TY - GEN
T1 - Multi-condition constraint adaptive step detection method based on the characteristics of gait
AU - Zhang, Yulong
AU - Zhu, Zhuangsheng
AU - Wang, Shibo
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/4
Y1 - 2018/12/4
N2 - The Pedestrian Dead Reckoning} (PDR) system plays an increasingly important role in the field of seamless localization of indoor and outdoor space. However, the accuracy of PDR system is affected by many factors. Step, stride and heading are three main factors. Therefore, improving the step, stride and heading measurement precision can enhance performance of the PDR system In this paper, we propose an original multi-condition adaptive step detection algorithm This algorithm based on gait characteristics analysis, then using the periodicity of the gait to realize gait detection. In this way we can solve the problem of step detection inaccuracy. The proposed algorithm is verified with the real experiment. Also, the experiment results indicate the proposed step detection algorithms can meet the 99% detection accuracy better than the traditional algorithm.
AB - The Pedestrian Dead Reckoning} (PDR) system plays an increasingly important role in the field of seamless localization of indoor and outdoor space. However, the accuracy of PDR system is affected by many factors. Step, stride and heading are three main factors. Therefore, improving the step, stride and heading measurement precision can enhance performance of the PDR system In this paper, we propose an original multi-condition adaptive step detection algorithm This algorithm based on gait characteristics analysis, then using the periodicity of the gait to realize gait detection. In this way we can solve the problem of step detection inaccuracy. The proposed algorithm is verified with the real experiment. Also, the experiment results indicate the proposed step detection algorithms can meet the 99% detection accuracy better than the traditional algorithm.
KW - Pedestrian Dead Reckoning
KW - gait characteristics analysis
KW - multi-condition adaptive
KW - seamless localization
KW - step detection
UR - https://www.scopus.com/pages/publications/85060210564
U2 - 10.1109/UPINLBS.2018.8559896
DO - 10.1109/UPINLBS.2018.8559896
M3 - 会议稿件
AN - SCOPUS:85060210564
T3 - Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018
BT - Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018
Y2 - 22 March 2018 through 23 March 2018
ER -