A sensory grammar for inferring behaviors in sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
Detecting Patterns for Assisted Living Using Sensor Networks: A Case Study
SENSORCOMM '07 Proceedings of the 2007 International Conference on Sensor Technologies and Applications
eShare: a capacitor-driven energy storage and sharing network for long-term operation
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Time handling for real-time progressive activity recognition
Proceedings of the 2011 international workshop on Situation activity & goal awareness
Human behavior analysis in ubiquitous environments for energy efficiency improvement
AmI'11 Proceedings of the Second international conference on Ambient Intelligence
Smart sensing system for human emotion and behaviour recognition
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
Achieving long-term operation with a capacitor-driven energy storage and sharing network
ACM Transactions on Sensor Networks (TOSN)
Dynamic sensor data segmentation for real-time knowledge-driven activity recognition
Pervasive and Mobile Computing
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In this demonstration we present the Behavior Scope, a system for interpreting human activity patterns using a sensor network and its application to elder monitoring in assisted living. The Behavior Scope provides a runtime,user-programmable framework that processes streams of timestamped sensor data along with prior context informationto infer activities and generate appropriate notifications. Human activities are described in high-levelscripts that are directly mapped to a hierarchy of probabilistic grammars that parse low-level sensor measurements into high-level distinguishable activities. Activities of interestare pre-programmed into a specification that is used by the system to interpret the incoming sensor data stream. The system interprets the activities to generate summaries andother triggered notifications that are propagated to stakeholders via email and cell-phone text messages.