KOREASCHOLAR

The LBS(Location Based Service) technology plays an important role in reducing wastes of time, losses of human lives and economic losses by detecting the user's location in order by suggesting the optimal evacuation route of the users in case of safety accidents. We developed an algorithm to estimate indoor location, movement path and indoor location changes of smart phone users based on the built-in sensors of smartphones and the dead-reckoning algorithm for pedestrians without a connection with smart devices such as Wi-Fi and Bluetooth. Furthermore, seven different indoor movement scenarios were selected to measure the performance of this algorithm and the accuracy of the indoor location estimation was measured by comparing the actual movement route and the algorithm results of the experimenter(pedestrian) who performed the indoor movement. The experimental result showed that this algorithm had an average accuracy of 95.0%.

Abstract
1. 서 론
2. 이론적 배경
    2.1 사용자의 보행 패턴 분석
    2.2 사용자의 걸음 수 검출과 이동 거리
    2.3 필터
    2.4 사용자의 보폭 길이 예측
    2.5 사용자의 방향 추정
3. 본론
    3.1 위치 추정 알고리즘
    3.2 스마트폰 센서를 활용한 사용자의 실내위치 추정 시나리오
    3.3 시나리오에 따른 위치 추정 결과 분석
4. 결론 및 향후 연구 과제
5. References

• 이창호(인하대학교 산업경영공학과) | Chang-Ho Lee (Department of industrial Engineering, INHA University) Corresponding Author
• 조용철(한국항만연수원 인천연수원) | Yong-Chul Jho (Korea Port Training Institute Incheon)
• 진혜명(인하대학교 산업경영공학과) | Hye-Myeong Jin (Department of industrial Engineering, INHA University)
• 장정환(아이비즈시스템즈) | Jung-Hwan Jang (I-biz Systems)
• 전욱(연변대학교) | Yu Quan (Yanbian University)