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Multi-Floor Indoor Trajectory Reconstruction Using Mobile Devices

Computer Modeling in Engineering & Sciences 2021年第9期128卷 927-948页

作者： Sultan Alamri kartini nurfalah Kiki Adhinugraha College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia School of Computing Telkom UniversityBandung40257Indonesia Computer Science and Information Technology La Trobe UniversityMelbourne3086Australia

An indoor trajectory is the path of an object moving through corridors and stairs inside a *** are various types of technologies that can be used to reconstruct the path of a moving object and detect its *** has been used for reconstruction in outdoor environments,but for indoor environments,mobile devices with embedded sensors are *** accelerometer sensor and a magnetometer sensor are used to detect human movement and reconstruct the trajectory on a single *** an indoor environment,there are many activities that will create the trajectory similar to an outdoor environment,such as passing along the corridor,going from one room to another,and other *** need to analyse trajectories to obtain the movement patterns,understand themost frequently visited places or paths used aswell as the least frequented ***,we can utilize movement patterns to obtain a better building design and *** latest studies focus on reconstructing the trajectory on a single ***,actual indoor environments are comprised of multi-floors and *** purpose of this paper is to reconstruct a trajectory in an indoor multi-floor *** have conducted extensive experiments to evaluate the performance of our proposed algorithms in a campus *** result of our experiment shows that the height of the building can be detected using a barometer sensor that gives an atmospheric pressure reading which is then transformed by setting the range value according to the number of floors,enabling the sensors to detect activity in a multi-floor *** readings obtained from the magnetometer sensor can be used to reconstruct the trajectory similar to the real path based on the direction and degree of *** system accuracy in recognizing steps in a multi-floor building is about 84%.

关键词： Reconstruction indoor trajectory multi-floor accelerometer barometer magnetometer

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