Data Fusion Research of Triaxial Human Body Motion Gesture based on Decision Tree

The development status of human body motion gesture data fusion domestic and overseas has been analyzed. A triaxial accelerometer is adopted to develop a wearable human body motion gesture monitoring system aimed at old people healthcare. On the basis of a brief introduction of decision tree algorit...

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Main Author: Feihong Zhou
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2014-05-01
Series:Sensors & Transducers
Subjects:
Online Access:http://www.sensorsportal.com/HTML/DIGEST/may_2014/Vol_171/P_RP_0131.pdf
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spelling doaj-1461ea1c1f6144f5867542e81cfc72a72020-11-24T21:56:54ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792014-05-011715190195 Data Fusion Research of Triaxial Human Body Motion Gesture based on Decision TreeFeihong Zhou0School of Electrical & Information Engineering, Hunan International Economics University, Changsha, 410205, ChinaThe development status of human body motion gesture data fusion domestic and overseas has been analyzed. A triaxial accelerometer is adopted to develop a wearable human body motion gesture monitoring system aimed at old people healthcare. On the basis of a brief introduction of decision tree algorithm, the WEKA workbench is adopted to generate a human body motion gesture decision tree. At last, the classification quality of the decision tree has been validated through experiments. The experimental results show that the decision tree algorithm could reach an average predicting accuracy of 97.5 % with lower time cost. http://www.sensorsportal.com/HTML/DIGEST/may_2014/Vol_171/P_RP_0131.pdfDecision treeMotion gestureData fusionBody wearHealth care.
collection DOAJ
language English
format Article
sources DOAJ
author Feihong Zhou
spellingShingle Feihong Zhou
Data Fusion Research of Triaxial Human Body Motion Gesture based on Decision Tree
Sensors & Transducers
Decision tree
Motion gesture
Data fusion
Body wear
Health care.
author_facet Feihong Zhou
author_sort Feihong Zhou
title Data Fusion Research of Triaxial Human Body Motion Gesture based on Decision Tree
title_short Data Fusion Research of Triaxial Human Body Motion Gesture based on Decision Tree
title_full Data Fusion Research of Triaxial Human Body Motion Gesture based on Decision Tree
title_fullStr Data Fusion Research of Triaxial Human Body Motion Gesture based on Decision Tree
title_full_unstemmed Data Fusion Research of Triaxial Human Body Motion Gesture based on Decision Tree
title_sort data fusion research of triaxial human body motion gesture based on decision tree
publisher IFSA Publishing, S.L.
series Sensors & Transducers
issn 2306-8515
1726-5479
publishDate 2014-05-01
description The development status of human body motion gesture data fusion domestic and overseas has been analyzed. A triaxial accelerometer is adopted to develop a wearable human body motion gesture monitoring system aimed at old people healthcare. On the basis of a brief introduction of decision tree algorithm, the WEKA workbench is adopted to generate a human body motion gesture decision tree. At last, the classification quality of the decision tree has been validated through experiments. The experimental results show that the decision tree algorithm could reach an average predicting accuracy of 97.5 % with lower time cost.
topic Decision tree
Motion gesture
Data fusion
Body wear
Health care.
url http://www.sensorsportal.com/HTML/DIGEST/may_2014/Vol_171/P_RP_0131.pdf
work_keys_str_mv AT feihongzhou datafusionresearchoftriaxialhumanbodymotiongesturebasedondecisiontree
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