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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| Format: | Article |
| Language: | English |
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IFSA Publishing, S.L.
2014-05-01
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| Series: | Sensors & Transducers |
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| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/may_2014/Vol_171/P_RP_0131.pdf |
| Summary: | 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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| ISSN: | 2306-8515 1726-5479 |