Validation of a MediaPipe System for Markerless Motion Analysis During Virtual Reality Rehabilitation

被引:6
作者
Francia, Carlalberto [2 ]
Motta, Filippo [2 ]
Donno, Lucia [2 ]
Covarrubias, Mario [1 ]
Dornini, Cristina [3 ]
Madella, Antonia [3 ]
Galli, Manuela [2 ]
机构
[1] Politecn Milan, Dipartimento Meccan, Milan, Italy
[2] Politecn Milan, Dipartimento Elettron Informaz & Bioingn, Milan, Italy
[3] Fdn TOG, Milan, Italy
来源
EXTENDED REALITY, PT III, XR SALENTO 2024 | 2024年 / 15029卷
关键词
Markerless; Inertial Measurement Units; Virtual reality; MediaPipe algorithm; Rehabilitation;
D O I
10.1007/978-3-031-71710-9_3
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Markerless systems and inertial sensors, such as inertial measurement units, offer significant advantages over traditional marker-based methods by eliminating the need for laboratory conditions or markers placement. Virtual reality is an innovative technology used in rehabilitation, recently investigated for obtaining kinematic motion data. This research aims to validate a markerless system using a MediaPipe-based algorithm to reconstruct joint kinematics during exercises with the Nirvana virtual reality rehabilitation system. In the first phase, the markerless system was evaluated against the Xsens inertialmeasurement unit system, analyzing knee, hip, elbow and shoulder movements of 7 healthy participants at the Politecnico di Milano. The MediaPipe algorithm showed high performance in tracking lower limb movements but was less accurate for upper limbs, as indicated by RMSE and %RMSE values. However, it accurately replicated the time course of all angles based on ICC and Spearman's coefficient, suggesting virtual reality's feasibility in rehabilitation and movement analysis. In the second phase, a pilot study was carried out at the Fondazione TOG on 2 participants with left hemiparesis to assess the efficacy of the system in a pathological context. The results provide a basis for evaluating the potential clinical applicability of the system.
引用
收藏
页码:40 / 49
页数:10
相关论文
共 13 条
[1]   A marker-less human motion analysis system for motion-based biomarker identification and quantification in knee disorders [J].
Armstrong, Kai ;
Zhang, Lei ;
Wen, Yan ;
Willmott, Alexander P. ;
Lee, Paul ;
Ye, Xujiong .
FRONTIERS IN DIGITAL HEALTH, 2024, 6
[2]   Kinematic determinants of human locomotion [J].
Borghese, NA ;
Bianchi, L ;
Lacquaniti, F .
JOURNAL OF PHYSIOLOGY-LONDON, 1996, 494 (03) :863-879
[3]   Comparative Analysis of Skeleton-Based Human Pose Estimation [J].
Chung, Jen-Li ;
Ong, Lee-Yeng ;
Leow, Meng-Chew .
FUTURE INTERNET, 2022, 14 (12)
[4]   Improvement of brain functional connectivity in autism spectrum disorder: an exploratory study on the potential use of virtual reality [J].
De Luca, Rosaria ;
Naro, Antonino ;
Colucci, Pia Valentina ;
Pranio, Federica ;
Tardiolo, Giuseppe ;
Billeri, Luana ;
Le Cause, Maria ;
De Domenico, Carmela ;
Portaro, Simona ;
Rao, Giuseppe ;
Calabro, Rocco Salvatore .
JOURNAL OF NEURAL TRANSMISSION, 2021, 128 (03) :371-380
[5]   Automated Gait Analysis Based on a Marker-Free Pose Estimation Model [J].
Hii, Chang Soon Tony ;
Gan, Kok Beng ;
Zainal, Nasharuddin ;
Ibrahim, Norlinah Mohamed ;
Azmin, Shahrul ;
Desa, Siti Hajar Mat ;
van de Warrenburg, Bart ;
You, Huay Woon .
SENSORS, 2023, 23 (14)
[6]   A TEST FOR NORMALITY OF OBSERVATIONS AND REGRESSION RESIDUALS [J].
JARQUE, CM ;
BERA, AK .
INTERNATIONAL STATISTICAL REVIEW, 1987, 55 (02) :163-172
[7]   Validation of wearable visual feedback for retraining foot progression angle using inertial sensors and an augmented reality headset [J].
Karatsidis, Angelos ;
Richards, Rosie E. ;
Konrath, JasonM. ;
van den Noort, Josien C. ;
Schepers, H. Martin ;
Bellusci, Giovanni ;
Harlaar, Jaap ;
Veltink, Peter H. .
JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2018, 15
[8]   Human Pose Estimation Using MediaPipe Pose and Optimization Method Based on a Humanoid Model [J].
Kim, Jong-Wook ;
Choi, Jin-Young ;
Ha, Eun-Ju ;
Choi, Jae-Ho .
APPLIED SCIENCES-BASEL, 2023, 13 (04)
[9]   The evolution of methods for the capture of human movement leading to markerless motion capture for biomechanical applications [J].
Mundermann, Lars ;
Corazza, Stefano ;
Andriacchi, Thomas P. .
JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2006, 3 (1)
[10]   Concurrent validation of the Xsens IMU system of lower-body kinematics in jump-landing and change-of-direction tasks [J].
Nijmeijer, Eline M. ;
Heuvelmans, Pieter ;
Bolt, Ruben ;
Gokeler, Alli ;
Otten, Egbert ;
Benjaminse, Anne .
JOURNAL OF BIOMECHANICS, 2023, 154