Implementation of a Flexible Bayesian Classifier for the Assessment of Patient’s Activities within a Real-time Personalized Mobile Application

Implementation of a Flexible Bayesian Classifier for the Assessment of Patient’s Activities within a Real-time Personalized Mobile Application

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This paper presents an implementation of a mobile application that provides a real-time personalized assessment of patient’s activities by using a Flexible Bayesian Classifier. The personalized assessment is derived from data collected from the 3-axial accelerometer sensor and the counting steps sen...

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Bibliographic Details
Main Authors: V. Miskovic, D. Babic
Format: Article
Language:English
Published: D. G. Pylarinos 2017-02-01
Series:Engineering, Technology & Applied Science Research
Subjects:
activity recognition
real-time mobile application
Flexible Bayesian Classifier
Online Access:http://etasr.com/index.php/ETASR/article/download/989/452

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http://etasr.com/index.php/ETASR/article/download/989/452

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