A Wearable Pedestrian Localization and Gait Identification System Using Kalman Filtered Inertial Data

Author:

Hajati NasimORCID,Rezaeizadeh AminORCID

Funder

NOVE Company

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. 3-D Collaborative Occupancy Grid-Based Inertial SLAM Based on Switching Floor Event;IEEE Sensors Journal;2024-07-01

2. Research on motion-adaptive inertial positioning method for personnel in satellite denial environment;Proceedings of the 2024 Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence;2024-01-19

3. An improved attitude estimation algorithm for suppressing magnetic vector disturbance based on extended Kalman filter;Measurement Science and Technology;2024-01-04

4. MD-TLCF: Miner Distance Detection Based on Trajectory-Based Low-Confidence Filter;IEEE Transactions on Instrumentation and Measurement;2024

5. Nonlinearity-Aware ZUPT-Aided Pedestrian Inertial Navigation Based on Cubature Kalman Filter in Urban Canyons;IEEE Transactions on Instrumentation and Measurement;2024

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