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For accurate indoor positioning, a heading estimation method that does not depend on smartphone orientation has been developed. While prior methods require the smartphone to be fixed in a certain orientation before processing, the proposed method works with the smartphone in any orientation. We utilize gyroscope data from three axes and use a low-pass filter to eliminate movement noise. Experimental...
For accurate indoor positioning, a moving activity recognition (AR) method has been developed that is based on a smartphone's sensor data. Prior methods can only recognize moving activities if the smartphone is held in a predefined place. We propose a method that works in various holding places to increase the usability. An SVM classifier is chosen because of its strength in utilizing features. New...
Tracking people has become an important topic since it is needed to optimize human activities in commercial facilities, factories, and other business organizations. In buildings, where the Global Positioning System (GPS) lacks efficiency, there are mainly two positioning methods. One is called Fixed Indoor Positioning systems. The architecture is having fixed number of base stations which receives/sends...
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