Please use this identifier to cite or link to this item:
Title: BehaviorScope: Real-Time Remote Human Monitoring Using Sensor Networks
Authors: Lymberopoulos, Dimitrios K.
Bamis, Athanasios
Teixeira, Thiago
Savvides, Andreas 
Issue Date: 2008
Publisher: IEEE
Source: Information Processing in Sensor Networks, 2008. IPSN '08. International Conference on, pp. 533-534
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.
ISBN: 9780769531571
DOI: 10.1109/IPSN.2008.49
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

Show full item record

Citations 10

checked on Nov 16, 2017

Page view(s)

Last Week
Last month
checked on Nov 20, 2017

Google ScholarTM



This item is licensed under a Creative Commons License Creative Commons