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Displaying 1-27 out of 27 total
ISWC 2013--Wearables Are Here to Stay
Found in: IEEE Pervasive Computing
By Daniel Roggen,Daniel Gatica Perez,Masaaki Fukumoto,Kristof van Laerhoven
Issue Date:January 2014
pp. 14-18
The 17th edition of the IEEE International Symposium on Wearable Computers (ISWC) was a tremendous success. With 17 years of history, it was the perfect place to get a sense of what has been achieved, where our community stands today, and what lies ahead.
 
On-Body Sensing: From Gesture-Based Input to Activity-Driven Interaction
Found in: Computer
By Paul Lukowicz, Oliver Amft, Daniel Roggen, Jingyuan Cheng
Issue Date:October 2010
pp. 92-96
Unobtrusive body-worn sensors can continuously interpret user activity and react proactively in sports, personal health, and many other application areas.
 
Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems across Sensor Modalities
Found in: 2012 16th Annual International Symposium on Wearable Computers (ISWC)
By Oresti Banos,Alberto Calatroni,Miguel Damas,Hector Pomares,Ignacio Rojas,Hesam Sagha,Jose del R. Mill´n,Gerhard Troster,Ricardo Chavarriaga,Daniel Roggen
Issue Date:June 2012
pp. 92-99
We propose a method to automatically translate a preexisting activity recognition system, devised for a source sensor domain S, so that it can operate on a newly discovered target sensor domain T, possibly of different modality. First, we use MIMO system i...
 
Inferring Crowd Conditions from Pedestrians' Location Traces for Real-Time Crowd Monitoring during City-Scale Mass Gatherings
Found in: 2012 IEEE 21st International Workshop On Enabling Technologies: Infrastructure For Collaborative Enterprises (WETICE)
By Martin Wirz,Tobias Franke,Daniel Roggen,Eve Mitleton-Kelly,Paul Lukowicz,Gerhard Troster
Issue Date:June 2012
pp. 367-372
There is a need for event organizers and emergency response personnel to detect emerging, potentially critical crowd situations at an early stage during city-wide mass gatherings. In this work, we introduce and describe mathematical methods based on pedest...
 
Incremental kNN Classifier Exploiting Correct-Error Teacher for Activity Recognition
Found in: Machine Learning and Applications, Fourth International Conference on
By Kilian Förster, Samuel Monteleone, Alberto Calatroni, Daniel Roggen, Gerhard Tröster
Issue Date:December 2010
pp. 445-450
Non-stationary data distributions are a challenge in activity recognition from body worn motion sensors. Classifier models have to be adapted online to maintain a high recognition performance. Typical approaches for online learning are either unsupervised ...
 
Scenario Based Modeling for Very Large Scale Simulations
Found in: Distributed Simulation and Real Time Applications, IEEE/ACM International Symposium on
By Kashif Zia, Alois Ferscha, Andreas Riener, Martin Wirz, Daniel Roggen, Kamil Kloch, Paul Lukowicz
Issue Date:October 2010
pp. 103-110
In order to develop complexity science based modeling, prediction and simulation methods for large scale socio-technical systems in an Ambient Intelligence (AmI) based smart environment, we propose a scenario based modeling approach. With a case study on A...
 
An Educational and Research Kit for Activity and Context Recognition from On-body Sensors
Found in: Wearable and Implantable Body Sensor Networks, International Workshop on
By Daniel Roggen, Marc Bächlin, Johannes Schumm, Thomas Holleczek, Clemens Lombriser, Gerhard Tröster, Lars Widmer, Dennis Majoe, Jürg Gutknecht
Issue Date:June 2010
pp. 277-282
We present an educational and research kit to support hands-on teaching and experience of real-time activity or gesture recognition from on-body sensors. The kit is comprised of: wireless wearable sensor nodes for motion and ECG sensing; software infrastru...
 
What's in the Eyes for Context-Awareness?
Found in: IEEE Pervasive Computing
By Andreas Bulling, Daniel Roggen, Gerhard Troster
Issue Date:April 2011
pp. 48-57
<p>Eye movements are a rich source of information about a person's context. Analyzing the link between eye movements and cognition might even allow us to develop cognition-aware pervasive computing systems that assess a person's cognitive context.<...
 
Potentials of Enhanced Context Awareness in Wearable Assistants for Parkinson's Disease Patients with the Freezing of Gait Syndrome
Found in: Wearable Computers, IEEE International Symposium
By Marc Bächlin, Daniel Roggen, Gerhard Tröster, Meir Plotnik, Noit Inbar, Inbal Meidan, Talia Herman, Marina Brozgol, Eliya Shaviv, Nir Giladi, Jeffrey M. Hausdorff
Issue Date:September 2009
pp. 123-130
Freezing of gait (FOG) is a common gait deficit in advanced Parkinson’s disease (PD). It is often a cause of falls, interferes with daily activities and significantly impairs quality of life. Gait deficits in PD patients are often resistant to pharmacologi...
 
Unsupervised Classifier Self-Calibration through Repeated Context Occurences: Is there Robustness against Sensor Displacement to Gain?
Found in: Wearable Computers, IEEE International Symposium
By Kilian Förster, Daniel Roggen, Gerhard Tröster
Issue Date:September 2009
pp. 77-84
Achieving a robust recognition of physical activities or gestures despite variability in sensor placement is highly important for the real-world deployment of wearable context-aware systems.It provides robustness against unintentional displacement of senso...
 
Towards an Interactive Snowboarding Assistance System
Found in: Wearable Computers, IEEE International Symposium
By Thomas Holleczek, Christoph Zysset, Bert Arnrich, Daniel Roggen, Gerhard Tröster
Issue Date:September 2009
pp. 147-148
Snowboarding is one of the fastest growing sports in the world. However, it is rather difficult to learn. Snowboarders, who have reached an average level of expertise, often find it difficult to improve their style without taking expensive private lessons....
 
Decentralized Detection of Group Formations from Wearable Acceleration Sensors
Found in: Computational Science and Engineering, IEEE International Conference on
By Martin Wirz, Daniel Roggen, Gerhard Tröster
Issue Date:August 2009
pp. 952-959
We propose an approach for detecting collectivebehavior patterns using body-worn sensors in a decentralized,online manner. To reduce complexity, we introduce a set ofcollective behavior primitives as building blocks, adequate fordetection by sensing and co...
 
Wearable Activity Tracking in Car Manufacturing
Found in: IEEE Pervasive Computing
By Thomas Stiefmeier, Daniel Roggen, Georg Ogris, Paul Lukowicz, Gerhard Tröster
Issue Date:April 2008
pp. 42-50
In an industrial scenario, a context-aware wearable computing system could support a production or maintenance worker. The system could recognize the worker's actions and deliver just-in-time information about activities the worker is to perform. This arti...
 
Fusion of String-Matched Templates for Continuous Activity Recognition
Found in: Wearable Computers, IEEE International Symposium
By Thomas Stiefmeier, Daniel Roggen, Gerhard Troster
Issue Date:October 2007
pp. 1-4
This paper describes a new method for continuous activity recognition based on fusion of string-matched activity templates. The underlying segmentation and spotting approach is carried out on several symbol streams in parallel. These streams represent moti...
 
Prototyping with a Bio-Inspired Reconfigurable Chip
Found in: Rapid System Prototyping, IEEE International Workshop on
By Yann Thoma, Eduardo Sanchez, Daniel Roggen, Carl Hetherington, Juan-Manuel Moreno
Issue Date:June 2004
pp. 239-246
In this paper we explain how the POEtic chip can be used for rapid prototyping. The POEtic chip, currently in the test phase, is a system-on-chip (SoC) containing a microprocessor and a reconfigurable array. Special features allow the dynamic creation of d...
 
Hardware spiking neural network with run-time reconfigurable connectivity in
Found in: Evolvable Hardware, NASA/DoD Conference on
By Daniel Roggen, Stephane Hofmann, Yann Thoma, Dario Floreano
Issue Date:July 2003
pp. 199
A cellular hardware implementation of a spiking neural network with run-time reconfigurable connectivity is presented. It is implemented on a compact custom FPGA board which provides a powerful reconfigurable hardware platform for hardware and software des...
 
Time-lag method for detecting following and leadership behavior of pedestrians from mobile sensing data
Found in: 2013 IEEE International Conference on Pervasive Computing and Communications (PerCom)
By Mikkel Baun Kjargaard,Henrik Blunck,Markus Wustenberg,Kaj Gronbask,Martin Wirz,Daniel Roggen,Gerhard Troster
Issue Date:March 2013
pp. 56-64
The vast availability of mobile phones with built-in movement and location sensors enable the collection of detailed information about human movement even indoors. As mobility is a key element of many processes and activities, an interesting class of infor...
   
Chairs' summary/proposal for international workshop on human activity sensing corpus and its application (hasca2013)
Found in: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (UbiComp '13 Adjunct)
By Daniel Roggen, Kaori Fujinami, Nobuhiko Nishio, Nobuo Kawaguchi, Susanna Pirttikangas
Issue Date:September 2013
pp. 599-604
Recent advancement of technology enables installations of small sized accelerometers or gyroscopes on various kinds of wearable/portable information devices. By using such wearable sensors, these devices can estimate its posture or status. However, most of...
     
Automatic correction of annotation boundaries in activity datasets by class separation maximization
Found in: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (UbiComp '13 Adjunct)
By Aftab Khan, Daniel Roggen, Nils Hammerla, Reuben Kirkham, Sebastian Mellor, Sourav Bhattacharya, Thomas Ploetz
Issue Date:September 2013
pp. 673-678
t is challenging to precisely identify the boundary of activities in order to annotate the activity datasets required to train activity recognition systems. This is the case for experts, as well as non-experts who may be recruited for crowd-sourcing paradi...
     
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...
     
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...
     
Recognition of visual memory recall processes using eye movement analysis
Found in: Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11)
By Andreas Bulling, Daniel Roggen
Issue Date:September 2011
pp. 455-464
Physical activity, location, as well as a person's psychophysiological and affective state are common dimensions for developing context-aware systems in ubiquitous computing. An important yet missing contextual dimension is the cognitive context that compr...
     
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...
     
Wearable EOG goggles: eye-based interaction in everyday environments
Found in: Proceedings of the 27th international conference extended abstracts on Human factors in computing systems (CHI EA '09)
By Andreas Bulling, Daniel Roggen, Gerhard Troster
Issue Date:April 2009
pp. 1-4
In this paper, we present an embedded eye tracker for context-awareness and eye-based human-computer interaction - the wearable EOG goggles. In contrast to common systems using video, this unobtrusive device relies on Electrooculography (EOG). It consists ...
     
It's in your eyes: towards context-awareness and mobile HCI using wearable EOG goggles
Found in: Proceedings of the 10th international conference on Ubiquitous computing (UbiComp '08)
By Andreas Bulling, Daniel Roggen, Gerhard Troster
Issue Date:September 2008
pp. N/A
In this work we describe the design, implementation and evaluation of a novel eye tracker for context-awareness and mobile HCI applications. In contrast to common systems using video cameras, this compact device relies on Electrooculography (EOG). It consi...
     
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