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Displaying 1-29 out of 29 total
Smart Energy Systems
Found in: IEEE Pervasive Computing
By Oliver Amft, Richard Medland, Marcus Foth, Petromil Petkov, Joana Abreu, Francisco Câmara Pereira, Philip Johnson, Robert Brewer, James Pierce, Eric Paulos
Issue Date:January 2011
pp. 63-65
Six works in progress look at various projects to differentiate energy-use patterns and otherwise refine options for managing energy systems intelligently and autonomously. This department is part of a special issue on smart energy systems.
Service-Oriented Architecture for Smart Environments (Short Paper)
Found in: 2013 IEEE 6th International Conference on Service-Oriented Computing and Applications (SOCA)
By Viktoriya Degeler,Luis I. Lopera Gonzalez,Mariano Leva,Paul Shrubsole,Silvia Bonomi,Oliver Amft,Alexander Lazovik
Issue Date:December 2013
pp. 99-104
The advances of pervasive technology offer new standards for user comfort by adding intelligence to ubiquitous home and office appliances. With intelligence being the core of some newly constructed buildings, it is important to design a scalable, robust, c...
Smart Textiles: From Niche to Mainstream
Found in: IEEE Pervasive Computing
By Jingyuan Cheng,Paul Lukowicz,Niels Henze,Albrecht Schmidt,Oliver Amft,Giovanni A. Salvatore,Gerhard Troster
Issue Date:July 2013
pp. 81-84
Current technology supports only special-purpose, low-volume textiles, garments, and electronics. Moreover, the textile, electronic, and software industries have different product cycles, cultures, and price models, creating scores of practical problems fo...
Monitoring Stress Arousal in the Wild
Found in: IEEE Pervasive Computing
By Martin Kusserow,Oliver Amft,Gerhard Troster
Issue Date:April 2013
pp. 28-37
Wearable sensors can provide continuous biosignal measurements, which systems can use to infer psychological stress arousal. The authors deploy such sensors to monitor a public speaker, an on-stage musician, an Olympic ski jumper, and people during everyda...
Recognizing Daily Life Context Using Web-Collected Audio Data
Found in: 2012 16th Annual International Symposium on Wearable Computers (ISWC)
By Mirco Rossi,Gerhard Troster,Oliver Amft
Issue Date:June 2012
pp. 25-28
This work presents an approach to model daily life contexts from web-collected audio data. Being available in vast quantities from many different sources, audio data from the web provides heterogeneous training data to construct recognition systems. Crowd-...
Self-Taught Learning for Activity Spotting in On-body Motion Sensor Data
Found in: Wearable Computers, IEEE International Symposium
By Oliver Amft
Issue Date:June 2011
pp. 83-86
Activity spotting has shown to be a highly beneficial approach in context recognition, however lacking robustness limits its widespread use. This work introduces the concept of self-taught learning to activity spotting, which is inspired by natural human l...
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.
Adaptive Activity Spotting Based on Event Rates
Found in: Sensor Networks, Ubiquitous, and Trustworthy Computing, International Conference on
By Oliver Amft
Issue Date:June 2010
pp. 169-176
To date many activity spotting approaches are static: once the system is trained and deployed it does not change anymore. There are substantial shortcomings of this approach, specifically spotting performance is hampered when patterns or sensor noise level...
Psychophysiological Body Activation Characteristics in Daily Routines
Found in: Wearable Computers, IEEE International Symposium
By Martin Kusserow, Oliver Amft, Gerhard Tröster
Issue Date:September 2009
pp. 155-156
We present a novel approach to analyse and model psycho-physiological body activation patterns that emerge from physical and mental activity during daily routines. We analyse our approach on a 62h dataset of daily routine recordings using acceleration and ...
Performance Analysis of an HMM-Based Gesture Recognition Using a Wristwatch Device
Found in: Computational Science and Engineering, IEEE International Conference on
By Roman Amstutz, Oliver Amft, Brian French, Asim Smailagic, Dan Siewiorek, Gerhard Tröster
Issue Date:August 2009
pp. 303-309
Interaction with mobile devices that are intended for everyday use is challenging since such systems are continuously optimized towards small outlines. Watches are a particularly critical as display size, processing capabilities, and weight are tightly con...
From Backpacks to Smartphones: Past, Present, and Future of Wearable Computers
Found in: IEEE Pervasive Computing
By Oliver Amft, Paul Lukowicz
Issue Date:July 2009
pp. 8-13
Do smart phones render wearable computers obsolete? Where does the rise of the smart phone leave wearable computing research? We answer these questions by examining past, present, and future of wearable platform research.
On-Body Sensing Solutions for Automatic Dietary Monitoring
Found in: IEEE Pervasive Computing
By Oliver Amft, Gerhard Tröster
Issue Date:April 2009
pp. 62-70
Automatic dietary monitoring uses sensors to recognize eating behavior, offering vital, continuous infor­mation about a user's food intake. Using this information, administrators can adapt and personalize weight and diet coach­ing programs. The data can al...
Rapid Prototyping of Activity Recognition Applications
Found in: IEEE Pervasive Computing
By David Bannach, Oliver Amft, Paul Lukowicz
Issue Date:April 2008
pp. 22-31
The Context Recognition Network (CRN) Toolbox permits fast implementation of activity and context recognition systems. Using parameterizable and reusable software components, it provides a broad set of online algorithms for multimodal sensor input, signal ...
Automatic Identification of Temporal Sequences in Chewing Sounds
Found in: Bioinformatics and Biomedicine, IEEE International Conference on
By Oliver Amft, Martin Kusserow, Gerhard Tröster
Issue Date:November 2007
pp. 194-201
analysis and detection of food patterns is an important component of an automatic dietary monitoring system. However chewing is a time-variable process depending on food properties. We present an automated methodology to extract sub-sequences of similar ch...
Recognizing Upper Body Postures using Textile Strain Sensors
Found in: Wearable Computers, IEEE International Symposium
By Corinne Mattmann, Oliver Amft, Holger Harms, Gerhard Troster, Frank Clemens
Issue Date:October 2007
pp. 1-8
In this paper we present a garment prototype using strain sensors to recognize upper body postures. A novel thermoplastic elastomer strain sensor was used for measuring strain in the clothing. This sensor has a linear resistance response to strain, a small...
Sensing Muscle Activities with Body-Worn Sensors
Found in: Wearable and Implantable Body Sensor Networks, International Workshop on
By Oliver Amft, Gerhard Troster, Paul Lukowicz, Corina Schuster
Issue Date:April 2006
pp. 138-141
We demonstrate that simple, unobtrusive sensors attached to the lower arm can be used to capture muscle activations during specific hand and arm activities such as grasping. Specifically, we investigate the use of force sensitive resistors and fabric stret...
Detection of eating and drinking arm gestures using inertial body-worn sensors
Found in: Wearable Computers, IEEE International Symposium
By Oliver Amft, Holger Junker, Gerhard Tr¨oster
Issue Date:October 2005
pp. 160-163
<p>We propose a two-stage recognition system for detecting arm gestures related to human meal intake. Information retrieved from such a system can be used for automatic dietary monitoring in the domain of behavioural medicine. We demonstrate that arm...
Design of the QBIC Wearable Computing Platform
Found in: Application-Specific Systems, Architectures and Processors, IEEE International Conference on
By Oliver Amft, Michael Lauffer, Stijn Ossevoort, Fabrizio Macaluso, Paul Lukowicz, Gerhard Tröster
Issue Date:September 2004
pp. 398-410
Wearable computing systems can be broadly defined as mobile electronic devices that can be unobtrusively embedded in a user's outfit as part of the garment or an accessory. Unlike conventional mobile devices, such systems shall be virtually invisible, not ...
An Interdisciplinary Approach to Designing Adaptive Lighting Environments
Found in: Intelligent Environments, International Conference on
By Remco Magielse,Philip Ross,Sunder Rao,Tanir Ozcelebi,Paola Jaramillo,Oliver Amft
Issue Date:July 2011
pp. 17-24
Due to advancements in lighting technologies new opportunities for application emerge. In this paper an interdisciplinary study towards the development of adaptive lighting environments is presented. An implementation of an adaptive lighting environment is...
Toward smartphone assisted personal rehabilitation training
Found in: XRDS: Crossroads, The ACM Magazine for Students
By Gabriele Spina, Oliver Amft
Issue Date:December 2013
pp. 33-37
When utilizing internal sensors, modern smartphones are inexpensive and powerful wearable devices for sensor data acquisition, processing, and feedback in personal daily health applications.
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...
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...
1st workshop on human factors and activity recognition in healthcare, wellness and assisted living: recognise2interact
Found in: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (UbiComp '13 Adjunct)
By Oliver Amft, Pierluigi Casale, Steven Houben
Issue Date:September 2013
pp. 1249-1254
Context-aware systems have the potential to revolutionize the way humans interact with information technology. The first workshop on Human Factors and Activity Recognition in Healthcare, Wellness and Assisted Living (Recognise2Interact) aims to enable rese...
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...
COPDTrainer: a smartphone-based motion rehabilitation training system with real-time acoustic feedback
Found in: Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing (UbiComp '13)
By Anouk Vaes, Gabriele Spina, Guannan Huang, Martijn Spruit, Oliver Amft
Issue Date:September 2013
pp. 597-606
Patient motion training requires adaptive, personalized exercise models and systems that are easy to handle. In this paper, we evaluate a training system based on a smartphone that integrates in clinical routines and serves as a tool for therapist and pati...
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 ...
A benchmark dataset to evaluate sensor displacement in activity recognition
Found in: Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12)
By Héctor Pomares, Ignacio Rojas, Máté Attila Tóth, Miguel Damas, Oliver Amft, Oresti Baños
Issue Date:September 2012
pp. 1026-1035
This work introduces an open benchmark dataset to investigate inertial sensor displacement effects in activity recognition. While sensor position displacements such as rotations and translations have been recognised as a key limitation for the deployment o...
Reducing motion artifacts for robust QRS detection in capacitive sensor arrays
Found in: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL '11)
By Aline Serteyn, Oliver Amft, Xintan Lin
Issue Date:October 2011
pp. 1-5
Non-contact capacitive ECG measurements (cECG) have applications in various unobtrusive and ubiquitous systems. However, cECG signals are frequently corrupted by interference and motion artifacts. In this work array processing methods, such as blind source...
Wearable therapist: sensing garments for supporting children improve posture
Found in: Proceedings of the 11th international conference on Ubiquitous computing (Ubicomp '09)
By Andreas Meyer-Heim, Gerhard Troster, Holger Harms, Mirjam Appert, Oliver Amft, Roland Muller
Issue Date:September 2009
pp. 85-88
This paper introduces a sensing garment to support posture coaching in children. The system measures back bending postures using acceleration sensors embedded in the garment. We present a sensing garment architecture and the evaluation of garments of diffe...