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Paper TuA204.2

Yuan, Qilong (Nanyang Technological University), Chen, I-Ming (Nanyang Technological University), Lee, Shang Ping (Nanyang Technological University)

SLAC: 3D Localization of Human Based on Kinetic Human Movement Capture

Scheduled for presentation during the Regular Sessions "Human Detection and Tracking I" (TuA204), Tuesday, May 10, 2011, 10:20−10:35, Room 3E

2011 IEEE International Conference on Robotics and Automation, May 9-13, 2011, Shanghai International Conference Center, Shanghai, China

This information is tentative and subject to change. Compiled on April 21, 2019

Keywords Human detection & tracking, Gesture, Posture and Facial Expressions, Humanoid and Bipedal Locomotion

Abstract

This article introduces a method called SLAC (Simultaneous Localization And Capture) to track the spatial location of a human using wearable inertia sensors without additional external assistive global sensing device (e.g., camera, ultrasound, IR, etc.) 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 trajectory of a reference point on the body can be determined. Preliminary experimental study has shown that the position error of SLAC can be controlled stairs within less than 2% error of the total distance travelled for a person to walk around a rectangle on the floor and climb up and down stairs. A benchmark study on the accuracy of SLAC was carried out using the camera-based Motion Analysis® system. The localization data obtained from SLAC tally well with that from the commercial system. The positioning accuracy obtained from SLAC is at least an order of magnitude better than that of GPS. 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 and is complimentary to GPS applications.

 

 

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