scholarly journals Stride Lengths during Maximal Linear Sprint Acceleration Obtained with Foot-Mounted Inertial Measurement Units

Sensors ◽  
2022 ◽  
Vol 22 (1) ◽  
pp. 376
Author(s):  
Cornelis J. de Ruiter ◽  
Erik Wilmes ◽  
Pepijn S. van Ardenne ◽  
Niels Houtkamp ◽  
Reinder A. Prince ◽  
...  
Keyword(s):  
Stride Length ◽  
Lower Limbs ◽  
Inertial Measurement Units ◽  
Reasonable Accuracy ◽  
Limits Of Agreement ◽  
Inertial Measurement ◽  
Video Cameras ◽  
Recreational Athletes ◽  
Measurement Units ◽  
Maximal Effort

Inertial measurement units (IMUs) fixed to the lower limbs have been reported to provide accurate estimates of stride lengths (SLs) during walking. Due to technical challenges, validation of such estimates in running is generally limited to speeds (well) below 5 m·s−1. However, athletes sprinting at (sub)maximal effort already surpass 5 m·s−1 after a few strides. The present study aimed to develop and validate IMU-derived SLs during maximal linear overground sprints. Recreational athletes (n = 21) completed two sets of three 35 m sprints executed at 60, 80, and 100% of subjective effort, with an IMU on the instep of each shoe. Reference SLs from start to ~30 m were obtained with a series of video cameras. SLs from IMUs were obtained by double integration of horizontal acceleration with a zero-velocity update, corrected for acceleration artefacts at touch-down of the feet. Peak sprint speeds (mean ± SD) reached at the three levels of effort were 7.02 ± 0.80, 7.65 ± 0.77, and 8.42 ± 0.85 m·s−1, respectively. Biases (±Limits of Agreement) of SLs obtained from all participants during sprints at 60, 80, and 100% effort were 0.01% (±6.33%), −0.75% (±6.39%), and −2.51% (±8.54%), respectively. In conclusion, in recreational athletes wearing IMUs tightly fixed to their shoes, stride length can be estimated with reasonable accuracy during maximal linear sprint acceleration.

scholarly journals Effect of Functional Electrical Stimulation of the Gluteus Medius during Gait in Patients following a Stroke

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Sota Araki ◽  
Masayuki Kawada ◽  
Takasuke Miyazaki ◽  
Yuki Nakai ◽  
Yasufumi Takeshita ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
Lower Limb ◽  
Stride Length ◽  
Gluteus Medius ◽  
Gait Velocity ◽  
Inertial Measurement Units ◽  
Stroke Patients ◽  
Inertial Measurement ◽  
Motion Range ◽  
Measurement Units

Many stroke patients rely on cane or ankle-foot orthosis during gait rehabilitation. The purpose of this study was to investigate the immediate effect of functional electrical stimulation (FES) to the gluteus medius (GMed) and tibialis anterior (TA) on gait performance in stroke patients, including those who needed assistive devices. Fourteen stroke patients were enrolled in this study (mean poststroke duration: 194.9 ± 189.6   d ; mean age: 72.8 ± 10.7   y ). Participants walked 14 m at a comfortable velocity with and without FES to the GMed and TA. After an adaptation period, lower-limb motion was measured using magnetic inertial measurement units attached to the pelvis and the lower limb of the affected side. Motion range of angle of the affected thigh and shank segments in the sagittal plane, motion range of the affected hip and knee extension-flexion angle, step time, and stride time were calculated from inertial measurement units during the middle ten walking strides. Gait velocity, cadence, and stride length were also calculated. These gait indicators, both with and without FES, were compared. Gait velocity was significantly faster with FES ( p = 0.035 ). Similarly, stride length and motion range of the shank of the affected side were significantly greater with FES (stride length: p = 0.018 ; motion range of the shank: p = 0.02 6). Meanwhile, cadence showed no significant difference ( p = 0.238 ) in gait with or without FES. Similarly, range of motion of the affected hip joint, knee joint, and thigh did not differ significantly depending on FES condition ( p = 0.115 ‐ 0.529 ). FES to the GMed and TA during gait produced an improvement in gait velocity, stride length, and motion range of the shank. Our results will allow therapists to use FES on stroke patients with varying conditions.

Assessment of lower limbs kinematics during human–robot interaction using inertial measurement units

2014 ◽  
Vol 40 ◽  
pp. S24-S25 ◽  
Author(s):  
N.L. Tagliamonte ◽  
A. Peruzzi ◽  
D. Accoto ◽  
A. Cereatti ◽  
U. Della Croce ◽  
...  
Keyword(s):  
Human Robot Interaction ◽  
Lower Limbs ◽  
Inertial Measurement Units ◽  
Robot Interaction ◽  
Inertial Measurement ◽  
Measurement Units

scholarly journals Automatic pairing of inertial sensors to lower limb segments – a plug-and-play approach

2016 ◽  
Vol 2 (1) ◽  
pp. 715-718 ◽  
Author(s):  
David Graurock ◽  
Thomas Schauer ◽  
Thomas Seel
Keyword(s):  
Sensor Networks ◽  
Lower Limb ◽  
Healthy Subjects ◽  
Inertial Sensors ◽  
Inertial Sensor ◽  
Lower Limbs ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Correct Pairing ◽  
Measurement Units

AbstractInertial sensor networks enable realtime gait analysis for a multitude of applications. The usability of inertial measurement units (IMUs), however, is limited by several restrictions, e.g. a fixed and known sensor placement. To enhance the usability of inertial sensor networks in every-day live, we propose a method that automatically determines which sensor is attached to which segment of the lower limbs. The presented method exhibits a low computational workload, and it uses only the raw IMU data of 3 s of walking. Analyzing data from over 500 trials with healthy subjects and Parkinson’s patients yields a correct-pairing success rate of 99.8% after 3 s and 100% after 5 s.

scholarly journals Pilot-study of ridden walk on the circle – effects of progressive collection and lateral exercises

2021 ◽  
pp. 1-16
Author(s):  
A. Egenvall ◽  
H. Engström ◽  
A. Byström
Keyword(s):  
Pilot Study ◽  
Mixed Models ◽  
Hind Limb ◽  
Stride Length ◽  
Sacral Vertebra ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Measurement Units ◽  
Stride Duration ◽  
Head Neck

When collecting the horse, the rider influences stride length, forehand/hindquarters balance, and head-neck position. The study aim was to describe the vertical excursion of the withers and croup, and the sagittal cannon angles during collection and lateral exercises. Ten horses were ridden by five riders during 14 trials (1-5 per rider) on 10 m circles. Each trial included free walk, four degrees of increasing collection, and haunches-in and shoulderin. Inertial measurement units (100 Hz) were positioned on the withers, the first sacral vertebra (S1) and laterally on the cannons. Data for each exercise were stride-split. Range of motion (ROM), minima and maxima were studied in mixed models, controlling for stride duration. S1 vertical ROM ranged between 30-32 mm (highest degree of collection) and 51 mm (free walk), significantly smaller with increasing collection. S1 ROM during the inside hind limb step was smaller in haunches-in and shoulder-in compared to at the lowest degree of collection. Withers ROM ranged between 12 mm (lowest degree of collection) and 16-18 mm (highest degree of collection). Fore cannon protraction-retraction ROM ranged between 57° (highest degree of collection) and 63° (free walk). Hind cannon protraction-retraction ROM ranged between 47-50° (highest degree of collection) and 51-56° (free walk). All limbs had significantly smaller ROM at the highest degree of collection. Cannon ROMs were smaller for the outer limbs in haunches-in, and all limbs but the outer fore in shoulder-in, compared to the lowest degree of collection. Progressively decreasing ROM for fore- and hind limb cannons and S1 suggest that the riders achieved a shortening of the gait at higher degrees of collection. In shoulder-in and haunches-in, the diagonal oriented in the direction of motion showed decreased hind limb cannon ROM while forelimb cannon ROM was maintained, which could suggest increased shoulder freedom and collection of the targeted diagonal.

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.

scholarly journals Analysis of ergonomic and unergonomic human lifting behaviors by using Inertial Measurement Units

2017 ◽  
Vol 3 (1) ◽  
pp. 7-10 ◽  
Author(s):  
Jan Kuschan ◽  
Henning Schmidt ◽  
Jörg Krüger
Keyword(s):  
Quality Of Life ◽  
Machine Learning ◽  
Angular Velocity ◽  
Musculoskeletal System ◽  
Occupational Diseases ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Measurement Units ◽  
Main Components

Abstract:This paper presents an analysis of two distinct human lifting movements regarding acceleration and angular velocity. For the first movement, the ergonomic one, the test persons produced the lifting power by squatting down, bending at the hips and knees only. Whereas performing the unergonomic one they bent forward lifting the box mainly with their backs. The measurements were taken by using a vest equipped with five Inertial Measurement Units (IMU) with 9 Dimensions of Freedom (DOF) each. In the following the IMU data captured for these two movements will be evaluated using statistics and visualized. It will also be discussed with respect to their suitability as features for further machine learning classifications. The reason for observing these movements is that occupational diseases of the musculoskeletal system lead to a reduction of the workers’ quality of life and extra costs for companies. Therefore, a vest, called CareJack, was designed to give the worker a real-time feedback about his ergonomic state while working. The CareJack is an approach to reduce the risk of spinal and back diseases. This paper will also present the idea behind it as well as its main components.

scholarly journals Inertial measurement units to estimate drag forces and power output during standardised wheelchair tennis coast-down and sprint tests

2021 ◽  
pp. 1-19
Author(s):  
Thomas Rietveld ◽  
Barry S. Mason ◽  
Victoria L. Goosey-Tolfrey ◽  
Lucas H. V. van der Woude ◽  
Sonja de Groot ◽  
...  
Keyword(s):  
Power Output ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Drag Forces ◽  
Measurement Units
Sign in / Sign up

Export Citation Format

Share Document