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Deriving Motor States and Mobility Metrics from Gamified Augmented Reality Rehabilitation Exercises in People with Parkinson’s Disease
 
 
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Correction to Sensors 2025, 25(23), 7172.
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Correction

Correction: van Doorn et al. Deriving Motor States and Mobility Metrics from Gamified Augmented Reality Rehabilitation Exercises in People with Parkinson’s Disease. Sensors 2025, 25, 7172

by
Pieter F. van Doorn
1,2,3,*,
Edward Nyman, Jr.
4,
Koen Wishaupt
2,3,5,
Marjolein M. van der Krogt
5,6 and
Melvyn Roerdink
1,2,3,7,*
1
Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, 1081 BT Amsterdam, The Netherlands
2
Department of Nutrition and Movement Sciences, NUTRIM Institute of Nutrition and Translational Research in Metabolism, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6211 LK Maastricht, The Netherlands
3
Department of Nutrition and Movement Sciences, MHeNs Institute of Mental Health and Neurosciences, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6211 LK Maastricht, The Netherlands
4
Department of Data and AI, Strolll Ltd., Stafford ST16 2LP, UK
5
Department of Rehabilitation Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
6
Rehabilitation & Development, Amsterdam Movement Sciences, 1081 HV Amsterdam, The Netherlands
7
Department of Science, Strolll Ltd., Stafford ST16 2LP, UK
*
Authors to whom correspondence should be addressed.
Sensors 2026, 26(4), 1155; https://doi.org/10.3390/s26041155
Submission received: 26 January 2026 / Accepted: 28 January 2026 / Published: 11 February 2026
(This article belongs to the Special Issue Gait Recognition and Digital Mobility Outcomes Based on Wearable Sensing Technology)
Versions Notes
Text Correction
An error was identified in the original publication [1]. A correction has been made to remove the erroneous pitch correction applied to the augmented reality–derived vertical position, as originally described in Section 2.5.1 and applied to derive gait parameters in Section 2.5.1. and squat parameters in Section 2.5.3. This removal has slightly affected the gait and squat metrics reported in Section 3.3 and Table 5 and in the abstract. In addition, the parts in Sections 4.1.3 and 4.2 of the Discussion, in which the pitch correction was addressed, have been removed.
Error in Table
As a consequence of removing the erroneous pitch correction, the results presented in Table 5 of the original publication were incorrect. The corrected data are provided below. The authors state that the scientific conclusions remain unaffected. This correction was approved by the Academic Editor, and the original publication has been updated accordingly.
Table 5. Concurrent validity statistics for absolute agreement in mobility metrics between systems.
Table 5. Concurrent validity statistics for absolute agreement in mobility metrics between systems.
Motor State and Mobility MetricMean ± SD (SEM)Mean ± SD (SEM)Bias (95% Limits of Agreement)t-Statistics or Wilcoxon Signed-Rank-Statistics 1ICC(A,1)
Straight walkingARTheia3D head
Step length (m)0.61 ± 0.11 (0.03)0.60 ± 0.11 (0.03)−0.01 (−0.09 0.08)t(14) = 0.71, p = 0.4890.938
Max. gait speed (m/s)1.66 ± 0.35 (0.01)1.66 ± 0.35 (0.01)0.00 (−0.03 0.03)t(14) = −0.62, p = 0.5430.999
Cadence (steps/min)118.59 ± 14.04 (5.44)120.37 ± 14.58 (5.65)1.79 (−13.70 17.27)t(14) = −0.88, p = 0.3960.850
TurningARTheia3D pelvis
Turn duration (s)2.05 ± 0.22 (0.13)2.07 ± 0.20 (0.09)0.02 (−0.17 0.20)t(14) = −0.69, p = 0.5040.904
Peak angular velocity (deg/s)136.98 ± 16.95 (4.24)116.06 ± 18.24 (4.54)−20.92 (−42.34 0.51)t(14) = 7.41, p < 0.0010.477
SquattingARTheia3D head
Squat duration (s)2.12 ± 0.57 (0.04)2.11 ± 0.58 (0.04)−0.01 (−0.12 0.10)t(14) = 0.82, p = 0.4250.995
Squat depth (m)0.49 ± 0.18 (0.03)0.45 ± 0.16 (0.03)−0.03 (−0.08 0.02)t(14) = 4.75, p < 0.0010.972
TransfersARTheia3D head
Sit-to-stand duration (s)1.20 ± 0.20 (0.03)1.21 ± 0.17 (0.03)0.00 (−0.07 0.08)t(14) = −0.44, p = 0.6640.979
Stand-to-sit duration (s)1.57 ± 0.38 (0.06)1.59 ± 0.41 (0.06)0.01 (−0.15 0.18)t(14) = −0.67, p = 0.5130.978
1 Significant p-values in bold.

Reference

  1. van Doorn, P.F.; Nyman, E., Jr.; Wishaupt, K.; van der Krogt, M.M.; Roerdink, M. Deriving Motor States and Mobility Metrics from Gamified Augmented Reality Rehabilitation Exercises in People with Parkinson’s Disease. Sensors 2025, 25, 7172. [Google Scholar] [CrossRef] [PubMed]
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MDPI and ACS Style

van Doorn, P.F.; Nyman, E., Jr.; Wishaupt, K.; van der Krogt, M.M.; Roerdink, M. Correction: van Doorn et al. Deriving Motor States and Mobility Metrics from Gamified Augmented Reality Rehabilitation Exercises in People with Parkinson’s Disease. Sensors 2025, 25, 7172. Sensors 2026, 26, 1155. https://doi.org/10.3390/s26041155

AMA Style

van Doorn PF, Nyman E Jr., Wishaupt K, van der Krogt MM, Roerdink M. Correction: van Doorn et al. Deriving Motor States and Mobility Metrics from Gamified Augmented Reality Rehabilitation Exercises in People with Parkinson’s Disease. Sensors 2025, 25, 7172. Sensors. 2026; 26(4):1155. https://doi.org/10.3390/s26041155

Chicago/Turabian Style

van Doorn, Pieter F., Edward Nyman, Jr., Koen Wishaupt, Marjolein M. van der Krogt, and Melvyn Roerdink. 2026. "Correction: van Doorn et al. Deriving Motor States and Mobility Metrics from Gamified Augmented Reality Rehabilitation Exercises in People with Parkinson’s Disease. Sensors 2025, 25, 7172" Sensors 26, no. 4: 1155. https://doi.org/10.3390/s26041155

APA Style

van Doorn, P. F., Nyman, E., Jr., Wishaupt, K., van der Krogt, M. M., & Roerdink, M. (2026). Correction: van Doorn et al. Deriving Motor States and Mobility Metrics from Gamified Augmented Reality Rehabilitation Exercises in People with Parkinson’s Disease. Sensors 2025, 25, 7172. Sensors, 26(4), 1155. https://doi.org/10.3390/s26041155

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