ETH Zürich
Martin Wirz
Institut f. Elektronik ETZ H 97
Gloriastrasse 35
8092 Zürich
Phone: +41 44 632 58 29 E-Mail:
Martin Wirz studied Information Technology and Electrical Engineering at ETH Zurich. He focused on Ubiquitous Computing and Mobile Communication. In 2008, he finalized his studies with his Master’s thesis „Mobile Social Networking for Enhanced Group Communication“ conducted at Swisscom Strategy & Innovation.
In January 2009, he started his PhD in the Wearable Group at the Electronics Laboratory.
Research Interests
I am involved in the FP7 SOCIONICAL project with the title Complex Socio-Technical System in Ambient Intelligence. My main research focus lies on understanding how mobile technology can be used for crowd management in urban settings for emergency response & crisis management.
I am the project leader of the CoenoSense (www.coenosense.com) platform. The CoenoSense platform allows to aquire, process and visualize context, activity and location information from potentially hundres of mobile devices simultaneously. The platform can be used for real-time human behavior studies, large-scale urban space monitoring and helps to gain novel insight into social dynamics. CoenoSense has already been used during several city-wide mass gatherings for real-time crowd management.
Visualization of crowd dynamics during city-wide mass gatherings
We have been using CoenoSense to collect GPS location updates from mobile phones of hundreds of visitors of mass-gatherings. This information was used to obtain a crowd density estimation which was visualized and made available in real-time to event organizers and security personnel.
A report about earlier work and my vision can be found in the ETH Life article Das Handy als Lebensretter.
Einstein TV Report from 30.09.2010
Research Interest Keywords
Crowd Sensing
Collective Behavior Sensing
Reality Mining
Social Computing
Social Network Analysis
Publications
2012
Inferring and visualizing crowd conditions by collecting GPS location traces from pedestrians' mobile phones for real-time crowd monitoring during city-scale mass gatherings Martin Wirz, Tobias Franke, Daniel Roggen, Eve Mitleton-Kelly, Paul Lukowicz and Gerhard Tröster in: Collaborative Technology for Coordinating Crisis Management (CT2CM) track of WETICE-2012, 2012 [ BiBTeXRIS ]
Mobile Sensing of Pedestrian Flocks in Indoor Environments using WiFi Signals Mikkel Baun Kjærgaard, Martin Wirz, Daniel Roggen and Gerhard Tröster in: Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2012 [ BiBTeXRIS ]
2011
Real-time Detection and Recommendation of Thermal Spots by Sensing Collective Behaviors in Paragliding Martin Wirz, Christina Strohrmann, Roman Patscheider, Fabian Hilti, Bernhard Gahr, Frederik Hess, Daniel Roggen and Gerhard Tröster in: Proceedings of the 1st International Symposium on Social and Community Intelligence, 2011 [ BiBTeXRIS ]
Recognition of Crowd Behavior from Mobile Sensors with Pattern Analysis and Graph Clustering Methods Daniel Roggen, Martin Wirz, Dirk Helbing and Gerhard Tröster (2011), in: Networks and Heterogeneous Media [ BiBTeXRIS ]
Sensing Dance Engagement for Collaborative Music Control Michael Kuhn, Martin Wirz, Matthias Flückiger, Roger Wattenhofer and Gerhard Tröster in: Proceedings of the 14th IEEE International Symposium on Wearable Computers (ISWC 2011), IEEE Computer Society, 2011 [ BiBTeXRIS ]
Towards an online detection of pedestrian flocks in urban canyons by smoothed spatio-temporal clustering of GPS trajectories Martin Wirz, Mikkel Baun Kjaergaard, Sebastian Feese, Pablo Schläpfer, Daniel Roggen and G. Tröster in: Proceedings of the 3rd ACM SIGSPATIAL International Workshop onLocation-Based Social Networks (LBSN 2011), 2011 [ BiBTeXRIS ]
Towards Collision Avoidance on Ski Slopes Thomas Holleczek, Martin Wirz and Gerhard Tröster in: Proceedings of the 19th International Congress on Ski Trauma and Skiing Safety (ISSS 2011), Keystone, Colorado, USA, 2011 [ BiBTeXRIS ]
2010
A Methodology towards the Detection of Collective Behavior Patterns by Means of Body-Worn Sensors Martin Wirz, Daniel Roggen and Gerhard Tröster in: Workshop at the 8th International Conference on Pervasive Computing (Pervasive 2010), 2010 [ BiBTeXRISPDF
]
A wearable, ambient sound-based approach for infrastructureless fuzzy proximity estimation Martin Wirz, Daniel Roggen and Gerhard Tröster in: Proceedings of the 14th IEEE International Symposium on Wearable Computers (ISWC 2010), IEEE Computer Society, 2010 [ BiBTeXRIS ]
Collective behavior sensing: a research field in need of ultra-low-cost wearable sensor nodes Daniel Roggen, Martin Wirz and Gerhard Tröster ULC-WSN: Workshop on Ultra-Low-Cost Wireless Sensor Networks and their Applications at the INSS'10, 2010 [ BiBTeXRISPDF
]
Pervasive Computing in the Large: The SOCIONICAL Approach Kashif Zia, Alois Ferscha, Andreas Riener, Martin Wirz, Daniel Roggen, Kamil Kloch and Paul Lukowicz in: Workshop at the 8th International Conference on Pervasive Computing (Pervasive 2010), 2010 [ BiBTeXRIS ]
Scenario Based Modeling for Very Large Scale Simulations Kashif Zia, Alois Ferscha, Andreas Riener, Martin Wirz, Daniel Roggen, Kamil Kloch and Paul Lukowicz (2010), in: Distributed Simulation and Real Time Applications, IEEE/ACM International Symposium on [ BiBTeXRISDOI ]
User acceptance study of a mobile system for assistance during emergency situations at large-scale events Martin Wirz, Daniel Roggen and Gerhard Tröster in: The 3rd International Conference on Human-centric Computing, 2010 [ BiBTeXRIS ]
2009
Cluestr: mobile social networking for enhanced group communication Reto Grob, Michael Kuhn, Roger Wattenhofer and Martin Wirz in: Proceedings of the ACM 2009 international conference on Supporting group work, ACM New York, NY, USA, pages 81-90, 2009 [ BiBTeXRIS ]
Decentralized Detection of Group Formations from Wearable Acceleration Sensors Martin Wirz, Daniel Roggen and Gerhard Tröster in: Proceedings of the 2009 IEEE International Conference on Social Computing, pages IEEE Press, 2009 [ BiBTeXRIS ]
2007
Automatic Artefact Compensation in EOG Signals Andreas Bulling, Philip Herter, Martin Wirz and Gerhard Tröster in: Adj. Proc. of the 2nd European Conference on Smart Sensing and Context (EuroSSC 2007), pages 12-13, 2007 [ BiBTeXRIS ]
Education
Supervisor for the Digitaltechnik course taught by Prof. Tröster. If you have any question concerning this course, you can write my an e-mail or visit me in my office.
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