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Content Provider | IEEE Xplore Digital Library |
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Author | Lymberopoulos, D. Bamis, A. Teixeira, T. Savvides, A. |
Copyright Year | 2008 |
Description | Author affiliation: Yale Univ., New Haven, CT (Lymberopoulos, D.; Bamis, A.; Teixeira, T.; Savvides, A.) |
Abstract | In this demonstration we present the BehaviorScope, a system for interpreting human activity patterns using a sensor network and its application to elder monitoring in assisted living. The BehaviorScope provides a runtime, user-programmable framework that processes streams of timestamped sensor data along with prior context information to infer activities and generate appropriate notifications. Human activities are described in high-level scripts that are directly mapped to a hierarchy of probabilistic grammars that parse low-level sensor measurements into high-level distinguishable activities. Activities of interest are 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 and other triggered notifications that are propagated to stakeholders via email and cell-phone text messages. |
Starting Page | 533 |
Ending Page | 534 |
File Size | 313011 |
Page Count | 2 |
File Format | |
ISBN | 9780769531571 |
DOI | 10.1109/IPSN.2008.49 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-04-22 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Real time systems Runtime Humans Information processing Sensor phenomena and characterization Sensor systems and applications Spatiotemporal phenomena Data mining Remote monitoring Engines |
Content Type | Text |
Resource Type | Article |
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