SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Context Awareness by Analyzing Accelerometer Data
ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A wireless sensor network For structural monitoring
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
SATIRE: a software architecture for smart AtTIRE
Proceedings of the 4th international conference on Mobile systems, applications and services
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Proceedings of the 4th international conference on Embedded networked sensor systems
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Health monitoring of civil infrastructures using wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
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Proceedings of the 1st ACM SIGMOBILE international workshop on Systems and networking support for healthcare and assisted living environments
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ACM SIGMOBILE Mobile Computing and Communications Review
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Proceedings of the 6th ACM conference on Embedded network sensor systems
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Proceedings of the 6th ACM conference on Embedded network sensor systems
Proceedings of the 6th ACM conference on Embedded network sensor systems
An activity recognition system for mobile phones
Mobile Networks and Applications
SoundSense: scalable sound sensing for people-centric applications on mobile phones
Proceedings of the 7th international conference on Mobile systems, applications, and services
An efficient scheme of target classification and information fusion in wireless sensor networks
Personal and Ubiquitous Computing
Mercury: a wearable sensor network platform for high-fidelity motion analysis
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Fast, accurate event classification on resource-lean embedded sensors
EWSN'11 Proceedings of the 8th European conference on Wireless sensor networks
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Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Nearest neighbor pattern classification
IEEE Transactions on Information Theory
Proceedings of the 6th International Conference on Body Area Networks
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Due to the limited computational and energy resources available on existing wireless sensor platforms, achieving high-precision classification of high-level events in-network is a challenge. In this article, we present in-network implementations of a Bayesian classifier and a condensed kd-tree classifier for identifying events of interest on resource-lean embedded sensors. The first approach uses preprocessed sensor readings to derive a multidimensional Bayesian classifier used to classify sensor data in real time. The second introduces an innovative condensed kd-tree to represent preprocessed sensor data and uses a fast nearest-neighbor search to determine the likelihood of class membership for incoming samples. Both classifiers consume limited resources and provide high-precision classification. To evaluate each approach, two case studies are considered, in the contexts of human movement and vehicle navigation, respectively. The classification accuracy is above 85% for both classifiers across the two case studies.