원문정보
초록
영어
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.
목차
1. Introduction
2. Related Research
2.1. Case-based Reasoning
2.2. k-NN Algorithm
2.3. SVM Algorithm
3. System Configuration and Design
3.1. Bio Sensor Module
3.2. XBee Wireless Communication
3.3. Case Database Design
3.4. Data Modeling
3.5. Similarity Measurement
3.6. User Interface
4. Implementation Result of System
5. Performance Evaluation
6. Conclusions
Acknowledgements
References