Movement Awareness for a Sentient Environment
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Wearable sensing to annotate meeting recordings
Personal and Ubiquitous Computing
Acquiring in situ training data for context-aware ubiquitous computing applications
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Modeling and simulating electronic textile applications
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Gesture spotting using wrist worn microphone and 3-axis accelerometer
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Activity recognition system for mobile phones using the MotionBand device
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Multimedia Tools and Applications
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UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Gestures are strings: efficient online gesture spotting and classification using string matching
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Mobile Networks and Applications
Activity recognition from accelerometer data
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
Context awareness inference engine for location based applications
Proceedings of the 2009 International Conference on Hybrid Information Technology
Wearable automatic feedback devices for physical activities
BodyNets '09 Proceedings of the Fourth International Conference on Body Area Networks
Using mobile phones to determine transportation modes
ACM Transactions on Sensor Networks (TOSN)
Mobile Context Provider for Social Networking
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
Personalized life log media system in ubiquitous environment
ICUCT'06 Proceedings of the 1st international conference on Ubiquitous convergence technology
Sensing motion using spectral and spatial analysis of WLAN RSSI
EuroSSC'07 Proceedings of the 2nd European conference on Smart sensing and context
Providing user context for mobile and social networking applications
Pervasive and Mobile Computing
Inferring motion and location using WLAN RSSI
MELT'09 Proceedings of the 2nd international conference on Mobile entity localization and tracking in GPS-less environments
Detecting intra-room mobility with signal strength descriptors
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Detecting activities from body-worn accelerometers via instance-based algorithms
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Preprocessing techniques for context recognition from accelerometer data
Personal and Ubiquitous Computing
Monitoring Parkinson's disease patients employing biometric sensors and rule-based data processing
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Fast, accurate event classification on resource-lean embedded sensors
EWSN'11 Proceedings of the 8th European conference on Wireless sensor networks
From motion to emotion: a wearable system for the multimedia enrichment of a Butoh dace performance
Journal of Mobile Multimedia
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LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
Detecting and interpreting muscle activity with wearable force sensors
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
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ARCS'06 Proceedings of the 19th international conference on Architecture of Computing Systems
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Computer Communications
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Multi-Dimensional Relational Sequence Mining
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
Development of a single 3-axis accelerometer sensor based wearable gesture recognition band
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ACM Computing Surveys (CSUR)
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
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In this paper, we describe continuing work being carried out as part of the Bristol Wearable Computing Initiative. We are researching processing techniques for data from accelerometers, which enable the wearable computer to determine the user's activity. Techniques already employed by others have been explored and we propose new methods for analyzing the data delivered by these devices. We try to minimize the number of devices needed by using a single X-Y accelerometer device. Using our techniques we have adapted our GPS based Tourist Guide application to vary it's multimedia presentation according to the user's activity as well as location.