@inproceedings{c0f9d4b681ea43ed9597eeed920769fd,
title = "A smartphone inertial sensor based recursive zero-velocity detection approach",
abstract = "A reliable and robust zero velocity points (ZVPs) detection approach is important to restrain the accumulative error in the pedestrian inertial navigation systems. A novel recursive zero-velocity detection (RZVD) approach for smartphone based pedestrian dead reckoning systems is proposed in this paper. It combined the adaptive threshold and context information of the vertical velocity to verify the correctness of ZVP detection and fixed the incorrect ZVPs recursively. The test results show that the performance of the proposed approach is better than original method. It indicates that the proposed approach is helpful to eliminate the serious estimation error caused by false detection of ZVPs.",
keywords = "Pedestrian dead reckoning system, Recursive zero-velocity detection, Smartphone, ZUPT",
author = "Yizhen Wang and Xiangyi Meng and Rui Xu and Xuantong Chen and Lingxiang Zheng and Biyu Tang and Ao Peng and Lulu Yuan and Qi Yang and Haibin Shi and Xiaoyang Ruan and Huiru Zheng",
year = "2018",
month = apr,
day = "19",
doi = "10.1007/978-981-10-7398-4_17",
language = "English",
isbn = "9789811073977",
volume = "464",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer",
pages = "162--168",
booktitle = "Frontier Computing - Theory, Technologies and Applications FC 2017",
address = "Switzerland",
note = "6th International Conference on Frontier Computing, FC 2017 ; Conference date: 12-07-2017 Through 14-07-2017",
}