scholarly journals Inertial Sensor-Based Motion Tracking in Football with Movement Intensity Quantification

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2527
Author(s):  
Erik Wilmes ◽  
Cornelis J. de Ruiter ◽  
Bram J. C. Bastiaansen ◽  
Jasper F. J. A. van Zon ◽  
Riemer J. K. Vegter ◽  
...  
Keyword(s):  
Motion Analysis ◽  
Gold Standard ◽  
Inertial Sensor ◽  
Physical Load ◽  
Football Players ◽  
Motion Analysis System ◽  
Lower Body ◽  
Flexion Extension ◽  
Movement Intensity ◽  
Analysis System

Inertial sensor-based measurements of lower body kinematics in football players may improve physical load estimates during training sessions and matches. However, the validity of inertial-based motion analysis systems is specific to both the type of movement and the intensity at which movements are executed. Importantly, such a system should be relatively simple, so it can easily be used in daily practice. This paper introduces an easy-to-use inertial-based motion analysis system and evaluates its validity using an optoelectronic motion analysis system as a gold standard. The system was validated in 11 football players for six different football specific movements that were executed at low, medium, and maximal intensity. Across all movements and intensities, the root mean square differences (means ± SD) for knee and hip flexion/extension angles were 5.3° ± 3.4° and 8.0° ± 3.5°, respectively, illustrating good validity with the gold standard. In addition, mean absolute flexion/extension angular velocities significantly differed between the three movement intensities. These results show the potential to use the inertial based motion analysis system in football practice to obtain lower body kinematics and to quantify movement intensity, which both may improve currently used physical load estimates of the players.

Validation of a Hand/Wrist Electromechanical Goniometer

1989 ◽  
Vol 33 (11) ◽  
pp. 718-722 ◽  
Author(s):  
Richard W. Schoenmarklin ◽  
William S. Marras
Keyword(s):  
Motion Analysis ◽  
Coefficient Of Variation ◽  
Motion Analysis System ◽  
Wrist Motion ◽  
Dynamic Conditions ◽  
Signal Noise ◽  
Flexion Extension ◽  
Analysis System ◽  
Acceleration Output ◽  
Research Show

This paper describes a new hand/wrist electromechanical goniometer that measures wrist angle, velocity, and acceleration in the radial/ulnar and flexion/extension planes. The research objectives of this paper were to validate the angle and motion measures from this goniometer. The results of this research show that the coefficient of variation of the angle measured by the goniometer and the angle measured by a video-based Motion Analysis system was 3%. By smoothing the voltage data three times in software, the goniometer estimated well the velocity and acceleration measures under controlled dynamic conditions. Three smoothing repetitions appear to be the best smoothing regimen for the goniometer because it reduced signal noise while still maintaining the sensitivity of the velocity and acceleration output. Overall, the goniometer is an easy-to-use, accurate system of measuring wrist angle and motion. This goniometer will be used to build a database of wrist motion in industrial tasks.

scholarly journals Investigation of normal knees kinematics in walking and running at different speeds using a portable motion analysis system

2021 ◽  
pp. 1-14
Author(s):  
Rixu Liu ◽  
Dongyang Qian ◽  
Yushu Chen ◽  
Jianyu Zou ◽  
Shicong Zheng ◽  
...  
Keyword(s):  
Motion Analysis ◽  
Motion Analysis System ◽  
Analysis System

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.

scholarly journals Upper Limb Portable Motion Analysis System Based on Inertial Technology for Neurorehabilitation Purposes

Sensors ◽  
2010 ◽  
Vol 10 (12) ◽  
pp. 10733-10751 ◽  
Author(s):  
Rodrigo Pérez ◽  
Úrsula Costa ◽  
Marc Torrent ◽  
Javier Solana ◽  
Eloy Opisso ◽  
...  
Keyword(s):  
Motion Analysis ◽  
Upper Limb ◽  
Motion Analysis System ◽  
Analysis System

scholarly journals Knee kinematics of ACL-deficient patients: A development of a portable motion analysis system

2018 ◽  
Vol 13 (4) ◽  
Author(s):  
Pui Wa Fung ◽  
Kam Ming Mok ◽  
Ruen Shan Leow ◽  
Sai Chuen Fu ◽  
Patrick Shu Hang Yung ◽  
...  
Keyword(s):  
Motion Analysis ◽  
Knee Kinematics ◽  
Motion Analysis System ◽  
Analysis System ◽  
Acl Deficient
Sign in / Sign up

Export Citation Format

Share Document