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- W185651497 abstract "The ability to find the location of a user is one of the most important components of contextual sensing. If the application field is outdoors, then a Global Positioning System (GPS) may be a powerful tool. Indoors, however, a GPS cannot be used. Accordingly, many researchers have attempted to develop a variety of systems, sensors, and techniques to find the location of a user in indoor environments [1, 2, 3]. In this paper, we propose a hybrid method to track the location of a pedestrian wearing a sensing module in an indoor environment. The proposed method employs a hybrid position measurement method: dead-reckoning for relative measurements and an infrared-based beacon method for absolute measurements. The prototype system uses a bi-axial accelerometer, a digital compass, and an infrared light detector. We also propose a step detection and classification method based on the measured acceleration data. When the system detects a new step, it updates the current position of the user via dead reckoning and heading measurements. Experimental results demonstrate the performance of the navigation system." @default.
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- W185651497 date "2001-01-01" @default.
- W185651497 modified "2023-10-17" @default.
- W185651497 title "A Personal Indoor Navigation System using Wearable Sensors" @default.
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