지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers 한국정보과학회 학술발표논문집 한국정보과학회 2011한국컴퓨터종합학술대회 논문집 제38권 제1호(A)
- 발행연도
- 2011.6
- 수록면
- 278 - 281 (4page)
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초록· 키워드
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Mobile devices equipped with various sensors have the potential of providing context-aware services. Location is one of the most common forms of context, which can be applied to diverse applications. In this paper, we present methods for learning and predicting users’ routes between significant locations, e.g., home and workplaces, based on personal GPS data. A user’s significant locations and routes between them are learned by a set of rules as well as clustering. When the user is moving, our methods can predict which of the learned routes is being taken now. After the route prediction, the user’s next location can also be inferred. Our methods have been applied to the real GPS datasets from four subjects. For the next location prediction task, the achieved accuracy was 84.8%.
목차
ABSTRACT
1. INTRODUCTION
2. METHODS FOR POI and ROUTE LEARNING
3. NEXT LOCATION PREDICTION
4. EXPERIMENTS
5. CONCLUSION
REFERENCES
ACKNOWLEDGEMENT
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UCI(KEPA) : I410-ECN-0101-2013-569-000677324