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Article

Measurement of Hand Function by an Automated Device—System Validation and Usability Analysis

1
NOVA School of Science and Technology, Department of Physics, 2829-516 Caparica, Portugal
2
BG Klinikum Hamburg, Centre for Clinical Research, 21033 Hamburg, Germany
3
German Research Center for Artificial Intelligence (DFKI), 23538 Lübeck, Germany
4
BG Klinikum Hamburg, Hand Rehabilitation Department, 21033 Hamburg, Germany
5
Medical Faculty, Universität zu Lübeck, 23538 Lübeck, Germany
6
Fraunhofer IMTE, Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering, 23538 Lübeck, Germany
*
Author to whom correspondence should be addressed.
Sensors 2025, 25(22), 7068; https://doi.org/10.3390/s25227068
Submission received: 19 September 2025 / Revised: 6 November 2025 / Accepted: 7 November 2025 / Published: 19 November 2025
(This article belongs to the Special Issue (Bio)sensors for Physiological Monitoring)

Abstract

(1) Aim: This study aims to assess the repeatability and accuracy of a 9-axis IMU-based glove and an IR camera system, in order to determine their potential to replace traditional goniometry. (2) Background: Traditional methods for assessing hand function, such as goniometry, are time-consuming and limited by subjectivity, inter-rater variability and external factors that compromise accuracy and reliability. Recent advancements in motion capture technology and sensor-based devices offer potential improvements in efficiency and accuracy for hand rehabilitation assessment; (3) Methods: To evaluate the repeatability of an IMU-based glove and an IR camera, measurements were taken using a silicone hand model under controlled conditions, while accuracy assessments involved a volunteer without movement constraints. Bland–Altman plots were employed for visual comparison and accuracy evaluation; (4) Results: The Nuada glove exhibited high repeatability, with standard deviations below two degrees across all joints, surpassing the goniometer’s accuracy threshold of five degrees. The UltraLeap system demonstrated comparable repeatability, with deviations consistently under 3.5 degrees. Accuracy assessments revealed limitations: over 50% of the Nuada glove’s measurements and over 80% of UltraLeap’s measurements deviated by more than five degrees compared to the goniometer. However, the Nuada glove and UltraLeap system were more consistent with each other than with the goniometer, suggesting limitations in the goniometer’s reliability for modern mobility assessment; (5) Conclusions: Both devices exhibited excellent repeatability, highlighting their strong potential for clinical application. However, their accuracy compared to the goniometer requires further refinement. These findings suggest that these technologies could enhance traditional assessment methods, offering more efficient and accurate solutions for evaluating hand mobility in clinical settings.
Keywords: range of motion; hand mobility; IMU; sensors; physiotherapy; goniometer; IR camera range of motion; hand mobility; IMU; sensors; physiotherapy; goniometer; IR camera

Share and Cite

MDPI and ACS Style

Vieira, M.; Barth, T.; Münch, M.; Koch, N.; Kögel, A.; Stroetmann, M.; Schulz, A.P. Measurement of Hand Function by an Automated Device—System Validation and Usability Analysis. Sensors 2025, 25, 7068. https://doi.org/10.3390/s25227068

AMA Style

Vieira M, Barth T, Münch M, Koch N, Kögel A, Stroetmann M, Schulz AP. Measurement of Hand Function by an Automated Device—System Validation and Usability Analysis. Sensors. 2025; 25(22):7068. https://doi.org/10.3390/s25227068

Chicago/Turabian Style

Vieira, Margarida, Tobias Barth, Matthias Münch, Natascha Koch, Alexander Kögel, Marie Stroetmann, and Arndt Peter Schulz. 2025. "Measurement of Hand Function by an Automated Device—System Validation and Usability Analysis" Sensors 25, no. 22: 7068. https://doi.org/10.3390/s25227068

APA Style

Vieira, M., Barth, T., Münch, M., Koch, N., Kögel, A., Stroetmann, M., & Schulz, A. P. (2025). Measurement of Hand Function by an Automated Device—System Validation and Usability Analysis. Sensors, 25(22), 7068. https://doi.org/10.3390/s25227068

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