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Displaying 1-20 out of 20 total
ECG Monitoring in an Airplane Seat: Appraising the Signal Quality
Found in: IEEE Pervasive Computing
By Johannes Schumm,Bert Arnrich,Gerhard Tröster
Issue Date:October 2012
pp. 28-34
A contactless electrocardiogram (ECG) system in an airplane seat aims to monitor the well-being of passengers afraid to fly, but passenger movements can disturb the signal. The authors discuss how passenger activity influences ECG signals and present a nov...
 
Quantified performance: assessing runners with sensors
Found in: XRDS: Crossroads, The ACM Magazine for Students
By Christina Strohrmann, Gerhard Tröster
Issue Date:December 2013
pp. 18-23
A look at how athletic performance can be measured outside of the laboratory.
     
Human activity recognition using social media data
Found in: Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia (MUM '13)
By Alberto Calatroni, Gerhard Tröster, Ulf Blanke, Zack Zhu
Issue Date:December 2013
pp. 1-10
Human activity recognition is a core component of context-aware, ubiquitous computing systems. Traditionally, this task is accomplished by analyzing signals of wearable motion sensors. While such signals can effectively distinguish various low-level activi...
     
Towards scalable activity recognition: adapting zero-effort crowdsourced acoustic models
Found in: Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia (MUM '13)
By Gerhard Tröster, Long-Van Nguyen-Dinh, Ulf Blanke
Issue Date:December 2013
pp. 1-10
Human activity recognition systems traditionally require a manual annotation of massive training data, which is laborious and non-scalable. An alternative approach is mining existing online crowd-sourced repositories for open-ended, free annotated training...
     
Combining crowd-generated media and personal data: semi-supervised learning for context recognition
Found in: Proceedings of the 1st ACM international workshop on Personal data meets distributed multimedia (PDM '13)
By Gerhard Tröster, Long-Van Nguyen-Dinh, Mirco Rossi, Ulf Blanke
Issue Date:October 2013
pp. 35-38
The growing ubiquity of sensors in mobile phones has opened many opportunities for personal daily activity sensing. Most context recognition systems require a cumbersome preparation by collecting and manually annotating training examples. Recently, mining ...
     
MyConverse in action: monitoring conversations using smartphones
Found in: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (UbiComp '13 Adjunct)
By Christian Käslin, Gerhard Tröster, Mirco Rossi, Oliver Amft, Sebastian Feese
Issue Date:September 2013
pp. 1307-1308
This demo presents MyConverse, a personal conversation recogniser and visualiser for Android smartphones. It uses the smartphone's microphone to continuously recognise the user's conversations during his daily life autonomously on the smartphones. MyConver...
     
Robust voice activity detection for social sensing
Found in: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (UbiComp '13 Adjunct)
By Gerhard Tröster, Sebastian Feese
Issue Date:September 2013
pp. 931-938
The speech modality is a rich source of personal information. As such, speech detection is a fundamental function of many social sensing applications. Simply the amount of speech present in our surroundings can give indications about our socialbility and c...
     
MyConverse: recognising and visualising personal conversations using smartphones
Found in: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (UbiComp '13 Adjunct)
By Christian Käslin, Gerhard Tröster, Mirco Rossi, Oliver Amft, Sebastian Feese
Issue Date:September 2013
pp. 1275-1284
MyConverse is a personal conversation recogniser and visualiser for smartphones. MyConverse uses the smartphone's microphone to continuously recognise the user's conversations during daily life. While it recognises pre-trained speakers, unknown speakers ar...
     
Monitor and understand pilgrims: data collection using smartphones and wearable devices
Found in: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (UbiComp '13 Adjunct)
By Agon Bexheti, Amir Muaremi, Gerhard Tröster, Julia Seiter
Issue Date:September 2013
pp. 679-688
Each year, millions of people visit the sacred sites in Makkah and Madinah. Even though the Hajj pilgrimage is one of the biggest annual events in the world, with many of the pilgrims reporting it as a life-changing experience, quite a little is done to ob...
     
Prior knowledge of human activities from social data
Found in: Proceedings of the 17th annual international symposium on International symposium on wearable computers (ISWC '13)
By Alberto Calatroni, Gerhard Tröster, Ulf Blanke, Zack Zhu
Issue Date:September 2013
pp. 141-142
We explore the feasibility of utilizing large, crowd-generated online repositories to construct prior knowledge models for high-level activity recognition. Towards this, we mine the popular location-based social network, Foursquare, for geo-tagged activity...
     
Activity monitoring in daily life as an outcome measure for surgical pain relief intervention using smartphones
Found in: Proceedings of the 17th annual international symposium on International symposium on wearable computers (ISWC '13)
By Bert Arnrich, Gerhard Tröster, Julia Seiter, Konrad Maurer, Lucian Macrea, Oliver Amft, Sebastian Feese
Issue Date:September 2013
pp. 127-128
We investigate the potential of a smartphone to measure a patient's change in physical activity before and after a surgical pain relief intervention. We show feasibility for our smartphone system providing physical activity from acceleration, barometer and...
     
Sensing group proximity dynamics of firefighting teams using smartphones
Found in: Proceedings of the 17th annual international symposium on International symposium on wearable computers (ISWC '13)
By Bert Arnrich, Bertolt Meyer, Gerhard Tröster, Klaus Jonas, Michael Burtscher, Sebastian Feese
Issue Date:September 2013
pp. 97-104
Firefighters work in dangerous and unfamiliar situations under a high degree of time pressure and thus team work is of utmost importance. Relying on trained automatisms, firefighters coordinate their actions implicitly by observing the actions of their tea...
     
Improved actionSLAM for long-term indoor tracking with wearable motion sensors
Found in: Proceedings of the 17th annual international symposium on International symposium on wearable computers (ISWC '13)
By Daniel Roggen, Gerhard Tröster, Michael Hardegger
Issue Date:September 2013
pp. 1-8
We present an indoor tracking system based on two wearable inertial measurement units for tracking in home and workplace environments. It applies simultaneous localization and mapping with user actions as landmarks, themselves recognized by the wearable se...
     
Engineers meet clinicians: augmenting Parkinson's disease patients to gather information for gait rehabilitation
Found in: Proceedings of the 4th Augmented Human International Conference (AH '13)
By Daniel Roggen, Eran Gazit, Gerhard Tröster, Jeffrey M. Hausdorff, Sinziana Mazilu, Ulf Blanke
Issue Date:March 2013
pp. 124-127
Many people with Parkinson's disease suffer from freezing of gait, a debilitating temporary inability to pursue walking. Rehabilitation with wearable technology is promising. State of the art approaches face difficulties in providing the needed bio-feedbac...
     
RoomSense: an indoor positioning system for smartphones using active sound probing
Found in: Proceedings of the 4th Augmented Human International Conference (AH '13)
By Gerhard Tröster, Julia Seiter, Mirco Rossi, Oliver Amft, Seraina Buchmeier
Issue Date:March 2013
pp. 89-95
We present RoomSense, a new method for indoor positioning using smartphones on two resolution levels: rooms and within-rooms positions. Our technique is based on active sound fingerprinting and needs no infrastructure. Rooms and within-rooms positions are ...
     
Detecting pedestrian flocks by fusion of multi-modal sensors in mobile phones
Found in: Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12)
By Daniel Roggen, Gerhard Tröster, Martin Wirz, Mikkel Baun Kjærgaard
Issue Date:September 2012
pp. 240-249
Previous work on the recognition of human movement patterns has mainly focused on movements of individuals. This paper addresses the joint identification of the indoor movement of multiple persons forming a cohesive whole - specifically a flock - with clus...
     
Network-Level Power-Performance Trade-Off in Wearable Activity Recognition: A Dynamic Sensor Selection Approach
Found in: ACM Transactions on Embedded Computing Systems (TECS)
By Daniel Roggen, Elisabetta Farella, Gerhard Tröster, Luca Benini, Piero Zappi
Issue Date:September 2012
pp. 1-30
Wearable gesture recognition enables context aware applications and unobtrusive HCI. It is realized by applying machine learning techniques to data from on-body sensor nodes. We present an gesture recognition system minimizing power while maintaining a run...
     
Ready-to-live: wearable computing meets fashion
Found in: Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11)
By Burcu Cinaz, Gerhard Tröster, Mirco Rossi
Issue Date:September 2011
pp. 609-610
This paper describes the Ready-to-Live project carried out at the ETH Zurich, Electronics Laboratory in collaboration with Swiss Textile College (STF) during the 2010 spring semester. The goal of the project was to provide an interdisciplinary collaboratio...
     
Out of the lab and into the woods: kinematic analysis in running using wearable sensors
Found in: Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11)
By Christina Strohrmann, Gerhard Tröster, Holger Harms, Roland Müller, Stefanie Hensler
Issue Date:September 2011
pp. 119-122
Injuries in running are often provoked by fatigue or improper technique, which are both reflected in the runner's kinematics. State of the art research on kinematics in sports is using optical motion capture systems that are inaccessible to most athletes. ...
     
Real-time detection and recommendation of thermal spots by sensing collective behaviors in paragliding
Found in: Proceedings of 1st international symposium on From digital footprints to social and community intelligence (SCI '11)
By Bernhard Gahr, Christina Strohrmann, Daniel Roggen, Fabian Hilti, Frederik Hess, Gerhard Tröster, Martin Wirz, Roman Patscheider
Issue Date:September 2011
pp. 7-12
Community intelligence is often manifested in distinct collective behavior patterns. We investigate on the exemplary use case of paragliding how real-time participatory mobile sensing can be exploited to infer collective behavior patterns and to conclude a...
     
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