relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2945/ title: Elevator Motion States Recognition Using Barometer Support Indoor Positioning System creator: Van Duong, Nguyen creator: Van Thanh, Pham creator: Van An, Tran creator: Tuan Khai, Nguyen creator: Thuy Hang, Duong Thi creator: The Hop, Hoang creator: Tran, Duc Tan subject: Electronics and Computer Engineering description: Indoor positioning is widespread applications in health monitoring, navigation and other indoor position services. There are a variety of researches that are focusing on solving indoor position problem, but most of them are using the accelerometer to solve horizontal positions. Nevertheless, there are a lot of buildings and houses that people are using the elevator in moving among the floors. Hence, it is difficult to estimate the positions in vertical when the users using the elevator in motion. This paper aimed to integrate a barometer in indoor positioning system (IPS) for elevator motion recognition and proposed a new feature name “pressure standard deviation” from barometer recording data to distinguish among elevator up, elevator down, still, stairs up, stairs down to track the position of user in vertical axis. The experimental results achieve 100% accuracy in distinguishing the state of elevator up, elevator down, still, stairs up, stairs down and estimate exactly and real-time in vertical axis. date: 2018-06-27 type: Conference or Workshop Item type: PeerReviewed format: application/pdf language: en identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2945/1/BME7_Full_text_in_PDF_53.pdf identifier: Van Duong, Nguyen and Van Thanh, Pham and Van An, Tran and Tuan Khai, Nguyen and Thuy Hang, Duong Thi and The Hop, Hoang and Tran, Duc Tan (2018) Elevator Motion States Recognition Using Barometer Support Indoor Positioning System. In: International Conference in Vietnam on the Development of Biomedical Engineering, June, 27-29, 2018, Ho Chi Minh City. (In Press) relation: http://csc.hcmiu.edu.vn/bmeconf/bme2018/