Feasibility of Tracking Human Kinematics with Simultaneous Localization and Mapping (SLAM)

Authors

Sepehr Laal, Portland State University
Paul Vasilyev, Portland State University
Sean Pearson, APDMWearable Technologies
Mateo Aboy, University of Cambridge, CambridgeFollow
James McNames, Portland State UniversityFollow

Published In

Sensors

Document Type

Article

Publication Date

12-2022

Subjects

Human Kinematics -- Research -- Mapping

Abstract

We evaluated a new wearable technology that fuses inertial sensors and cameras for tracking human kinematics. These devices use on-board simultaneous localization and mapping (SLAM) algorithms to localize the camera within the environment. Significance of this technology is in its potential to overcome many of the limitations of the other dominant technologies. Our results demonstrate this system often attains an estimated orientation error of less than 1^o and a position error of less than 4 cm as compared to a robotic arm. This demonstrates that SLAM’s accuracy is adequate for many practical applications for tracking human kinematics.

Rights

Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Locate the Document

https://doi.org/10.3390/s22239378

DOI

10.3390/s22239378

Persistent Identifier

https://archives.pdx.edu/ds/psu/39046

Citation Details

Laal, S., Vasilyev, P., Pearson, S., Aboy, M., & McNames, J. (2022). Feasibility of Tracking Human Kinematics with Simultaneous Localization and Mapping (SLAM). Sensors, 22(23), 9378.