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연관 분류 마이닝 기법을 활용한 지식기반신체활동 평가 모델

Title
연관 분류 마이닝 기법을 활용한 지식기반신체활동 평가 모델
Translated Title
A Knowledge Based Physical Activity Evaluation Model Using Associative Classification Mining Approach
Authors
손창식최락현강원석
DGIST Authors
손창식; 강원석
Issue Date
2018-08
Citation
대한임베디드공학회논문지, 13(4), 215-223
Type
Article
ISSN
1975-5066
Abstract
Recently, as interest of wearable devices has increased, commercially available smart wristbands and applications have been used as a tool for personal healthy management. However most previous studies have focused on evaluating the accuracy and reliability of the technical problems of wearable devices, especially step counts, walking distance, and energy consumption measured from the smart wristbands. In this study, we propose a physical activity evaluation model using classification rules, induced from the associative classification mining approach. These rules associated with five physical activities were generated by considering activities and walking times in target heart rate zones such as ‘Out-of Zone’, ‘Fat Burn Zone’, ‘Cardio Zone’, and ‘Peak Zone’. In the experiment, we evaluated the prediction power of classification rules and verified its effectiveness by comparing classification accuracies between the proposed model and support vector machine.
URI
http://hdl.handle.net/20.500.11750/9295
DOI
10.14372/IEMEK.2018.13.4.215
Publisher
대한임베디드공학회
Related Researcher
  • Author Kang, Won-Seok  
  • Research Interests Data Mining & Machine Learning for Text & Multimedia, Brain-Sense-ICTConvergence Computing, Computational Olfaction Measurement, Simulation&Modeling
Files:
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Collection:
Division of Intelligent Robot1. Journal Articles


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