Paper Info
Title
A Study of Practical Causality Acquisition among Vital Signals
Abstract
According to increase in the number of sensors, the target system could be effectively controlled such as monitor and maintenance. Additionally, transparent causality among sensor signals should be importantly prerequisite for realizing that kind of solution. However, it is very hard to acquire the cause-effect structure among huge number of sensors. In this article, cause-effect structure acquisition is studied and discussed by employing visceral fat estimation of human body as an application. Cause-effect acquisition methods could be mainly classified into two types. One is based on human expertspsila knowledge and the other is using sensory data. They have different effectiveness and ineffectiveness each other. The authors propose the combinational method of them based on the notion of human-machine collaboration.
Year
DOI
Venue
2009
10.1109/ISMVL.2009.54
Naha, Okinawa
Keywords
Field
DocType
man-machine systems,medical signal processing,cause-effect structure acquisition,human body,human experts knowledge,human-machine collaboration,practical causality acquisition,sensor signals,target system,visceral fat estimation,vital signals,cause-effect structure
Causality,Computer science,Surface impedance,Electronic engineering
Conference
ISSN
ISBN
Citations 
0195-623X E-ISBN : 978-0-7695-3607-1
978-0-7695-3607-1
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Naoki Tsuchiya1246.41
Hiroshi Nakajima28912.41