STABLE AND CRITICAL GESTICULATION RECOGNITION IN CHILDREN AND PREGNANT WOMEN BY WEIGHTED NAÏVE BAYES CLASSIFICATION

ICTACT Journal on Communication Technology ( Volume: 5 , Issue: 4 )

Abstract

vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff59f7180000008c6e030001000600
The healthcare monitoring on a remote care taking base involves many implicit observations between the subjects and the care takers. Any deficit in domain knowledge and carelessness leads to unpleasant situations thereafter. A wearable attire system can precisely interpret the implicit communication of the state of the subject and pass it to the care takers or to an automated aid device. Casual and conventional movements of subjects during play and living condition can be used for the above purpose. The proposed system suggests a novel way of identifying safe and unsafe conditions of playing for the children where a rapid warning assistance is required. The same system is used in the case of the normal and contraction time identification of pregnant women. Naive Bayes classifier was applied on features created by different algorithms and on the combinations of features constructed by algorithms like Fractal Dimension, Fast Fourier Transformation, Singular Value Decomposition. The result shows in general that the combinational features with point system results in better classification. Especially the FFT and SVD were more supportive in all three sets of experiments and better classified by Navie Bayes classifier than the other combinations and individual features. But the complexity is high when going through the point system. When a priori based point system is introduced with a reduced complexity to replace the conventional point system, the enhanced results show a well-distinguished realization of different body movement activities using a wearable attire array and the interpretation consistently results in significant and identifiable thresholds.

Authors

N. Ravindran1, Andrews Samraj2, A. Sheryl Oliver3
Mahendra Engineering College, India1, Mahendra Engineering College, India2, VIT University, India3

Keywords

Bio-Signal Processing, Fractal Dimension, Naïve Bayes, Remote Monitoring, Wearable Computing

Published By
ICTACT
Published In
ICTACT Journal on Communication Technology
( Volume: 5 , Issue: 4 )
Date of Publication
December 2014
Pages
1025-1029

ICT Academy is an initiative of the Government of India in collaboration with the state Governments and Industries. ICT Academy is a not-for-profit society, the first of its kind pioneer venture under the Public-Private-Partnership (PPP) model

Contact Us

ICT Academy
Module No E6 -03, 6th floor Block - E
IIT Madras Research Park
Kanagam Road, Taramani,
Chennai 600 113,
Tamil Nadu, India

For Journal Subscription: journalsales@ictacademy.in

For further Queries and Assistance, write to us at: ictacademy.journal@ictacademy.in