Incremental Clustering Method for Recognizing User Destinations and Routes Using Smartphone Global Positioning System Sensor
- Authors
- Kim, Je-Min; Beak, Hae-Jung; Park, Young-Tack
- Issue Date
- 2015
- Publisher
- MYU, SCIENTIFIC PUBLISHING DIVISION
- Keywords
- user route; user destination; clustering; GPS; smartphone
- Citation
- SENSORS AND MATERIALS, v.27, no.8, pp.599 - 604
- Journal Title
- SENSORS AND MATERIALS
- Volume
- 27
- Number
- 8
- Start Page
- 599
- End Page
- 604
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/9848
- ISSN
- 0914-4935
- Abstract
- An effective user route identification system is a major technological capability that mobile intelligent systems can exploit. To develop such a system, data that include information about user destinations and routes are required. In this paper, we propose a method that incrementally recognizes user destinations and routes by means of logs collected from a global positioning system (GPS) sensor. Applying clustering methods to detect destinations incrementally requires defined thresholds and a strategy of cluster creation. In addition, to identify routes, a procedure for dividing GPS logs into trajectories and a function for calculating the similarity between trajectories are necessary. In this paper, we address these requirements.
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Collections - College of Information Technology > School of Computer Science and Engineering > 1. Journal Articles
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