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Article
Feasibility of Tracking Human Kinematics with Simultaneous Localization and Mapping (SLAM)
Sensors
  • Sepehr Laal, Portland State University
  • Paul Vasilyev, Portland State University
  • Sean Pearson, APDMWearable Technologies
  • Mateo Aboy, University of Cambridge, Cambridge
  • James McNames, Portland State University
Document Type
Article
Publication Date
12-1-2022
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 1o 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.

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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 Information
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.