The Use of Background Knowledge in Decision Tree Induction
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Algorithmic transforms for efficient energy scalable computation
ISLPED '00 Proceedings of the 2000 international symposium on Low power electronics and design
Machine Learning and Data Mining; Methods and Applications
Machine Learning and Data Mining; Methods and Applications
Designing a Home of the Future
IEEE Pervasive Computing
Gait analysis for classification
Gait analysis for classification
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Acquiring in situ training data for context-aware ubiquitous computing applications
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Energy-efficient surveillance system using wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
An analysis of a large scale habitat monitoring application
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Hardware design experiences in ZebraNet
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Adaptive sampling for sensor networks
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
Proceedings of the 3rd international conference on Embedded networked sensor systems
A Mathematical Theory of Communication
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Detection Performance and Energy Efficiency of Sequential Detection in a Sensor Network
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 09
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
eSENSE: energy efficient stochastic sensing framework scheme for wireless sensor platforms
Proceedings of the 5th international conference on Information processing in sensor networks
A compact modular wireless sensor platform
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Design of a wireless sensor network platform for detecting rare, random, and ephemeral events
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
A platform for ubiquitous sensor deployment in occupational and domestic environments
Proceedings of the 6th international conference on Information processing in sensor networks
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Proceedings of the 5th international conference on Embedded networked sensor systems
Journal of Artificial Intelligence Research
A practical approach to recognizing physical activities
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Emerging techniques for long lived wireless sensor networks
IEEE Communications Magazine
Reducing energy consumption of multi-channel mobile medical monitoring algorithms
Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments
Proceedings of the 3rd ACM International Workshop on Context-Awareness for Self-Managing Systems
Sensor selection for energy-efficient ambulatory medical monitoring
Proceedings of the 7th international conference on Mobile systems, applications, and services
Optimal Allocation of Time-Resources for Multihypothesis Activity-Level Detection
DCOSS '09 Proceedings of the 5th IEEE International Conference on Distributed Computing in Sensor Systems
Optimal time-resource allocation for activity-detection via multimodal sensing
BodyNets '09 Proceedings of the Fourth International Conference on Body Area Networks
Challenges in ubiquitous context recognition with personal mobile devices
Proceedings of the 4th ACM International Workshop on Context-Awareness for Self-Managing Systems
AutoWitness: locating and tracking stolen property while tolerating GPS and radio outages
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
AutoWitness: Locating and tracking stolen property while tolerating GPS and radio outages
ACM Transactions on Sensor Networks (TOSN)
KNOWME: An Energy-Efficient Multimodal Body Area Network for Physical Activity Monitoring
ACM Transactions on Embedded Computing Systems (TECS) - Special Section on CAPA'09, Special Section on WHS'09, and Special Section VCPSS' 09
ACM Transactions on Embedded Computing Systems (TECS)
An energy efficient model for monitoring and detecting atrial fibrillation in wearable computing
Proceedings of the 7th International Conference on Body Area Networks
ACM Transactions on Embedded Computing Systems (TECS)
Activity recognition for creatures of habit
Personal and Ubiquitous Computing
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This paper presents a framework for power-efficient detection in embedded sensor systems. State detection is structured as a decision tree classifier that dynamically orders the activation and adjusts the sampling rate of the sensors (termed groggy wakeup), such that only the data necessary to determine the system state is collected at any given time. This classifier can be tuned to trade-off accuracy and power in a structured, parameterized fashion. An embedded instantiation of these classifiers, including real-time sensor control, is described. An application based on a wearable gait monitor provides quantitative support for this framework. The decision tree classifiers achieved roughly identical detection accuracies to those obtained using support vector machines while drawing three times less power. Both simulation and real-time operation of the classifiers demonstrate that our multi-tiered classifier determines states as accurately as a single-trigger (binary) wakeup system while drawing as little as half as much power and with only a negligible increase in latency.