4.7 Article

Validation of Magneto-Inertial Measurement Units for Upper-Limb Motion Analysis Through an Anthropomorphic Robot

Journal

IEEE SENSORS JOURNAL
Volume 22, Issue 17, Pages 16920-16928

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2022.3193313

Keywords

Sensors; Robots; Robot sensing systems; Magnetic sensors; Sensor phenomena and characterization; Magnetometers; Motion capture; Biomechanics; human movement analysis; magneto-inertial measurement units; validation; robotic arm

Funding

  1. European Union [101017331 (CUP: C85F21000670006), 899822 (CUP: C82F20000090006)]
  2. Regione Lazio with Healthcare Agents and Learning Robot (HEAL) [CUP: B84I20001880002]

Ask authors/readers for more resources

Kinematic analysis of human movement is crucial for medical and working scenarios. This study proposes a method using an anthropomorphic robot to assess the performance of M-IMUs in tracking specific ranges of human upper limb movements. The Root Mean Square Error is employed as the performance indicator. Experimental validation shows that a high percentage of trials exhibit low errors for the tested M-IMUs.
Kinematic analysis of human movement is paramount for medical and working scenarios, such as rehabilitation or ergonomic evaluation of workers. Recent studies in the state-of-the-art highlight the importance of assessing the performance of M-IMUs as tools for objective kinematic analysis before exploiting them in any context. This work aims at proposing a method grounded on the use of an anthropomorphic robot, to characterize the behavior of M-IMUs for specific frequency and amplitude ranges, typical of human upper limb movements. The use of a robot allows generating controlled and repeatable angular trajectories, thus providing a gold standard to evaluate the capability of the sensors to accurately track target angular trajectories. The Root Mean Square Error is adopted as a performance indicator. An experimental validation of the proposed method is carried out on two different sets of M-IMUs. The 87.96% and 71.30% of the performed trials exhibit errors lower than 0.087 rad for the WISE and Xsens sensors, respectively. The proposed workflow can be exploited to characterize the sensor behavior for different applications as well as the sensor fusion algorithms implemented into the measurement unit.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available