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ORCIDMartin Wirz
Person information
- affiliation: ETH Zurich, Switzerland
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Books and Theses
- 2013
[b1]Martin Wirz:
Crowd context recognition with wearable sensors. ETH Zurich, Zürich, Switzerland, 2013
Journal Articles
- 2013
- [j2]Martin Wirz, Tobias Franke, Daniel Roggen
, Eve Mitleton-Kelly, Paul Lukowicz, Gerhard Tröster:
Probing crowd density through smartphones in city-scale mass gatherings. EPJ Data Sci. 2(1): 5 (2013) - 2011
- [j1]Daniel Roggen, Martin Wirz, Gerhard Tröster, Dirk Helbing:
Recognition of crowd behavior from mobile sensors with pattern analysis and graph clustering methods. Networks Heterog. Media 6(3): 521-544 (2011)
Conference and Workshop Papers
- 2014
- [c13]Dawud Gordon, Martin Wirz, Daniel Roggen, Gerhard Tröster, Michael Beigl:
Group affiliation detection using model divergence for wearable devices. ISWC 2014: 19-26 - 2013
- [c12]Tobias Franke, Paul Lukowicz, Martin Wirz, Eve Mitleton-Kelly:
Participatory sensing and crowd management in public spaces. MobiSys 2013: 485-486 - [c11]Mikkel Baun Kjærgaard, Henrik Blunck, Markus Wüstenberg, Kaj Grønbæk, Martin Wirz, Daniel Roggen, Gerhard Tröster:
Time-lag method for detecting following and leadership behavior of pedestrians from mobile sensing data. PerCom 2013: 56-64 - 2012
- [c10]Mikkel Baun Kjærgaard, Martin Wirz, Daniel Roggen, Gerhard Tröster:
Detecting pedestrian flocks by fusion of multi-modal sensors in mobile phones. UbiComp 2012: 240-249 - [c9]Kristian Cujia, Martin Wirz, Mikkel Baun Kjærgaard, Daniel Roggen, Gerhard Tröster:
DactyLoc: A minimally geo-referenced WiFi+GSM-fingerprint-based localization method for positioning in urban spaces. IPIN 2012: 1-9 - [c8]Mikkel Baun Kjærgaard, Martin Wirz, Daniel Roggen, Gerhard Tröster:
Mobile sensing of pedestrian flocks in indoor environments using WiFi signals. PerCom 2012: 95-102 - [c7]Martin Wirz, Tobias Franke, Daniel Roggen, Eve Mitleton-Kelly, Paul Lukowicz, Gerhard Tröster:
Inferring Crowd Conditions from Pedestrians' Location Traces for Real-Time Crowd Monitoring during City-Scale Mass Gatherings. WETICE 2012: 367-372 - 2011
- [c6]Martin Wirz, Pablo Schläpfer, Mikkel Baun Kjærgaard, Daniel Roggen, Sebastian Feese, Gerhard Tröster:
Towards an online detection of pedestrian flocks in urban canyons by smoothed spatio-temporal clustering of GPS trajectories. GIS-LBSN 2011: 17-24 - [c5]Michael Kuhn, Roger Wattenhofer, Martin Wirz, Matthias Flückiger, Gerhard Tröster:
Sensing Dance Engagement for Collaborative Music Control. ISWC 2011: 51-54 - 2010
- [c4]Kashif Zia, Alois Ferscha, Andreas Riener, Martin Wirz, Daniel Roggen, Kamil Kloch, Paul Lukowicz:
Scenario Based Modeling for Very Large Scale Simulations. DS-RT 2010: 103-110 - [c3]Martin Wirz, Daniel Roggen, Gerhard Tröster:
A wearable, ambient sound-based approach for infrastructureless fuzzy proximity estimation. ISWC 2010: 1-4 - 2009
- [c2]Martin Wirz, Daniel Roggen, Gerhard Tröster:
Decentralized Detection of Group Formations from Wearable Acceleration Sensors. CSE (4) 2009: 952-959 - [c1]Reto Grob, Michael Kuhn, Roger Wattenhofer, Martin Wirz:
Cluestr: mobile social networking for enhanced group communication. GROUP 2009: 81-90
Informal and Other Publications
- 2011
- [i1]Daniel Roggen, Martin Wirz, Gerhard Tröster, Dirk Helbing:
Recognition of Crowd Behavior from Mobile Sensors with Pattern Analysis and Graph Clustering Methods. CoRR abs/1109.1664 (2011)
Coauthor Index
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