Implementation of Virtual Sensors in Body Sensor Networks with the SPINE Framework Conference Paper

abstract

• Signal processing for Body Sensor Networks usually comprises multiple levels of data abstraction, from raw sensor data to data calculated from processing steps such as feature extraction and classification.This paper presents a multi-layer task model based on the concept of Virtual Sensors (VS) to improve architecture modularity and design reusability.In our pilot application of gait parameter extraction, VS are abstractions of components of BSN classification systems that include sensor sampling and processing tasks and provide data upon external requests analogous to the function of physical sensors.The paper presents an extension of the SPINE Framework including a new buffer management scheme that facilitates the VS implementation. 2009 IEEE.

name of conference

• 2009 IEEE International Symposium on Industrial Embedded Systems

authors

• Jafari, Roozbeh

published proceedings

• 2009 IEEE International Symposium on Industrial Embedded Systems

author list (cited authors)

• Raveendranathan, N., Loseu, V., Guenterberg, E., Giannantonio, R., Gravina, R., Sgroi, M., & Jafari, R.

citation count

• 4

complete list of authors

• Raveendranathan, Nikhil||Loseu, Vitali||Guenterberg, Eric||Giannantonio, Roberta||Gravina, Raffaele||Sgroi, Marco||Jafari, Roozbeh

publication date

• July 2009

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

Digital Object Identifier (DOI)

• 10.1109/sies.2009.5196204

International Standard Book Number (ISBN) 13

• 9781424441105

start page

• 124

end page

• 127

URL

• http://dx.doi.org/10.1109/sies.2009.5196204