013, S. 289-294. - ISBN 978-1-4503-1758-0.

Mutschler, C.; Witt, N.; Philippsen, M.: Do Event-Based Systems have a Passion for Sports?. In: ACM (Hrsg.): Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems (7th ACM International Conference on Distributed Event-Based Systems, Arlington, Texas, USA)., 2013, S. 331-332. - ISBN 978-1-4503-1758-0.

Mutschler, C.; Philippsen, M.: Reliable Speculative Processing of Out-of-Order Event Streams in Generic Publish/Subscribe Middlewares. In: ACM (Hrsg.): Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems (7th ACM International Conference on Distributed Event-Based Systems, Arlington, Texas, USA)., 2013, S. 147-158. - ISBN 978-1-4503-1758-0.

Loeffler, C.; Mutschler, C.; Philippsen, M.: Evolutionary Algorithms that use Runtime Migration of Detector Processes to Reduce Latency in Event-Based Systems. In: IEEE Computer Society (Hrsg.): Proceedings of the 2013 NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2013) (2013 NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2013), Torino, Italy)., 2013, S. 31-38. - ISBN 978-1-4673-6381-5.

Mutschler, C.; Philippsen, M.: Dynamic Low-Latency Distributed Event Processing of Sensor Data Streams. In: GI (Hrsg.): Proceedings of the 25th Workshop on Parallel Systems and Algorithms (PARS 2013) (25th Workshop on Parallel Systems and Algorithms (PARS 2013), Erlangen, Germany)., 2013, S. -.

Mutschler, C.; Philippsen, M.: Runtime Migration of Stateful Event Detectors with Low-Latency Ordering Constraints. In: IEEE (Hrsg.): Proceedings of the 2013 IEEE International Conference on Pervasive Computing and Communications Workshops (9th International Workshop on Sensor Networks and Systems for Pervasive Computing, San Diego, CA, USA)., 2013, S. 609-614. - ISBN 978-1-4673-5076-1.

Mutschler, C.; Philippsen, M.: Distributed Low-Latency Out-of-Order Event Processing for High Data Rate Sensor Streams. In: IEEE Computer Society (Hrsg.): Proceedings of 27th International Parallel and Distributed Processing Symposium (27th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Boston, Massachusetts, USA)., 2013, S. 1133-1144. - ISBN 978-0-7695-4971-2.

Mutschler, C.; Philippsen, M.: Learning Event Detection Rules with Noise Hidden Markov Models. In: Benkrid, K.; Merodio, D. (Hrsg.): Proceedings of the 2012 NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2012) (2012 NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2012), Nuremberg, Germany)., 2012, S. 159-166. - ISBN 978-1-4673-1914-0.

Roth, D.; Kleinbeck, C.; Feigl, T.Mutschler, C.; Latoschik, M.: Social Augmentations in Multi-User Virtual Reality: A Virtual Museum Experience. In: IEEE (Hrsg.):  Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct) (2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)Nantes, France)., 2017, S. 42-43. - ISBN 978-1-5386-1454-9

Feigl, T.; Kõre, E.; Mutschler, C.Philippsen, M.Acoustical manipulation for redirected walking. In: ACM (Hrsg.):  Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology (VRST '17) (23rd ACM Symposium on Virtual Reality Software and Technology (VRST '17)Gothenburg, Sweden). New York: ACM, 2017, S. 45:1-45:2. - ISBN 978-1-4503-5548-3

Feigl, T.Mutschler, C.Philippsen, M.: Human Compensation Strategies for Orientation Drifts. (25th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2018)Reutlingen, Germany)., 2018

Feigl, T.Mutschler, C.Philippsen, M.: Head-to-Body-Pose Classification in No-Pose VR Tracking Systems. (25th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2018)Reutlingen, Germany)., 2018

Roth, D.; Kleinbeck, C.; Feigl, T.Mutschler, C.; Latoschik, M.: Beyond Replication: Augmenting Social Behaviors in Multi-User Social Virtual Realities. (25th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2018)Reutlingen, Germany)., 2018