[time]
2020-12-07T16:58:40+01:00

[team_name]
AIR

[team_institution]
Aerospace Information Research Institute, Chinese Academy of Sciences

[logolink]


[system_name]


[website]


[track]
4

[reference_person]
Wenchao Zhang

[email]
zhangwenchao@aoe.ac.cn

[description]
In our algorithm framework, five constraint algorithms are included: Stance 

[Still_Phase_Detection,_the_HDE,_the_HUPT,_the_ZUPT,_and_the_Earth_Magnetic_Yaw__Meanwhile,_the_Stance_]


[Still_Phase_Detection_includes_two_components:_the_GLRT_detector_algorithm_used_under_the_condition_of_the_slow_and_normal_pedestrian_gait_speed,_and_the_HMM__detector_algorithm_used_under_the_condition_of_the_dynamic_and_fast_pedestrian_gait_speed__After_that,_using_the_improved_HDE_and_HUPT_method_to_estimate_current_position_errors,_ZUPT_is_used_to_estimate_the_velocity_error,_while_Earth_Magnetic_Yaw_based_on_QSF_method_is_used_to_estimate_the_heading_error_

A_gait_or_a_walk_cycle_consists_of_two_phases:_the_swing_and_stance_phase__In_the_swing_phase,_the_foot_is_not_in_contact_with_the_ground__In_contrast,_the_foot_contacts_the_ground_in_the_stance_phase__GLRT_algorithm_has_obvious_advantages_for_zero_speed_detection_of_stable_pedestrian_gait_velocity,_while_HMM_algorithm_has_a_good_effect_for_zero_speed_detection_of_dynamic_and_fast_pedestrian_gait_speed__Thus,_the_two_methods_are_combined_to_achieve_the_dynamic_human_stance_]