A phonological expression for physical movement monitoring in body sensor networks

Hassan Ghasemzadeh, Jaime Barnes, Eric Guenterberg, Roozbeh Jafari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

37 Scopus citations

Abstract

Monitoring human activities using wearable wireless sensor nodes has the potential to enable many useful applications for everyday situations. The deployment of a compact and computationally efficient grammatical representation of actions reduces the complexities involved in the detection and recognition of human behaviors in a distributed system. In this paper, we introduce a road map to a linguistic framework for the symbolic representation of inertial information for physical movement monitoring. Our method for creating phonetic descriptions consists of constructing primitives across the network and assigning certain primitives to each movement. Our technique exploits the notion of a decision tree to identify atomic actions corresponding to every given movement. We pose an optimization problem for the fast identification of primitives. We then prove that this problem is NP-Complete and provide a fast greedy algorithm to approximate the solution. Finally, we demonstrate the effectiveness of our phonetic model on data collected from three subjects.

Original languageEnglish (US)
Title of host publication2008 5th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2008
Pages58-68
Number of pages11
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 5th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2008 - Atlanta, GA, United States
Duration: Sep 29 2008Oct 2 2008

Publication series

Name2008 5th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2008

Other

Other2008 5th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2008
Country/TerritoryUnited States
CityAtlanta, GA
Period9/29/0810/2/08

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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