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Conference Paper
A Novel Location Prediction Scheme Based on Trajectory Data
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- Authors
- Eunjung Kwon, WonJae Shin, Hyunho Park, Sungwon Byon, Eui-Suk Jung, Yong-Tae Lee, Kyu-Chul Lee
- Issue Date
- 2019-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.1292-1294
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- many of location based services using mobile devices have pervaded theses day. They provide the new opportunity of analyzing the location prediction in an innovative method by using a lots of data generated from the mobile devices. In this paper, we propose a location prediction method using sensor data generated from smartphones or wearable devices. The location prediction scheme needs to include a predictive model to guarantee with high level analysis accuracy score. There are two-step approaches with regard to this: (I) extracting feature patterns on the history of an interesting object; (II) validating results of predicting the next location of users based on users' movement patterns. To do this, we propose a novel location prediction scheme using a frequent patterns matching and similarity measurement technique while considering the location-based statistical information for providing a public safety service in the future.
- KSP Keywords
- Analysis accuracy, Feature patterns, Innovative method, Location Prediction, Location-Based Services, Mobile devices, Movement patterns, Patterns matching, Prediction methods, Prediction scheme, Predictive model