BehaviorScope: Real-Time Remote Human Monitoring Using Sensor Networks
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Extracting spatiotemporal human activity patterns in assisted living using a home sensor network
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Towards precision monitoring of elders for providing assistive services
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
A methodology for extracting temporal properties from sensor network data streams
Proceedings of the 7th international conference on Mobile systems, applications, and services
Sensory grammars for sensor networks
Journal of Ambient Intelligence and Smart Environments
The BehaviorScope framework for enabling ambient assisted living
Personal and Ubiquitous Computing
Sensory grammars for sensor networks
Journal of Ambient Intelligence and Smart Environments
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In this paper we demonstrate the application of a prob- abilistic grammar-based formulation to detect complex ac- tivities from simple sensor measurements. In particular, we present a grammar hierarchy for identifying "cooking ac- tivity" from low-level location measurements in an assisted living application. Using real data from a pilot network de- ployment, we show that our system can recognize complex behaviors in a manner that is invariant across multiple dif- ferent instances of the same activity. Our experiments also demonstrate that substantial data interpretation can take place at the node level, allowing the network to operate on compact symbolic representations.