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Motion Mode Recognition and Step Detection Algorithms for Mobile Phone Users., , and . Sensors, 13 (2): 1539-1562 (2013)Engineering, Human, and Legal Challenges of Navigation Systems for Personal Mobility., , and . IEEE Trans. Intell. Transp. Syst., 18 (1): 177-191 (2017)Magnetic, Acceleration Fields and Gyroscope Quaternion (MAGYQ)-Based Attitude Estimation with Smartphone Sensors for Indoor Pedestrian Navigation., and . Sensors, 14 (12): 22864-22890 (2014)Model-based and experimental analysis of the symmetry in human walking in different device carrying modes., , , , and . BioRob, page 1172-1179. IEEE, (2016)A Simulation-Based Approach to Generate Walking Gait Accelerations for Pedestrian Navigation Solutions., , , , and . IPIN, page 1-8. IEEE, (2018)Smartphone based gait analysis using STFT and wavelet transform for indoor navigation., , and . IPIN, page 157-166. IEEE, (2014)A Portfolio of Machine Learning-Based GNSS LOS/NLOS Classification in Urban Environments., , and . SENSORS, page 1-4. IEEE, (2023)Correction: Renaudin, V. et al. Use of Earth's Magnetic Field for Mitigating Gyroscope Errors Regardless of Magnetic Perturbation. Sensors 2011, 11, 11390-11414., , and . Sensors, 12 (6): 8437 (2012)A Computer Vision Approach for Pedestrian Walking Direction Estimation with Wearable Inertial Sensors: PatternNet., , , and . PLANS, page 691-699. IEEE, (2023)Seamless Indoor-Outdoor Infrastructure-free Navigation for Pedestrians and Vehicles with GNSS-aided Foot-mounted IMU., , and . IPIN, page 1-8. IEEE, (2019)