Empirical RF Propagation Modeling of Human Body Motions for Activity Classification

Empirical RF Propagation Modeling of Human Body Motions for Activity Classification

"Many current and future medical devices are wearable, using the human body as a conduit for wireless communication, which implies that human body serves as a crucial part of the transmission medium in body area networks (BANs). Implantable medical devices such as Pacemaker and Cardiac Defibril...

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Bibliographic Details
Main Author: Fu, Ruijun
Other Authors: Kaveh Pahlavan, Advisor
Format: Others
Published: Digital WPI 2012
Subjects:
Energy
Entropy
Backpropagation
Probabilistic Neural Network
Support Vector Machine
k-Nearest Neighbor
Averaged Fade Duration
Level Crossing Rate
Statistical Characterization
Body Area Networks
Activity Classification
Coherence Time
Doppler Spread Spectrum
Doppler Spread
RF Propagation
Online Access:https://digitalcommons.wpi.edu/etd-theses/1130
https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=2129&context=etd-theses

Internet

https://digitalcommons.wpi.edu/etd-theses/1130
https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=2129&context=etd-theses

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