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http://dx.doi.org/10.13160/ricns.2017.10.3.162

Design of Case-based Intelligent Wheelchair Monitoring System  

Kim, Tae Yeun (Department of Computer Science & Statistics, Chosun University)
Seo, Dae Woong (Department of Computer Science & Statistics, Chosun University)
Bae, Sang Hyun (Department of Computer Science & Statistics, Chosun University)
Publication Information
Journal of Integrative Natural Science / v.10, no.3, 2017 , pp. 162-170 More about this Journal
Abstract
In this paper, it is aim to implement a wheelchair monitoring system that provides users with customized medical services easily in everyday life, together with mobility guarantee, which is the most basic requirement of the elderly and disabled persons with physical disabilities. The case-based intelligent wheelchair monitoring system proposed in this study is based on a case-based k-NN algorithm, which implements a system for constructing and inferring examples of various biometric and environmental information of wheelchair users as a knowledge database and a monitoring interface for wheelchair users. In order to confirm the usefulness of the case-based k-NN algorithm, the SVM algorithm showed an average accuracy of 84.2% and the average accuracy of the proposed case-based k-NN algorithm was 86.2% And showed higher performance in terms of accuracy. The system implemented in this paper has the advantage of measuring biometric information and data communication regardless of time and place and it can provide customized service of wheelchair user through user friendly interface.
Keywords
Case-based Reasoning; Wheelchair System; Biometrics Sensor; Monitoring System; SVM Algorithm; k-NN Algorithm;
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Times Cited By KSCI : 1  (Citation Analysis)
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