scholarly journals Methodological considerations for kinematic analysis of upper limbs in healthy and poststroke adults Part II: a systematic review of motion capture systems and kinematic metrics

2019 ◽  
Vol 26 (6) ◽  
pp. 464-472 ◽  
Author(s):  
Inês Albuquerque Mesquita ◽  
Pedro Filipe Pereira da Fonseca ◽  
Ana Rita Vieira Pinheiro ◽  
Miguel Fernando Paiva Velhote Correia ◽  
Cláudia Isabel Costa da Silva
Keyword(s):  
Systematic Review ◽  
Motion Capture ◽  
Kinematic Analysis ◽  
Upper Limbs ◽  
Methodological Considerations ◽  
Motion Capture Systems

scholarly journals Methodological considerations for kinematic analysis of upper limbs in healthy and poststroke adults. Part I: A systematic review of sampling and motor tasks

2018 ◽  
Vol 26 (2) ◽  
pp. 142-152 ◽  
Author(s):  
Inês Albuquerque Mesquita ◽  
Ana Rita Vieira Pinheiro ◽  
Miguel Fernando Paiva Velhote Correia ◽  
Cláudia Isabel Costa da Silva
Keyword(s):  
Systematic Review ◽  
Kinematic Analysis ◽  
Upper Limbs ◽  
Motor Tasks ◽  
Methodological Considerations

Two-dimensional video gait analysis: A systematic review of reliability, validity, and best practice considerations

2020 ◽  
Vol 44 (4) ◽  
pp. 245-262
Author(s):  
Alexandria Michelini ◽  
Arezoo Eshraghi ◽  
Jan Andrysek
Keyword(s):  
Systematic Review ◽  
Data Collection ◽  
Gait Analysis ◽  
Motion Capture ◽  
Study Design ◽  
Human Gait ◽  
Two Dimensional ◽  
Specific Patient ◽  
Gait Parameters ◽  
Motion Capture Systems

Background: Motion capture systems are widely used to quantify human gait. Two-dimensional (2D) video systems are simple to use, easily accessible, and affordable. However, their performance as compared to other systems (i.e. three-dimensional (3D) gait analysis) is not well established. Objectives: This work provides a comprehensive review of design specifications and performance characteristics (validity and reliability) of two-dimensional motion capture systems. Study design: Systematic review. Methods: A systematic literature search was conducted in three databases from 1990 to 2019 and identified 30 research articles that met the inclusion/exclusion criteria. Results: Reliability of measurements of two-dimensional video motion capture was found to vary greatly from poor to excellent. Results relating to validity were also highly variable. Comparisons between the studies were challenging due to differences in protocols, instrumentation, parameters assessed, and analyses performed. Conclusions: Variability in performance could be attributed to study design, gait parameters being measured, and technical aspects. The latter includes camera specifications (i.e. resolution and frame rate), setup (i.e. camera position), and analysis software. Given the variability in performance, additional validation testing may be needed for specific applications involving clinical or research-based assessments, including specific patient populations, gait parameters, mobility tasks, and data collection protocols. Clinical relevance This review article provides guidance on the application of 2D video gait analysis in a clinical or research setting. While not suitable in all instances, 2D gait analysis has promise in specific applications. Recommendations are provided about the patient populations, gait parameters, mobility tasks, and data collection protocols.

scholarly journals Upper Limb Physical Rehabilitation Using Serious Videogames and Motion Capture Systems: A Systematic Review

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 5989
Author(s):  
Andrea Catherine Alarcón-Aldana ◽  
Mauro Callejas-Cuervo ◽  
Antonio Padilha Lanari Bo
Keyword(s):  
Systematic Review ◽  
Motion Capture ◽  
Upper Limb ◽  
Low Cost ◽  
Physical Rehabilitation ◽  
Upper Limb Rehabilitation ◽  
Measurement Units ◽  
Meta Analyses ◽  
Limb Rehabilitation ◽  
Motion Capture Systems

The use of videogames and motion capture systems in rehabilitation contributes to the recovery of the patient. This systematic review aimed to explore the works related to these technologies. The PRISMA method (Preferred Reporting Items for Systematic reviews and Meta-Analyses) was used to search the databases Scopus, PubMed, IEEE Xplore, and Web of Science, taking into consideration four aspects: physical rehabilitation, the use of videogames, motion capture technologies, and upper limb rehabilitation. The literature selection was limited to open access works published between 2015 and 2020, obtaining 19 articles that met the inclusion criteria. The works reported the use of inertial measurement units (37%), a Kinect sensor (48%), and other technologies (15%). It was identified that 26% used commercial products, while 74% were developed independently. Another finding was that 47% of the works focus on post-stroke motor recovery. Finally, diverse studies sought to support physical rehabilitation using motion capture systems incorporating inertial units, which offer precision and accessibility at a low cost. There is a clear need to continue generating proposals that confront the challenges of rehabilitation with technologies which offer precision and healthcare coverage, and which, additionally, integrate elements that foster the patient’s motivation and participation.

Extrinsic Calibration of Camera and Motion Capture Systems

2021 ◽  
Author(s):  
Prashant Ganesh ◽  
Kyle Volle ◽  
Paul Buzaud ◽  
Kevin Brink ◽  
Andrew Willis
Keyword(s):  
Motion Capture ◽  
Extrinsic Calibration ◽  
Motion Capture Systems

Validation of wearable inertial sensor-based gait analysis system for measurement of spatiotemporal parameters and lower extremity joint kinematics in sagittal plane

2022 ◽  
pp. 095441192110729
Author(s):  
Gunjan Patel ◽  
Rajani Mullerpatan ◽  
Bela Agarwal ◽  
Triveni Shetty ◽  
Rajdeep Ojha ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Motion Analysis ◽  
Motion Capture ◽  
Inertial Sensor ◽  
Joint Kinematics ◽  
Percentage Error ◽  
Motion Capture System ◽  
Spatiotemporal Parameters ◽  
Analysis System ◽  
Motion Capture Systems

Wearable inertial sensor-based motion analysis systems are promising alternatives to standard camera-based motion capture systems for the measurement of gait parameters and joint kinematics. These wearable sensors, unlike camera-based gold standard systems, find usefulness in outdoor natural environment along with confined indoor laboratory-based environment due to miniature size and wireless data transmission. This study reports validation of our developed (i-Sens) wearable motion analysis system against standard motion capture system. Gait analysis was performed at self-selected speed on non-disabled volunteers in indoor ( n = 15) and outdoor ( n = 8) environments. Two i-Sens units were placed at the level of knee and hip along with passive markers (for indoor study only) for simultaneous 3D motion capture using a motion capture system. Mean absolute percentage error (MAPE) was computed for spatiotemporal parameters from the i-Sens system versus the motion capture system as a true reference. Mean and standard deviation of kinematic data for a gait cycle were plotted for both systems against normative data. Joint kinematics data were analyzed to compute the root mean squared error (RMSE) and Pearson’s correlation coefficient. Kinematic plots indicate a high degree of accuracy of the i-Sens system with the reference system. Excellent positive correlation was observed between the two systems in terms of hip and knee joint angles (Indoor: hip 3.98° ± 1.03°, knee 6.48° ± 1.91°, Outdoor: hip 3.94° ± 0.78°, knee 5.82° ± 0.99°) with low RMSE. Reliability characteristics (defined using standard statistical thresholds of MAPE) of stride length, cadence, walking speed in both outdoor and indoor environment were well within the “Good” category. The i-Sens system has emerged as a potentially cost-effective, valid, accurate, and reliable alternative to expensive, standard motion capture systems for gait analysis. Further clinical trials using the i-Sens system are warranted on participants across different age groups.

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