Using Magneto-Inertial Measurement Units to Pervasively Measure Hip Joint Motion during Sports

Horenstein, Rachel E.; Goudeau, Yohann R.; Lewis, Cara L.; Shefelbine, Sandra J.

doi:10.3390/s20174970

Cited by 8 publications

(6 citation statements)

References 77 publications

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“…Inertial measurement units are used in sports measurements [28][29][30]. IMU mounted to the handle of a curling stone was previously used by Lozowski [22].…”

Section: Discussionmentioning

confidence: 99%

Acceleration-Based Method of Ice Quality Assessment in the Sport of Curling

Dzikowski

Weremczuk

Pachwicewicz³

2022

Sensors

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Despite the significant influence of ice conditions on results in the sport of curling, players and ice technicians lack a measurement device that would objectively measure ice quality during a curling competition. This paper presents such a new measurement method by using a device consisting an inertial measurement unit (IMU) attached to the handle of the curling stone and data processing software. IMU is used to measure the vibration of curling stone during its movement on the surface of the ice. The acceleration signal is recorded, and then the software calculates the value of so-called R parameter in frequency domain. The value of R allows one to determine if an ice sheet had been pebbled and if the shape of pebbles is suitable for the game of curling. The presented system was tested in various ice conditions—on both freshly prepared and used ice. Ice technicians and players may use the proposed system to decide whether the ice surface is suitable for play or if it should be remade.

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“…Inertial measurement units are used in sports measurements [28][29][30]. IMU mounted to the handle of a curling stone was previously used by Lozowski [22].…”

Section: Discussionmentioning

confidence: 99%

Acceleration-Based Method of Ice Quality Assessment in the Sport of Curling

Dzikowski

Weremczuk

Pachwicewicz³

2022

Sensors

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“…The second set of papers are research papers focusing on sports applications: soccer [4], ski [5], canoe [6] and racket playing [7].…”

Section: Contributionsmentioning

confidence: 99%

“…To begin with, the first sport-related research paper is dedicated to the hip joint motion analysis of adolescent soccer players using inertial sensors [4]. In addition to performance quantification, such an investigation is also motivated to prevent injuries.…”

Section: Contributionsmentioning

confidence: 99%

Human and Animal Motion Tracking Using Inertial Sensors

Marin

2020

Sensors

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Motion is key to health and wellbeing, something we are particularly aware of in times of lockdowns and restrictions on movement. Considering the motion of humans and animals as a biomarker of the performance of the neuro-musculoskeletal system, its analysis covers a large array of research fields, such as sports, equine science and clinical applications, but also innovative methods and workplace analysis. In this Special Issue of Sensors, we focused on human and animal motion-tracking using inertial sensors. Ten research and two review papers, mainly on human movement, but also on the locomotion of the horse, were selected. The selection of articles in this Special Issue aims to display current innovative approaches exploring hardware and software solutions deriving from inertial sensors related to motion capture and analysis. The selected sample shows that the versatility and pervasiveness of inertial sensors has great potential for the years to come, as, for now, limitations and room for improvement still remain.

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“…Wearable sensor devices that can provide real-time data on human running patterns in actual running events present a feasible and preferable alternative to the motion analysis systems [7]. Magneto-inertial measurement units (MIMUs), comprised of gyroscopes, accelerometers, and magnetometers, have been used to measure joint angles, acceleration, and angular velocity [8][9][10][11]. The use of MIMUs for joint angle measurement during sports events has become common [5,10].…”

Section: Introductionmentioning

confidence: 99%

Cross-Leg Prediction of Running Kinematics across Various Running Conditions and Drawing from a Minimal Data Set Using a Single Wearable Sensor

et al. 2022

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The feasibility of prediction of same-limb kinematics using a single inertial measurement unit attached to the same limb has been demonstrated using machine learning. This study was performed to see if a single inertial measurement unit attached to the tibia can predict the opposite leg’s kinematics (cross-leg prediction). It also investigated if there is a minimal or smaller data set in a convolutional neural network model to predict lower extremity running kinematics under other running conditions and with what accuracy for the intra- and inter-participant situations. Ten recreational runners completed running exercises under five conditions, including treadmill running at speeds of 2, 2.5, 3, and 3.5 m/s and level-ground running at their preferred speed. A one-predict-all scheme was adopted to determine which running condition could be used to best predict a participant’s overall running kinematics. Running kinematic predictions were performed for intra- and inter-participant scenarios. Among the tested running conditions, treadmill running at 3 m/s was found to be the optimal condition for accurately predicting running kinematics under other conditions, with R2 values ranging from 0.880 to 0.958 and 0.784 to 0.936 for intra- and inter-participant scenarios, respectively. The feasibility of cross-leg prediction was demonstrated but with significantly lower accuracy than the same leg. The treadmill running condition at 3 m/s showed the highest intra-participant cross-leg prediction accuracy. This study proposes a novel, deep-learning method for predicting running kinematics under different conditions on a small training data set.

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Using Magneto-Inertial Measurement Units to Pervasively Measure Hip Joint Motion during Sports

Cited by 8 publications

References 77 publications

Acceleration-Based Method of Ice Quality Assessment in the Sport of Curling

Acceleration-Based Method of Ice Quality Assessment in the Sport of Curling

Human and Animal Motion Tracking Using Inertial Sensors

Cross-Leg Prediction of Running Kinematics across Various Running Conditions and Drawing from a Minimal Data Set Using a Single Wearable Sensor

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