Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICRA.2011.5979872 | ICRA |
Keywords | Field | DocType |
biosensors,slac,body segment orientation,target tracking,locomotion phase detection,multiple wearable inertia sensors,gait analysis,camera-based motion analysis system,simultaneous localization and capture,3d human localization,human kinematics,kinetic human movement capture,lower limb joint motions,three dimensional,trajectory,sensors,foot,kinetics,calibration | Computer vision,Kinematics,Wearable computer,Artificial intelligence,Global Positioning System,Inertia,Phase detector,Engineering,Climb,Calibration,Trajectory | Conference |
ISSN | ISBN | Citations |
1050-4729 | 978-1-61284-386-5 | 13 |
PageRank | References | Authors |
1.13 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qilong Yuan | 1 | 45 | 7.96 |
| I-Ming Chen | 2 | 567 | 87.28 |
| Shang Ping Lee | 3 | 122 | 18.60 |