NDLI: A Foot-Mounted Sensor Based 3D Indoor Positioning Approach

Content Provider	IEEE Xplore Digital Library
Author	Lingxiang Zheng Wencheng Zhou Weiwei Tang Xianchao Zheng Hui Yang Shuxiang Pu Chenxiang Li Biyu Tang Yinong Chen
Copyright Year	2015
Description	Author affiliation: Sch. of Comput., Inf., & Decision Syst. Eng., Arizona State Univ., Tempe, AZ, USA (Yinong Chen) \|\| Sch. of Inf. Sci. & Eng., Xiamen Univ., Xiamen, China (Lingxiang Zheng; Wencheng Zhou; Weiwei Tang; Xianchao Zheng; Hui Yang; Shuxiang Pu; Chenxiang Li; Biyu Tang)
Abstract	We present a 3D indoor positioning system with foot mounted low cost MEMS sensors. The sensors includes the accelerometers, gyroscopes, and barometer. The output of accelerometers and gyroscopes are used to calculate the zero velocity update (ZUPT) and the movement of one step. The barometer is used to detect the altitude changes. A Kalman filter based framework is used to fusion the outputs of the sensors and estimate the non-linear errors of the position and heading, which increased over time. A particle filter is used to further reduce the errors. The test result shows that the designed system perform well.
Sponsorship	IEEE Comput. Soc.
Starting Page	145
Ending Page	150
File Size	428544
Page Count	6
File Format	PDF
ISBN	9781479982608
e-ISBN	9781479982615
DOI	10.1109/ISADS.2015.49
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-03-25
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kalman filters Gyroscopes Accelerometers Covariance matrices Particle filters Floors Three-dimensional displays particle filter indoor positioning ZUPT 3D Kalman filter
Content Type	Text
Resource Type	Article

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