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학술대회 A Novel Location Prediction Scheme Based on Trajectory Data
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저자
권은정, 신원재, 박현호, 변성원, 정의석, 이용태, 이규철
발행일
201910
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.1292-1294
DOI
https://dx.doi.org/10.1109/ICTC46691.2019.8939738
협약과제
19HR1600, 다중로그 기반 멀티모달 데이터융합 분석 및 상황 대응 플랫폼 기술 개발, 이용태
초록
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.
키워드
Location Prediction, Mobile Data, Trejactory
KSP 제안 키워드
Analysis accuracy, Feature patterns, Innovative method, Location Prediction, Location-Based Services, Mobile devices, Movement pattern, Patterns matching, Prediction methods, Prediction scheme, Predictive model