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Displaying 1-28 out of 28 total
UbiComp 2006 Workshops, Part 1
Found in: IEEE Pervasive Computing
By John Krumm, Ken Anderson, Anxo Cereijo Roibás, Petter Bae Brandtzaeg, Veerle Van Rompaey, Urpo Tuomela, Anthony Burke, Eric Paulos, Amanda Williams, Seiie Jang, Kenji Mase, Kristof van Laerhoven, Sang-Goog Lee, Domenico Cotroneo, Cristiano di Flora
Issue Date:January 2007
pp. 92-94
This article presents summaries of four of the UbiComp 2006 Workshops: Interactive Media Systems for Seniors, Exurban Noir, Personalized Context Modeling and Management for UbiComp Applications, and System Support for Future Mobile Computing Applications. ...
 
Spine versus Porcupine: A Study in Distributed Wearable Activity Recognition
Found in: Wearable Computers, IEEE International Symposium
By Kristof Van Laerhoven, Hans-Werner Gellersen
Issue Date:November 2004
pp. 142-149
This paper seeks to explore an alternative and more embedded-oriented approach to the recognition of a person's motion and pose, using sensor types that can easily be distributed in clothing. A large proportion of this type of research so far has been carr...
 
Quantitative Analysis of Community Detection Methods for Longitudinal Mobile Data
Found in: 2013 International Conference on Social Intelligence and Technology (SOCIETY)
By Syed Agha Muhammad,Kristof Van Laerhoven
Issue Date:May 2013
pp. 47-56
Mobile phones are now equipped with increasingly large number of built-in sensors that can be utilized to collect long-term socio-temporal data of social interactions. Moreover, the data from different built-in sensors can be combined to predict social int...
 
A Feasibility Study of Wrist-Worn Accelerometer Based Detection of Smoking Habits
Found in: 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)
By Philipp M. Scholl,Kristof van Laerhoven
Issue Date:July 2012
pp. 886-891
Cigarette smoking is one of the major causes of lung cancer, and has been linked to a large amount of other cancer types and diseases. Smoking cessation, the only mean to avoid these serious risks, is hindered by the ease to ignore these risks in day-to-da...
 
ISWC 2010: The Latest in Wearable Computing Research
Found in: IEEE Pervasive Computing
By Kristof Van Laerhoven
Issue Date:January 2011
pp. 8-10
A sampling of presentations from the 14th IEEE International Symposium on Wearable Computers (ISWC) includes state-of-the-art textile-based systems, wearable applications, and wearable sensor systems.
 
Sustained logging and discrimination of sleep postures with low-level, wrist-worn sensors
Found in: Wearable Computers, IEEE International Symposium
By Kristof Van Laerhoven, Marko Borazio, David Kilian, Bernt Schiele
Issue Date:October 2008
pp. 69-76
We present a study which evaluates the use of simple low-power sensors for a long-term, coarse-grained detection of sleep postures. In contrast to the information-rich but complex recording methods used in sleep studies, we follow a paradigm closer to that...
 
Exploring semi-supervised and active learning for activity recognition
Found in: Wearable Computers, IEEE International Symposium
By Maja Stikic, Kristof Van Laerhoven, Bernt Schiele
Issue Date:October 2008
pp. 81-88
In recent years research on human activity recognition using wearable sensors has enabled to achieve impressive results on real-world data. However, the most successful activity recognition algorithms require substantial amounts of labeled training data. T...
 
Using rhythm awareness in long-term activity recognition
Found in: Wearable Computers, IEEE International Symposium
By Kristof Van Laerhoven, David Kilian, Bernt Schiele
Issue Date:October 2008
pp. 63-66
This paper reports on research where users' activities are logged for extended periods by wrist-worn sensors. These devices operated for up to 27 consecutive days, day and night, while logging features from motion, light, and temperature. This data, labele...
 
Memorizing What You Did Last Week: Towards Detailed Actigraphy With A Wearable Sensor
Found in: Distributed Computing Systems Workshops, International Conference on
By Kristof Van Laerhoven, André Kvist Aronsen
Issue Date:June 2007
pp. 47
With sensors becoming smaller and more power efficient, wearable sensors that anyone could wear are becoming a feasible concept. We demonstrate a small lightweight module, called Porcupine, which aims at continuously monitoring human activities as long as ...
 
Long-Term Activity Monitoring with a Wearable Sensor Node
Found in: Wearable and Implantable Body Sensor Networks, International Workshop on
By Kristof Van Laerhoven, Hans-W. Gellersen, Yanni G. Malliaris
Issue Date:April 2006
pp. 171-174
This paper introduces an encapsulated sensor node that is devised to monitor and record motion patterns over long, quotidian periods of time with potential application in psychological studies. Its design fuses different sensing modalities to allow efficie...
 
Real-time Analysis of Data from Many Sensors with Neural Networks
Found in: Wearable Computers, IEEE International Symposium
By Kristof Van Laerhoven, Kofi A. Aidoo, Steven Lowette
Issue Date:October 2001
pp. 115
Much research has been conducted that uses sensor-based modules with dedicated software to automatically distinguish the user's situation or context. The best results were obtained when powerful sensors (such as cameras or GPS systems) and/or sensor-specif...
 
Are You in Bed with Technology?
Found in: IEEE Pervasive Computing
By Albrecht Schmidt,Alireza Sahami Shirazi,Kristof van Laerhoven
Issue Date:October 2012
pp. 4-7
Good sleep can positively affect our performance, while a lack of sleep can affect our memory, immune system, cognitive functioning, learning abilities, and alertness. Researchers have thus investigated numerous technologies and approaches to monitor indiv...
 
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.
 
Sensor Networks for Railway Monitoring: Detecting Trains from their Distributed Vibration Footprints
Found in: 2013 IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS)
By Eugen Berlin,Kristof Van Laerhoven
Issue Date:May 2013
pp. 80-87
We report in this paper on a wireless sensor network deployment at railway tracks to monitor and analyze the vibration patterns caused by trains passing by. We investigate in particular a system that relies on having a distributed network of sensor nodes t...
 
Enabling Efficient Time Series Analysis for Wearable Activity Data
Found in: Machine Learning and Applications, Fourth International Conference on
By Kristof Van Laerhoven, Eugen Berlin, Bernt Schiele
Issue Date:December 2009
pp. 392-397
Long-term activity recognition relies on wearable sensors that log the physical actions of the wearer, so that these can be analyzed afterwards. Recent progress in this field has made it feasible to log high-resolution inertial data, resulting in increasin...
 
When Else Did This Happen? Efficient Subsequence Representation and Matching for Wearable Activity Data
Found in: Wearable Computers, IEEE International Symposium
By Kristof Van Laerhoven, Eugen Berlin
Issue Date:September 2009
pp. 101-104
In long-term activity recognition, large sets of inertial sensor data need to be analyzed in which physical actions of the sensor’s wearer are captured non-stop for weeks to months. These massive time sequences often burden the processing, and especially a...
 
Fair Dice: A Tilt and Motion-Aware Cube with a Conscience
Found in: Distributed Computing Systems Workshops, International Conference on
By Kristof Van Laerhoven, Hans-Werner Gellersen
Issue Date:July 2006
pp. 66
As an example of sensory augmentation of a tiny object, a small cube-sized die is presented that perceives rolls and records what face it lands on. It is thus able to detect bias for unfair behaviour due to its physical imperfections. On a deeper level, th...
 
What Shall We Teach Our Pants?
Found in: Wearable Computers, IEEE International Symposium
By Kristof Van Laerhoven, Ozan Cakmakci
Issue Date:October 2000
pp. 77
If a wearable device can register what the wearer is currently doing, it can anticipate and adjust its behavior to avoid redundant interaction with the user. However, the relevance and properties of the activities that should be recognized depend on both t...
 
Using time use with mobile sensor data: a road to practical mobile activity recognition?
Found in: Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia (MUM '13)
By Kristof Van Laerhoven, Marko Borazio
Issue Date:December 2013
pp. 1-10
Having mobile devices that are capable of finding out what activity the user is doing, has been suggested as an attractive way to alleviate interaction with these platforms, and has been identified as a promising instrument in for instance medical monitori...
     
When do you light a fire?: capturing tobacco use with situated wearable sensors
Found in: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (UbiComp '13 Adjunct)
By Kristof Van Laerhoven, Nagihan Kücükyildiz, Philipp M. Scholl
Issue Date:September 2013
pp. 1309-1310
The World Health Organization calls tobacco use the single most preventable cause of premature death, presenting both a personal health risk and an increased load on public healthcare systems. However, smoking cessation is often hindered by the low perceiv...
     
When do you light a fire?: capturing tobacco use with situated, wearable sensors
Found in: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (UbiComp '13 Adjunct)
By Kristof Van Laerhoven, Nagihan Kücükyildiz, Philipp M. Scholl
Issue Date:September 2013
pp. 1295-1304
An important step towards assessing smoking behavior is to detect and log smoking episodes in an unobtrusive way. Detailed information on an individual's consumption can then be used to highlight potential health risks and behavioral statistics to increase...
     
Bridging the last gap: LedTX - optical data transmission of sensor data for web-services
Found in: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (UbiComp '13 Adjunct)
By Kristof Van Laerhoven, Nagihan Kücükyildiz, Philipp M. Scholl
Issue Date:September 2013
pp. 47-50
Data transmission from small-scale data loggers such as human activity recognition sensors is an inherent system's design challenge. Interfaces based on USB or Bluetooth still require platform-dependent code on the retrieval computer system, and therefore ...
     
Improving activity recognition without sensor data: a comparison study of time use surveys
Found in: Proceedings of the 4th Augmented Human International Conference (AH '13)
By Kristof Van Laerhoven, Marko Borazio
Issue Date:March 2013
pp. 108-115
Wearable sensing systems, through their proximity with their user, can be used to automatically infer the wearer's activity to obtain detailed information on availability, behavioural patterns and health. For this purpose, classifiers need to be designed a...
     
Detecting leisure activities with dense motif discovery
Found in: Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12)
By Eugen Berlin, Kristof Van Laerhoven
Issue Date:September 2012
pp. 250-259
This paper proposes an activity inference system that has been designed for deployment in mood disorder research, which aims at accurately and efficiently recognizing selected leisure activities in week-long continuous data. The approach to achieve this re...
     
Wireless sensor networks in the wild: three practical issues after a middleware deployment
Found in: Proceedings of the 6th International Workshop on Middleware Tools, Services and Run-time Support for Networked Embedded Systems (MidSens '11)
By Alejandro Buchmann, Christian Seeger, Kristof Van Laerhoven
Issue Date:December 2011
pp. 1-6
This paper reflects on experiences in deploying middleware for a body sensor network, using commercial biosensors. Three types of issues are highlighted that arose during the deployment, which impact middleware design in particular: 1) How can the architec...
     
Coming to grips with the objects we grasp: detecting interactions with efficient wrist-worn sensors
Found in: Proceedings of the fourth international conference on Tangible, embedded, and embodied interaction (TEI '10)
By Bernt Schiele, Eugen Berlin, Jun Liu, Kristof van Laerhoven
Issue Date:January 2010
pp. 57-64
The use of a wrist-worn sensor that is able to read nearby RFID tags and the wearer's gestures has been suggested frequently as a way to both detect the objects we interact with and to identify the interaction. Making such a prototype feasible for longer-t...
     
Whac-A-Bee: a sensor network game
Found in: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems (SenSys '09)
By Alejandro Buchmann, Arthur Herzog, Bernt Schiele, Daniel Jacobi, Eugen Berlin, Kristof Van Laerhoven, Pablo Guerrero
Issue Date:November 2009
pp. 333-334
This paper illustrates both challenges and benefits found in expanding a traditional game concept to a situated environment with a distributed set of wireless sensing modules. Our pervasive game equivalent of the Whac-A-Mole game, Whac-A-Bee, retains the f...
     
A physical notice board with digital logic and display
Found in: Proceedings of the 2nd European Union symposium on Ambient intelligence (EUSAI '04)
By Hans Gellersen, Kristof Van Laerhoven, Nicolas Villar
Issue Date:November 2004
pp. 35-38
A physical notice board is augmented with digital capabilities to provide additional functionality. The notice board retains its form factor, and when used with interactive pins with controllable lights it can be used to signal to the user information abou...
     
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