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Dipl.-Ing. Marc Kurz
Universitätsassistent (Univ.-Ass.)

Institut für Pervasive Computing
Johannes Kepler Universität Linz
Altenberger Straße 69
A-4040 Linz

Room: P107
Office Hour: Mo 10:00 - 11:00
Phone: +43-732-2468-8527
Fax: +43-732-2468-8426
E-Mail: kurz ät pervasive döt jku döt at

 Curriculum Vitae: download cv_kurz.pdf


Lectures in 2012SS
340.208UE G4Algorithmen und Datenstrukturen 1
340.045PRPraktikum aus Pervasive Computing 5h
340.210UE G1Praktische Informatik 1
340.211UE G2Praktische Informatik 1
Projects
OPPORTUNITY: FP7-ICT-2007-C, FET open Goals: The project aims at developing mobile systems to recognize human activity with dynamically varying sensor setups. We refer to such systems as opportunistic, since they take advantage of sensing modalities that just happen to be available, rather than forcing to deploy specific, application dependent sensor systems. Partners: ETH Zurich, UoPassau, IDIAP Status: started February 1st, 2009
PowerIT: FFG Call: FIT-IT Embedded Systems & Semiconductors, 2nd Call Goals: This project will investigate on potentials to reduce energy inefficiency by the development of methods and solutions based on implicit user interaction. Methodologically, it will attempt to exploit opportunistic sensor configurations to establish context information, in order to avoid standby losses of electronic equipment, machines and appliances.
Betreute Bakk-/Masterarbeiten
On the Evolution of Wearable Sensors Systems in an opportunistic Activity Recognition System: Problem Definition: This Master’s Thesis investigates how new sensors can be used in a recognition chain by training them with the existing ones. Thereby, the focus shall be the question how sufficient the dynamic transfer learning approach from a sensor jacket (or alternatively from one or more smart phones) to more unobtrusive sensors (e.g., wrist worn watch, sensor on the shoe), is.
Porting and Executing Activity Recognition Algorithms on the Sensing Platform: Description: General purpose of the work is to find out which parts of the activity recognition chain (i.e., sensor signal acquisition, signal processing, feature extraction, classification) can be executed directly on the sensing platform. The platform that has to be used within this master thesis is the so-called Token, which will be provided by the Institute for Pervasive Computing. Details of the hardware can be found below, in the corresponding section.
Distributed Activity Recognition: Beschreibung Im Rahmen dieser Arbeit soll ein bestehendes Aktivitätserkennungssystem, welches mit Java/OSGi implementiert wurde, weiterentwickelt werden, um auf mehreren physischen Knoten verteilt lauffähig zu sein. Dies beinhaltet zunächst die Einarbeitung in das bestehende System, um anschließend die bestehenden Komponenten zu erweitern, um in einer verteilten Umgebung zu operieren.
Publications (15)
2012
G. Hölzl, M. Kurz, A. Ferscha
Goal Oriented Opportunistic Recognition of High-Level Composed Activities using Dynamically Configured Hidden Markov Models
The 3rd International Conference on Ambient Systems, Networks and Technologies (ANT2012), 2012.
M. Kurz, G. Hölzl, A. Ferscha
Dynamic Adaptation of Opportunistic Sensor Configurations for Continuous and Accurate Activity Recognition
Fourth International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE2012), July 22-27, Nice, France, ISBN: 978-1-61208-219-6, 2012.
2011
M. Kurz, G. Hölzl, A. Ferscha, A. Calatroni, D. Roggen, G. Tröster, H. Sagha, R. Chavarriaga, J. Millán, D. Bannach, K. Kunze, P. Lukowicz
The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition
International Journal of Sensors, Wireless Communications and Control, Special Issue on Autonomic and Opportunistic Communications, Bentham Science Publishers, ISSN: 2210-3279, 2011.
D. Roggen, A. Calatroni, K. Förster, G. Tröster, P. Lukowicz, D. Bannach, A. Ferscha, M. Kurz, G. Hölzl, H. Sagha, H. Bayati, J. del R. Millán, R. Chavarriaga
Activity Recognition in Opportunistic Sensor Environments
Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11), Procedia Computer Science, Editors: Elisabeth Giacobino, Rolf Pfeifer, Elsevier, Vol. 7, pp. 173-174, 2011.
M. Kurz, G. Hölzl, A. Ferscha, A. Calatroni, D. Roggen, G. Troester
Real-Time Transfer and Evaluation of Activity Recognition Capabilities in an Opportunistic System
Third International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE2011), September 25-30, Rome, Italy, ISBN: 978-1-61208-156-4, pp. 73-78, 2011.
G. Hölzl, M. Kurz, A. Ferscha, D. Roggen, A. Calatroni, G. Tröster, R. Chavarriaga, J. Millán, H. Sagha, P. Lukowicz, D. Bannach
A Framework for Opportunistic Context and Activity Recognition
9th International Conference on Pervasive Computing (Pervasive2011), June 12-15, San Francisco, CA, USA, 2011.
M. Kurz, G. Hölzl, A. Ferscha, H. Sagha, J. Millán, R. Chavarriaga
Dynamic Quantification of Activity Recognition Capabilities in Opportunistic Systems
Fourth Conference on Context Awareness for Proactive Systems: CAPS2011, 15-16 May 2011, Budapest, Hungary, 2011.
D. Roggen, A. Calatroni, K. Förster, G. Tröster, A. Ferscha, M. Kurz, G. Hölzl, P. Lukowicz, D. Bannach, H. Sagha, H. Bayati, J. Millán, R. Chavarriaga
Activity recognition in opportunistic sensor environments
The European Future Technologies Conference and Exhibition (FET11), 4-6 May, Budapest, Hungary, pp. 2, 2011.
Projects: OPPORTUNITY
2010
R. Chavarriaga, J. Millán, H. Sagha, H. Bayati, P. Lukowicz, D. Bannach, D. Roggen, K. Förster, A. Calatroni, G. Tröster, A. Ferscha, M. Kurz, G. Hölzl
Robust activity recognition for assistive technologies: Benchmarking ML techniques
Workshop on Machine Learning for Assistive Technologies at the Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS-2010), 2010.
Projects: OPPORTUNITY
M. Kurz, A. Ferscha
Sensor Abstractions for Opportunistic Activity and Context Recognition Systems
5th European Conference on Smart Sensing and Context (EuroSSC 2010), November 14-16, Passau Germany, Editors: Lukowicz, Paul; Kunze, Kai; Kortuem, Gerd, Springer LNCS, Berlin-Heidelberg, ISBN: 978-3-642-16981-6, pp. 135-149, 2010.
M. Kurz
Goal-Driven opportunistic Sensing
12th ACM International Conference on Ubiquitous Computing (Ubicomp 2010), Doctoral Colloquium, Copenhagen, Denmark, September 26 - 29, 2010, Adjunct Proceedings, 2010.
Conferences: Ubicomp 2010
Projects: OPPORTUNITY
M. Kurz, A. Ferscha, A. Calatroni, D. Roggen, G. Tröster
Towards a Framework for opportunistic Activity and Context Recognition
12th ACM International Conference on Ubiquitous Computing (Ubicomp 2010), Workshop on Context awareness and information processing in opportunistic ubiquitous systems, Copenhagen, Denmark, September 26 - 29, 2010, 2010.
Conferences: Ubicomp 2010
Projects: OPPORTUNITY
Master Thesis: Distributed Activity Recognition
D. Roggen, A. Calatroni, M. Rossi, T. Holleczek, K. Förster, G. Tröster, P. Lukowicz, D. Bannach, G. Pirkl, A. Ferscha, J. Doppler, C. Holzmann, M. Kurz, G. Holl, R. Chavarriaga, M. Creatura, J. Millán
Collecting complex activity data sets in highly rich networked sensor environments
Proceedings of the Seventh International Conference on Networked Sensing Systems (INSS), Kassel, Germany, IEEE Computer Society Press, 2010.
Projects: OPPORTUNITY
D. Roggen, A. Calatroni, M. Rossi, T. Holleczek, K. Förster, G. Tröster, P. Lukowicz, D. Bannach, G. Pirkl, F. Wagner, A. Ferscha, J. Doppler, C. Holzmann, M. Kurz, G. Holl, R. Chavarriaga, M. Creatura, J. Millán
Walk-through the OPPORTUNITY dataset for activity recognition in sensor rich environments
Adjunct Proceedings of the Eighth International Conference on Pervasive Computing, Helsinki, Finland, 2010.
Conferences: Pervasive 2010
Projects: OPPORTUNITY
2008
M. Kurz
Entwicklung eines Systems zur semantischen Annotation von Stellenangeboten mit GATE (General Architecture for Text Engineering)
Master Thesis, Johannes Kepler University Linz, Austria, 2008.

 

Teaching History
   
ST 2012
  

Praktische Informatik I
Two Exercise groups, each 1 semester hour
Specification of Algorithms, Algorithmic Complexity, Recursion, Random Numbers, Basic Sorting Algorithms, ...

 
ST 2012
  

Praktikum Pervasive Computing
5 semester hours, together with Prof. Dr. Alois Ferscha
Activity Recognition with Wrist-Worn Accelerometer Sensors

 
WT 2011/2012
  

Algorithmen und Datenstrukturen 2
Four Exercise groups, each 1 semester hour
Algorithmic Complexity, Abstract Datatypes, Sorting (HeapSort, MergeSort, QuickSort, RadixSort), Searching (Binary Tree, AVL Tree, Skip List), Balanced Trees, Hashing, Graphs, ...

 
ST 2011
  

Praktische Informatik I
Three Exercise groups, each 1 semester hour
Specification of Algorithms, Algorithmic Complexity, Recursion, Random Numbers, Basic Sorting Algorithms, ...

 
ST 2011
  

Praktikum Pervasive Computing
5 semester hours, together with Prof. Dr. Alois Ferscha
Activity Recognition with Wrist-Worn Accelerometer Sensors

 
WT 2010/2011
  

Algorithmen und Datenstrukturen 2
Four Exercise groups, each 1 semester hour
Algorithmic Complexity, Abstract Datatypes, Sorting (HeapSort, MergeSort, QuickSort, RadixSort), Searching (Binary Tree, AVL Tree, Skip List), Balanced Trees, Hashing, Graphs, ...

 
ST 2010
  

Praktische Informatik I
Two Exercise groups, each 1 semester hour
Specification of Algorithms, Algorithmic Complexity, Recursion, Random Numbers, Basic Sorting Algorithms, ...

 

 

 

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