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http://dx.doi.org/10.9723/jksiis.2014.19.4.053

Application of Euclidean Distance Similarity for Smartphone-Based Moving Context Determination  

Jang, Young-Wan (금오공과대학교 소프트웨어공학과)
Kim, Byeong Man (금오공과대학교 소프트웨어공학과)
Jang, Sung Bong (금오공과대학교 소프트웨어공학과)
Shin, Yoon Sik (금오공과대학교 소프트웨어공학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.19, no.4, 2014 , pp. 53-63 More about this Journal
Abstract
Moving context determination is an important issue to be resolved in a mobile computing environment. This paper presents a method for recognizing and classifying a mobile user's moving context by Euclidean distance similarity. In the proposed method, basic data are gathered using Global Positioning System (GPS) and accelerometer sensors, and by using the data, the system decides which moving situation the user is in. The decided situation is one of the four categories: stop, walking, run, and moved by a car. In order to evaluate the effectiveness and feasibility of the proposed scheme, we have implemented applications using several variations of Euclidean distance similarity on the Android system, and measured the accuracies. Experimental results show that the proposed system achieves more than 90% accuracy.
Keywords
Moving Context Recognized; Context Awareness Computing; 2 Point Euclidean Distance; Moving Context Determination;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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