scholarly journals Fusing Accelerometry with Videography to Monitor the Effect of Fatigue on Punching Performance in Elite Boxers

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5749
Author(s):  
Nicos Haralabidis ◽  
David John Saxby ◽  
Claudio Pizzolato ◽  
Laurie Needham ◽  
Dario Cazzola ◽  
...  
Keyword(s):  
Inverse Dynamics ◽  
Sagittal Plane ◽  
Three Dimensional ◽  
Statistical Parametric Mapping ◽  
Shoulder Abduction ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Fatigue Protocol ◽  
Custom Made ◽  
Measurement Units

Wearable sensors and motion capture technology are accepted instruments to measure spatiotemporal variables during punching performance and to study the externally observable effects of fatigue. This study aimed to develop a computational framework enabling three-dimensional inverse dynamics analysis through the tracking of punching kinematics obtained from inertial measurement units and uniplanar videography. The framework was applied to six elite male boxers performing a boxing-specific punch fatigue protocol. OpenPose was used to label left side upper-limb landmarks from which sagittal plane kinematics were computed. Custom-made inertial measurement units were embedded into the boxing gloves, and three-dimensional punch accelerations were analyzed using statistical parametric mapping to evaluate the effects of both fatigue and laterality. Tracking simulations of a sub-set of left-handed punches were formulated as optimal control problems and converted to nonlinear programming problems for solution with a trapezoid collocation method. The laterality analysis revealed the dominant side fatigued more than the non-dominant, while tracking simulations revealed shoulder abduction and elevation moments increased across the fatigue protocol. In future, such advanced simulation and analysis could be performed in ecologically valid contexts, whereby multiple inertial measurement units and video cameras might be used to model a more complete set of dynamics.

Benchmarking the Accuracy of Inertial Measurement Units for Estimating Joint Reactions

2013 ◽  
Author(s):  
Ryan S. McGinnis ◽  
Jessandra Hough ◽  
N. C. Perkins
Keyword(s):  
Three Dimensional ◽  
Correlation Coefficients ◽  
Human Motion ◽  
Load Cell ◽  
Great Promise ◽  
Human Motion Analysis ◽  
Double Pendulum ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Measurement Units

Newly developed miniature wireless inertial measurement units (IMUs) hold great promise for measuring and analyzing multibody system dynamics. This relatively inexpensive technology enables non-invasive motion tracking in broad applications, including human motion analysis. The second part of this two-part paper advances the use of an array of IMUs to estimate the joint reactions (forces and moments) in multibody systems via inverse dynamic modeling. In particular, this paper reports a benchmark experiment on a double-pendulum that reveals the accuracy of IMU-informed estimates of joint reactions. The estimated reactions are compared to those measured by high precision miniature (6 dof) load cells. Results from ten trials demonstrate that IMU-informed estimates of the three dimensional reaction forces remain within 5.0% RMS of the load cell measurements and with correlation coefficients greater than 0.95 on average. Similarly, the IMU-informed estimates of the three dimensional reaction moments remain within 5.9% RMS of the load cell measurements and with correlation coefficients greater than 0.88 on average. The sensitivity of these estimates to mass center location is discussed. Looking ahead, this benchmarking study supports the promising and broad use of this technology for estimating joint reactions in human motion applications.

scholarly journals A novel approach to navigated implantation of S-2 alar iliac screws using inertial measurement units

2016 ◽  
Vol 24 (3) ◽  
pp. 447-453 ◽  
Author(s):  
Gregory F. Jost ◽  
Jonas Walti ◽  
Luigi Mariani ◽  
Philippe Cattin
Keyword(s):  
Sagittal Plane ◽  
Intraoperative Imaging ◽  
Intraoperative Navigation ◽  
Anatomical Landmarks ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Sacropelvic Fixation ◽  
Iliac Screws ◽  
Entry Points ◽  
Measurement Units

OBJECT The authors report on a novel method of intraoperative navigation with inertial measurement units (IMUs) for implantation of S-2 alar iliac (S2AI) screws in sacropelvic fixation of the human spine and its application in cadaveric specimens. METHODS Screw trajectories were planned on a multiplanar reconstruction of the preoperative CT scan. The pedicle finder and screwdriver were equipped with IMUs to guide the axial and sagittal tilt angles of the planned trajectory, and navigation software was developed. The entry points were chosen according to anatomical landmarks on the exposed spine. After referencing, the sagittal and axial orientation of the pedicle finder and screwdriver were wirelessly monitored on a computer screen and aligned with the preoperatively planned tilt angles to implant the S2AI screws. The technique was performed without any intraoperative imaging. Screw positions were analyzed on postoperative CT scans. RESULTS Seventeen of 18 screws showed a good S2AI screw trajectory. Compared with the postoperatively measured tilt angles of the S2AI screws, the IMU readings on the screwdriver were within an axial plane deviation of 0° to 5° in 15 (83%) and 6° to 10° in 2 (11%) of the screws and within a sagittal plane deviation of 0° to 5° in 15 (83%) and 6° to 10° in 3 (17%) of the screws. CONCLUSIONS IMU–based intraoperative navigation may facilitate accurate placement of S2AI screws.

Evaluation of inertial measurement units as a novel method for kinematic gait evaluation in dogs

2016 ◽  
Vol 29 (06) ◽  
pp. 475-483 ◽  
Author(s):  
Alexandra Pauls ◽  
Chris Kawcak ◽  
Kevin Haussler ◽  
Gina Bertocci ◽  
Valerie Moorman ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Sagittal Plane ◽  
Plane Motion ◽  
Inertial Measurement Units ◽  
Hip Joints ◽  
Kinematic Data ◽  
Inertial Measurement ◽  
Optical Motion ◽  
Measurement Units ◽  
Plane Joint

Summary Objective: To evaluate the use of inertial measurement units (IMU) for quantification of canine limb kinematics. Methods: Sixteen clinically healthy, medium-sized dogs were enrolled. Baseline kinematic data were acquired using an optical motion capture system. Following this baseline data acquisition, a harness system was used for attachment of IMU to the animals. Optical kinematic data of dogs with and without the harness were compared to evaluate the influence of the harness on gait parameters. Sagittal plane joint kinematics acquired simultaneously with IMU and the optical system were compared for the carpal, tarsal, stifle and hip joints. Comparisons of data were made using the concordance correlation coefficient (CCC) test and evaluation of root mean squared errors (RMSE). Results: No significant differences were demonstrated in stance duration, swing duration or stride length between dogs instrumented with or without the harness, however, mean RMSE values ranged from 4.90° to 14.10° across the various joints. When comparing simultaneously acquired optical and IMU kinematic data, strong correlations were found for all four joints evaluated (CCC: carpus = 0.98, hock = 0.95, stifle = 0.98, hip = 0.96) and median RMSE values were similar across the joints ranging from 2.51° to 3.52°. Conclusions and Clinical relevance: Canine sagittal plane motion data acquisition with IMU is feasible, and optically acquired and IMU acquired sagittal plane kinematics had good correlation. This technology allows data acquisition outside the gait laboratory and may provide an alternative to optical kinematic gait analysis for the carpal, tarsal, stifle, and hip joints in the dog. Further investigation into this technology is indicated.

scholarly journals Validation of an Embedded Motion-Capture and EMG Setup for the Analysis of Musculoskeletal Disorder Risks during Manhole Cover Handling

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 436
Author(s):  
Rémy Hubaut ◽  
Romain Guichard ◽  
Julia Greenfield ◽  
Mathias Blandeau
Keyword(s):  
Motion Capture ◽  
Working Environment ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Perception Of Effort ◽  
Bland Altman Method ◽  
Custom Made ◽  
Measurement Units ◽  
Pushing And Pulling ◽  
Good Agreement

Musculoskeletal disorders in the workplace are a growing problem in Europe. The measurement of these disorders in a working environment presents multiple limitations concerning equipment and measurement reliability. The aim of this study was to evaluate the use of inertial measurement units against a reference system for their use in the workplace. Ten healthy volunteers conducted three lifting methods (snatching, pushing, and pulling) for manhole cover using a custom-made tool weighting 20 and 30 kg. Participants’ back and dominant arm were equipped with IMU, EMG, and reflective markers for VICON analysis and perception of effort was estimated at each trial using a Visual Analog Scale (VAS). The Bland–Altman method was used and results showed good agreement between IMU and VICON systems for Yaw, Pitch and Roll angles (bias values < 1, −4.4 < LOA < 3.6°). EMG results were compared to VAS results and results showed that both are a valuable means to assess efforts during tasks. This study therefore validates the use of inertial measurement units (IMU) for motion capture and its combination with electromyography (EMG) and a Visual Analogic Scale (VAS) to assess effort for use in real work situations.

scholarly journals Effect of IMU Design on IMU-Derived Stride Metrics for Running

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2601 ◽  
Author(s):  
Michael V Potter ◽  
Lauro V Ojeda ◽  
Noel C Perkins ◽  
Stephen M Cain
Keyword(s):  
Angular Velocity ◽  
Stride Length ◽  
Three Dimensional ◽  
Sampling Frequency ◽  
Inertial Measurement Units ◽  
Running Speed ◽  
Inertial Measurement ◽  
Gait Parameters ◽  
Measurement Units ◽  
Human Running

Researchers employ foot-mounted inertial measurement units (IMUs) to estimate the three-dimensional trajectory of the feet as well as a rich array of gait parameters. However, the accuracy of those estimates depends critically on the limitations of the accelerometers and angular velocity gyros embedded in the IMU design. In this study, we reveal the effects of accelerometer range, gyro range, and sampling frequency on gait parameters (e.g., distance traveled, stride length, and stride angle) estimated using the zero-velocity update (ZUPT) method. The novelty and contribution of this work are that it: (1) quantifies these effects at mean speeds commensurate with competitive distance running (up to 6.4 m/s); (2) identifies the root causes of inaccurate foot trajectory estimates obtained from the ZUPT method; and (3) offers important engineering recommendations for selecting accurate IMUs for studying human running. The results demonstrate that the accuracy of the estimated gait parameters generally degrades with increased mean running speed and with decreased accelerometer range, gyro range, and sampling frequency. In particular, the saturation of the accelerometer and/or gyro induced during running for some IMU designs may render those designs highly inaccurate for estimating gait parameters.

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