Florian Grützmacher

Florian Grützmacher

Tel.: +49 381 498 7289
Raum: W1337


  • Energy-efficient online activity recognition
  • Recognition algorithms on heterogeneous multi-core architectures
  • Model-based algorithm distribution


Florian Grützmacher, Johann-Peter Wolff, Albert Hein, Polichronis Lepidis, Rainer Dorsch, Thomas Kirste, Christian Haubelt:
Towards Energy Efficient Sensor Nodes for Online Activity Recognition
In Proceedings of the 43th Annual Conference of the IEEE Industrial Electronics Society (IECON 2017), Peking, China, November 2017

Albert Hein, Florian Grützmacher, Christian Haubelt, Thomas Kirste:
Fast care – real-time sensor data analysis framework for intelligent assistance systems
In International Journal Current Directions in Biomedical Engineering, Vol. 3, Nr. 2, pp. 743–747, ISSN: 2364-5504, DOI: 10.1515/cdbme-2017-0157, Verlag De Gruyter, Berlin, Deutschland, September 2017

Florian Grützmacher, Benjamin Beichler, Bart Theelen, Christian Haubelt:
Dataflow-based Modeling and Performance Analysis for Online Gesture Recognition
In Proceedings of the Second International Workshop on modeling, analysis and control of complex Cyber-Physical Systems (CPSData'16), pp. 1-8, ISBN: 978-1-5090-1154-4, DOI:10.1109/CPSData.2016.7496423, Wien, Österreich, April 2016

Florian Grützmacher, Johann-Peter Wolff, Christian Haubelt:
Sensor-Based Online Hand Gesture Recognition on Multi-Core DSPs
In Proceedings of the IEEE Symposium on Signal Processing on Graphics Processing Units and Multicores (GlobalSIP), pp. 898-902, ISBN: 978-1-4799-7591-4, DOI:10.1109/GlobalSIP.2015.7418327, Orlando, Florida, USA, Dezember 2015

Florian Grützmacher, Johann-Peter Wolff, Christian Haubelt:
Exploiting Thread-Level Parallelism in Template-Based Gesture Recognition with Dynamic Time Warping
In Proceedings of the International Workshop on Sensor-based Activity Recognition and Interaction (WoAR'15), pp. 6:1 – 6:6, ISBN: 978-1-4503-3454-9, DOI:10.1145/2790044.2790050, Rostock, Deutschland, Juni 2015


  • fast care - Teilvorhaben: Verteilte Inferenz-Algorithmen auf Multi-Sensor-Plattformen