scholarly journals Three-Dimensional Body and Centre of Mass Kinematics in Alpine Ski Racing Using Differential GNSS and Inertial Sensors

2016 ◽  
Vol 8 (8) ◽  
pp. 671 ◽  
Author(s):  
Benedikt Fasel ◽  
Jörg Spörri ◽  
Matthias Gilgien ◽  
Geo Boffi ◽  
Julien Chardonnens ◽  
...  
Keyword(s):  
Inertial Sensors ◽  
Three Dimensional ◽  
Centre Of Mass

scholarly journals A Three-Dimensional Skeletal Reconstruction of the Stem Amniote Orobates pabsti (Diadectidae): Analyses of Body Mass, Centre of Mass Position, and Joint Mobility

PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0137284 ◽  
Author(s):  
John A. Nyakatura ◽  
Vivian R. Allen ◽  
Jonas Lauströer ◽  
Amir Andikfar ◽  
Marek Danczak ◽  
...  
Keyword(s):  
Body Mass ◽  
Three Dimensional ◽  
Joint Mobility ◽  
Centre Of Mass ◽  
Mass Centre ◽  
Mass Position ◽  
Skeletal Reconstruction

A Mobile Motion Capture System Based on Inertial Sensors and Smart Shoes

2013 ◽  
Vol 136 (1) ◽  
Author(s):  
Pyeong-Gook Jung ◽  
Sehoon Oh ◽  
Gukchan Lim ◽  
Kyoungchul Kong
Keyword(s):  
Motion Capture ◽  
Inertial Sensors ◽  
Kinematic Model ◽  
Three Dimensional ◽  
Health Condition ◽  
Body Motion ◽  
Whole Body ◽  
Motion Capture System ◽  
Outdoor Sports ◽  
Motion Capture Systems

Motion capture systems play an important role in health-care and sport-training systems. In particular, there exists a great demand on a mobile motion capture system that enables people to monitor their health condition and to practice sport postures anywhere at any time. The motion capture systems with infrared or vision cameras, however, require a special setting, which hinders their application to a mobile system. In this paper, a mobile three-dimensional motion capture system is developed based on inertial sensors and smart shoes. Sensor signals are measured and processed by a mobile computer; thus, the proposed system enables the analysis and diagnosis of postures during outdoor sports, as well as indoor activities. The measured signals are transformed into quaternion to avoid the Gimbal lock effect. In order to improve the precision of the proposed motion capture system in an open and outdoor space, a frequency-adaptive sensor fusion method and a kinematic model are utilized to construct the whole body motion in real-time. The reference point is continuously updated by smart shoes that measure the ground reaction forces.

scholarly journals An accurate estimation of the horizontal acceleration of a rower’s centre of mass using inertial sensors: a validation

2018 ◽  
Vol 18 (7) ◽  
pp. 940-946 ◽  
Author(s):  
Lotte L. Lintmeijer ◽  
Gert S. Faber ◽  
Hessel R. Kruk ◽  
A. J. “Knoek” van Soest ◽  
Mathijs J. Hofmijster
Keyword(s):  
Inertial Sensors ◽  
Accurate Estimation ◽  
Centre Of Mass ◽  
Horizontal Acceleration

scholarly journals Semi-Automating Low Back Compression Force Estimations with an Inertial Sensor

Proceedings ◽  
2020 ◽  
Vol 49 (1) ◽  
pp. 37
Author(s):  
Sam Gleadhill ◽  
Daniel James ◽  
Raymond Leadbetter ◽  
Tomohito Wada ◽  
Ryu Nagahara ◽  
...  
Keyword(s):  
Motion Capture ◽  
Injury Risk ◽  
Inertial Sensors ◽  
Inertial Sensor ◽  
Three Dimensional ◽  
Compressive Force ◽  
Low Back ◽  
Compression Force ◽  
Injury Risk Factor ◽  
Capture Method

There are currently no evidence-based practical automated injury risk factor estimation tools to monitor low back compressive force in ambulatory or sporting environments. For this purpose, inertial sensors may potentially replace laboratory-based systems with comparable results. The objective was to investigate inertial sensor validity to monitor low back compression force. Thirty participants completed a series of lifting tasks from the floor. Back compression force was estimated using a hand calculated method, an inertial sensor method and a three-dimensional motion capture method. Results demonstrated that semi-automation with a sensor had a higher agreement with motion capture compared to the hand calculated method, with angle errors of less than six degrees and back compression force errors of less than 200 Newtons. It was concluded that inertial sensors are valid to implement for static low back compression force estimations.

scholarly journals A Kinematic Analysis of Fundamental Movement Skills

2016 ◽  
Vol 25 (3-4) ◽  
pp. 261-275 ◽  
Author(s):  
Cain C. T. Clark ◽  
Claire M. Barnes ◽  
Mark Holton ◽  
Huw D. Summers ◽  
Gareth Stratton
Keyword(s):  
Internal Rotation ◽  
External Rotation ◽  
Three Dimensional ◽  
Rotation Velocity ◽  
Building Blocks ◽  
Mass Range ◽  
Centre Of Mass ◽  
Movement Skills ◽  
Fundamental Movement Skills ◽  
The Relationship

Abstract Fundamental movement skills are considered the basic building blocks for movement and provide the foundation for specialized and sport-specific movement skills required for participation in a variety of physical activities. However, kinematic analyses of fundamental movement has not been performed. The aims of this study were to, (1) characterise the relationship between facets of fundamental movement and, (2) characterise the relationship between overall integrated acceleration and three-dimensional kinematic variables whilst performing fundamental movement skills. Eleven participants (10±0.8y, 1.41±0.07m, 33.4±8.6kg, body mass index; 16.4±3.1 kg·m2) took part in this study, had anthropometric variables recorded and performed a series of fundamental movement tasks, whilst wearing a tri-axial accelerometer and were recorded using a three-dimensional motion capture system. Maximum shoulder external rotation (°) and maximum shoulder internal rotation velocity (°.s−1) (r=0.86, p<0.001), mediolateral centre of mass range (cm) and centre of mass coefficient of variation (%) (r=0.83, p<0.001), maximum stride angle (°) in the jog and walk (r=0.74, p=0.01) and maximum sprint stride angle and maximum shoulder internal rotation velocity (°.s−1) (r=0.67, p<0.02) were significantly correlated. Maximum sprint stride angle (hip: r=0.96, p<0.001, ankle: r=0.97, p<0.001) and maximum internal rotation velocity (ankle: r=0.6, p=0.05) were significantly correlated to overall integrated acceleration. Overall integrated acceleration was comparable between participants (CV: 10.5), whereas three-dimensional variables varied by up to 65%. Although overall integrated acceleration was comparable between participants, three-dimensional variables were much more varied. Indicating that although overall activity may be correspondent, the characteristics of a child’s movement may be highly varied.

Large Angle Parametrically Excited Tilting Micro Actuator

2008 ◽  
Author(s):  
Assaf Ya’akobovitz ◽  
Slava Krylov
Keyword(s):  
Parametric Excitation ◽  
Inertial Sensors ◽  
Actuation Voltage ◽  
Large Angle ◽  
Three Dimensional ◽  
Single Layer ◽  
Silicon On Insulator ◽  
Performance Study ◽  
Operational Parameters ◽  
Lumped Model

We present novel operational principle of a tilting MEMS device based on parametric excitation and linear to angular motion transformation. The device is fabricated using a single layer of silicon on insulator (SOI) wafer and combines simple fabrication process with several beneficial features including large tilting angles, wide bandwidth, low sensitivity to deviation in geometrical and operational parameters and low actuation voltage. A theoretical feasibility and performance study was carried out using a lumped model of the device and verified by a coupled three-dimensional simulation. Parametric excitation of the tilting motion was demonstrated experimentally using and external piezoelectric transducer and tilting angles of 39° were registered. The suggested operational approach could be efficiently implemented in many MEMS based applications incorporating tilting elements including micromirrors, bio medical devices and inertial sensors.

scholarly journals A Determination Method for Gait Event Based on Acceleration Sensors

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5499 ◽  
Author(s):  
Chang Mei ◽  
Farong Gao ◽  
Ying Li
Keyword(s):  
Motion Capture ◽  
Inertial Sensors ◽  
Gait Recognition ◽  
Three Dimensional ◽  
High Standard ◽  
Vertical Displacement ◽  
Human Gait ◽  
Vertical Acceleration ◽  
Acceleration Signal ◽  
Acceleration Sensors

A gait event is a crucial step towards the effective assessment and rehabilitation of motor dysfunctions. However, for the data acquisition of a three-dimensional motion capture (3D Mo-Cap) system, the high cost of setups, such as the high standard laboratory environment, limits widespread clinical application. Inertial sensors are increasingly being used to recognize and classify physical activities in a variety of applications. Inertial sensors are now sufficiently small in size and light in weight to be part of a body sensor network for the collection of human gait data. The acceleration signal has found important applications in human gait recognition. In this paper, using the experimental data from the heel and toe, first the wavelet method was used to remove noise from the acceleration signal, then, based on the threshold of comprehensive change rate of the acceleration signal, the signal was primarily segmented. Subsequently, the vertical acceleration signals, from heel and toe, were integrated twice, to compute their respective vertical displacement. Four gait events were determined in the segmented signal, based on the characteristics of the vertical displacement of heel and toe. The results indicated that the gait events were consistent with the synchronous record of the motion capture system. The method has achieved gait event subdivision, while it has also ensured the accuracy of the defined gait events. The work acts as a valuable reference, to further study gait recognition.

scholarly journals Simulations of dense-snow avalanches on deflecting dams

1998 ◽  
Vol 26 ◽  
pp. 265-271 ◽  
Author(s):  
Fridtjov Irgens ◽  
Bonsak Schieldrop ◽  
Carl B. Harbitz ◽  
Ulrik Domaas ◽  
Runar Opsahl
Keyword(s):  
Three Dimensional ◽  
Angle Of Incidence ◽  
Snow Avalanches ◽  
Centre Of Mass ◽  
Lumped Mass ◽  
Mass Model ◽  
One Dimensional ◽  
Lumped Mass Model ◽  
Flowing Material ◽  
Run Up

Two models simulating snow avalanches impacting retaining dams at oblique angles of incidence are presented.First, a lumped-mass model applying the Voellmy-Perla equation is used to calculate the path of the centre-of-mass along the side of a retaining dam.Secondly, a one-dimensional continuum model, applying depth-integrated equations of balance of mass and linear momentum, is expanded to take into account that real avalanche flows are three-dimensional. The centre-line of the avalanche path is determined by the flowing material as it progresses down the channelized avalanche path. The nonlinear constitutive equations comprise viscosity, visco-elasticity and plasticity.Both models are calibrated by simulations of a registered avalanche following a strongly curved channel. The path and the run-up height of the avalanche on the natural deflecting dam with oblique angle of incidence as calculated by the two models, are compared with the observations made.

scholarly journals THE ALGORITHM OF GOOD PLACEMENT ON THE SHELF BY CONSIDERING THE WEIGHT AND VOLUME OF THE GOODS TO THE CENTRE OF MASS

2021 ◽  
pp. 56-65
Author(s):  
Ari Setiawan ◽  
Leo Rama Kristina ◽  
Renaldy Chandra Kurniawan
Keyword(s):  
Load Capacity ◽  
Center Of Mass ◽  
Three Dimensional ◽  
Numerical Data ◽  
Utilization Rate ◽  
Centre Of Mass ◽  
Space Efficiency ◽  
Dimensional Plane ◽  
Placement Algorithm ◽  
Storage Racks

This study aims to develop an algorithm for placing goods on warehouse shelves. The process of placing goods in a warehouse is generally placed or arranged in a rack. Placement of goods must be correct to achieve space efficiency and high shelf utilization while maintaining balance on the storage shelf. The placement of items that have various volumes and weights must consider their placement position on the storage rack. Placing goods carelessly and only consider the shelf utilization rate will cause an imbalance. Shelf imbalance will accelerate the damage to storage racks, as well as the risk of collapsing shelves. Best placement of goods, in order to achieve shelf utilization and maintain shelf balance, must consider the weight and volume of goods placed against the total center mass of the rack. The procedure for placing goods on the shelf by considering the total center of mass was developed from research on warehouse layout. The procedure for placing goods in warehouse layout research is carried out on a two-dimensional plane (x-axis and y-axis). Whereas in this study, the placement of goods was carried out by considering the location of the goods in a three-dimensional plane (x, y and z axes). The placement algorithm is designed to place goods with various size (volume and weight) on multi-layer racks (with assumption each layer has same load capacity). This research produces two placing algorithms. The first algorithm focuses on the weight and volume of goods, so the pallets containing with largest volume and weight goods are arranged first and placed on the lowest layer. The second algorithm focuses on the weight of the goods, the pallets containing the heaviest goods will be arranged first on the lowest layer. Both algorithms are simulated using numerical data. The algorithm that focuses on weight (the second algorithm) has a better mass center than the algorithm that focuses on the weight and volume of goods (the first algorithm).

scholarly journals The 400-m Front Crawl Test: Energetic and 3D Kinematical Analyses

2019 ◽  
Vol 41 (01) ◽  
pp. 21-26
Author(s):  
Ricardo de Assis Correia ◽  
Wellington Gomes Feitosa ◽  
Pedro Figueiredo ◽  
Marcelo Papoti ◽  
Flávio Antonio de Souza Castro
Keyword(s):  
Oxygen Consumption ◽  
Test Performance ◽  
Lactate Concentration ◽  
Three Dimensional ◽  
Velocity Variation ◽  
Centre Of Mass ◽  
Front Crawl ◽  
Competition Level ◽  
The Mean ◽  
Linear Regressions

AbstractThe aim of the study was to verify the relative contributions of energetic and kinematic parameters to the performance in 400-m front crawl test. Fourteen middle-distance swimmers participated in the study. Oxygen consumption was measured directly and blood samples were collected to assay lactate concentration. Both oxygen consumption and lactate concentration were used to calculate the: (i) overall energy expenditure, (ii) anaerobic (alactic and lactic) and (iii) aerobic contributions. The mean centre of mass speed and intracycle velocity variation were determined through three-dimensional kinematic analysis. Mean completion time was 315.64±26.91s. Energetic contributions were as follows: 6.1±0.28% from alactic anaerobic metabolism, 5.9±0.63% from anaerobic lactic and 87.8±0.88% from aerobic. Mean intracycle velocity variation was 0.14±0.03. The results indicated that performance of 400-m test relies predominantly on aerobic power. Parameters such as lactate, mean speed, anaerobic lactic and alactic (kW) correlated with performance of 400-m test (p <0.05). Multiple linear regressions indicated that mean centre of mass speed and anaerobic alactic (kW) determined the 400-m test performance (R2=0.92). Even though the T400 is characterized by aerobic metabolism, the anaerobic alactic component cannot be negligible at this competition level.

Sign in / Sign up

Export Citation Format

Share Document