DocumentCode :
1754589
Title :
3-D Localization of Human Based on an Inertial Capture System
Author :
Qilong Yuan ; I-Ming Chen
Author_Institution :
Sch. of Mech. & Aerosp. Eng., Nanyang Technol. Univ., Singapore, Singapore
Volume :
29
Issue :
3
fYear :
2013
fDate :
41426
Firstpage :
806
Lastpage :
812
Abstract :
This paper introduces a method to track the spatial location and movement of a human using wearable inertia sensors without additional external global positioning devices. Starting from the lower limb kinematics of a human, the method uses multiple wearable inertia sensors to determine the orientation of the body segments and lower limb joint motions. At the same time, based on human kinematics and locomotion phase detection, the spatial position and the trajectory of a reference point on the body can be determined. An experimental study has shown that the position error can be controlled within 1-2% of the total distance in both indoor and outdoor environments. The system is capable of localization on irregular terrains (like uphill/downhill). From the localization results, the ground shape and the height information that can be recovered after localization experiments are conducted. A benchmark study on the accuracy of this method was carried out using the camera-based motion analysis system to study the validity of the system. The localization data that are obtained from the proposed method match well with those from the commercial system. Since the sensors can be worn on the human at any time and any place, this method has no restriction to indoor and outdoor applications.
Keywords :
cameras; gait analysis; humanoid robots; image motion analysis; indoor environment; inertial navigation; path planning; robot kinematics; robot vision; sensors; 3D human localization; body segment orientation; camera-based motion analysis system; global positioning devices; ground shape; height information; indoor applications; indoor environments; inertial capture system; localization experiments; locomotion phase detection; lower limb joint motions; lower limb kinematics; outdoor applications; outdoor environments; position error; spatial location tracking; wearable inertia sensors; Calibration; Foot; Humans; Joints; Legged locomotion; Sensors; Trajectory; Human performance augmentation; humanoid robots; personal localization;
fLanguage :
English
Journal_Title :
Robotics, IEEE Transactions on
Publisher :
ieee
ISSN :
1552-3098
Type :
jour
DOI :
10.1109/TRO.2013.2248535
Filename :
6477156
Link To Document :
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