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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2014-05-01
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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.
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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 |
_version_ |
1725856471276584960 |