Analysis of Lower Limbs Dynamics and its Application in the Sports Training Based on Computer Vision

2014 ◽  
Vol 513-517 ◽  
pp. 3212-3215
Author(s):  
Sheng Gang Jing ◽  
Wen Yuan Wan
Keyword(s):  
Computer Vision ◽  
Model Building ◽  
Lower Limbs ◽  
Joint Torque ◽  
Visual Simulation ◽  
Dynamics Analysis ◽  
Sports Training ◽  
Analysis Model ◽  
Vision Simulation ◽  
Torque Values

The lower limbs dynamics analysis model was researched, and applied it in the ports training based on computer vision. Through theoretical analysis and computer visual simulation, the detailed theoretical and simulation data was obtained for the lower limbs torque value, which was applied to sports training. Using the computer simulation technology, the human lower limbs skeletal dynamics model was established on the computer visual simulation platform. The joint torque values in different sports models were calculated for analyzing the optimum force and power mode. In the model building process, the single leg support motion model and running model were constructed, and the lower limbs dynamics analysis was implemented for the two models, calculating the joint torque values in theory and simulation. Finally, the ADAMS software was used for dynamic visual simulation in computer vision. Simulation results can show the force torque values vividly, the simulation result and theoretical result are compared and analyzed, it provides important data references and effective theoretical guidance in sports training, and it is meaningful for the optimization of physical training and improvement of training effect.

3D Reconstruction and Visual Simulation of Double-Flowered Plants Based on Laser Scanning

2019 ◽  
Vol 33 (10) ◽  
pp. 1955013
Author(s):  
Dongna Cai ◽  
Zhi Li ◽  
Yongjian Huai
Keyword(s):  
Computer Vision ◽  
3D Reconstruction ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Morphological Structure ◽  
Digital Data ◽  
Visual Simulation ◽  
Cloud Data ◽  
Virtual Plant ◽  
Vision Simulation

Flower plants have become a major difficulty in virtual plant research because of their rich external morphological structure and complex physiological processes. Computer vision simulation provides powerful tools for exploring powerful biological systems and operating laws. In this paper, Chrysanthemum and Chinese rose, double flowers as the symbolic flowers of Beijing, are chosen as the study subject. On the basis of maximizing the protection of flower growth structure, an effective method based on laser scanning for three-dimensional (3D) reconstruction and visual simulation of flower plants is proposed. This method uses laser technology to scan the sample and store it as point cloud data. After applying a series of image analysis and processing techniques such as splicing, denoising, repairing and color correction, the digital data optimized by the sample is obtained accurately and efficiently, and a highly realistic 3D simulation model of the plant is formed. The results of the research indicate that it is a convenient research method for the 3D reconstruction of flower plants and computer vision simulation of virtual plants. It also provides an effective way for in-depth study of scientific experiments and digital protection of rare and endangered plants.

scholarly journals Muscle strength and inflammatory response to the training load in rowers

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e10355
Author(s):  
Tomasz Podgórski ◽  
Alicja Nowak ◽  
Katarzyna Domaszewska ◽  
Jacek Mączyński ◽  
Magdalena Jabłońska ◽  
...  
Keyword(s):  
Muscle Metabolism ◽  
Creatine Kinase Activity ◽  
Lower Limbs ◽  
Total Testosterone ◽  
Blood Biochemical ◽  
Global Force ◽  
Significant Difference ◽  
Muscle Groups ◽  
Torque Values ◽  
The Right

Background Regular exercise leads to changes in muscle metabolism. The consequence of this is the adaptation to higher training loads.The aim of this study was to evaluate biomechanical and biochemical parameters describing the functions of skeletal muscles in periods when changes in training forms were introduced. Methods Seventeen male sweep-oar rowers, members of the Polish national rowing team, participated. The study was carried out at the beginning and at the end of the preparatory period. In the first and second examination measurements of torques of selected muscle groups and blood biochemical analysis were performed. Results There was observed a statistically significant decrease in the relative global force of the right lower limb between both terms of examination. A statistically significant increase in maximum torque was found for torso flexors. In the case of muscles responsible for torso rotation, a statistically significant decrease in the torque values of right torso rotators was observed. A significant difference was found with respect to creatine kinase activity, total testosterone concentration, total testosterone to cortisol ratio and total phenolics concentration (p < 0.05). Conclusion The study shows that the rowers’ training should be more focused on building the strength of lower limbs to prevent the overload of lumbar spine and that the amount of force developed may be significantly affected by the antioxidant potential of rowers.

scholarly journals A NEURAL NETWORK SYSTEM WITH REINFORCEMENT LEARNING TO CONTROL A DYNAMIC ARM MODEL

2001 ◽  
Vol 13 (03) ◽  
pp. 117-123 ◽  
Author(s):  
ILKAY ULUSOY ◽  
MOHAMAD PARNIANPOUR ◽  
NECIP BERME ◽  
SHELDON R. SIMON
Keyword(s):  
Neural Network ◽  
Reinforcement Learning ◽  
Sagittal Plane ◽  
A Priori ◽  
General Pattern ◽  
Initial Position ◽  
Joint Torque ◽  
Network System ◽  
Neural Network System ◽  
Torque Values

A neural network system is presented for controlling a two-link dynamic arm model where the task is to move the arm from any initial position to any final position in the sagittal plane. The controller produces joint torque-lime profiles that begin and end with equilibrium values at the initial and final positions, respectively. A memory type neural network is trained by supervised learning methods to predict the joint's static equilibrium torque values corresponding to joint angles. A reinforcement learning network is used to determine the parameters needed for synthesis of the torque-time profiles for each joint. The reinforcement signal is computed based on the distance between the desired end point position and velocity and the states achieved based on the generated torque profiles. The general pattern of the torque-time plots is decided a priori according to the literature. The methods of training and an illustrative example of the algorithm's performance are presented.

Application of data mining technology and wireless network sensing technology in sports training index analysis

2020 ◽  
Author(s):  
Liqiu Qian ◽  
Jiatong Liu
Keyword(s):  
Data Mining ◽  
Test Accuracy ◽  
Analysis Method ◽  
Sports Training ◽  
Analysis Model ◽  
Data Types ◽  
Mining Technology ◽  
Accuracy Test ◽  
Index Analysis ◽  
Sensing Technology

Abstract The conventional analysis method can provide a general analysis of sports training index, but its ability is relatively low when analyzing niche data. To solve this problem, this paper proposes data mining technology. First, the indicator parameter classification is determined, then the data mining technology is imported, the sports training analysis mechanism is established through this technology, and the construction of the index analysis model is completed. The model is used to analyze the process of niche data mining, and effective data of training indicators are obtained. Deep learning is a method of machine learning based on representation of data.Through the coverage test, accuracy test and immunity test, the variable parameters of the comprehensive analysis capability are determined. Further calculation of this parameter shows that the comprehensive ability of the data mining application analysis method is improved by 37.14% compared with the conventional method, which is suitable for analysis of niche sports training indicators of different data types.

Automatic Thermal Modeling for System Level Design of Electronic Equipment

2003 ◽  
Author(s):  
Kenichiro Aoki ◽  
Koichi Shimizu ◽  
Akira Ueda ◽  
Akira Tamura ◽  
Masanori Motegi
Keyword(s):  
Model Building ◽  
Software Tool ◽  
System Level ◽  
Analysis Model ◽  
Accurate Analysis ◽  
Fluid Analysis ◽  
Analytical Accuracy ◽  
Thermal Fluid Analysis ◽  
Short Time ◽  
Large Investment

The development of hardware needs cost reduction by shortening a development period and reducing experimental man-hour. In order to satisfy these demands, thermal fluid analysis with higher accuracy in short time is indispensable for product development. At present, thermal fluid analyses are conducted using different software tools. Each software tool requires model building and meshing for simulations using its own format. That leads to a large investment in time, and therefore cost. VPS/Simulation-Hub software Fujitsu developed is able to convert data from various CADs. It has the features to create a data fitting to numerical analysis software, create an accurate analysis model, and delete unnecessary components. With these main features, VPS/Simulation-Hub greatly contributes to the man-hour reduction for model building and the improvement of analytical accuracy. In this paper, VPS/Simulation-Hub is introduced with the detail explanation of the above 3 main features.

Dynamics Analysis and Vibration Isolation Design of Shared Foundation on Marine Turbo Generator Set

2013 ◽  
Vol 572 ◽  
pp. 193-196
Author(s):  
Chong Liu ◽  
Chang Hua Qiu ◽  
Lei Gao
Keyword(s):  
High Speed ◽  
Vibration Isolation ◽  
Stable Operation ◽  
Dynamical Response ◽  
Dynamics Analysis ◽  
Analysis Model ◽  
Lumped Mass ◽  
Isolation System ◽  
Vibration Isolation System ◽  
Turbo Generator

Considering the ship's limited space, high speed and miniaturization have been design directions in marine turbo generator set. The shared foundation with steel plate welding is designed to support the marine turbo generator set. Stiffness and dynamic characteristic of the shared foundation will directly affect the stable operation of the turbo generator set. The paper established the dynamics analysis model for the shared frame of marine turbo generator set according to the 'Lumped Mass Method'. Taking account of the frequency-domain analysis operability, the operational modal analysis and dynamical response on foundation were carried out by Virtual Lab. Based on these results; the intensity and location of exciting force were ascertained. And then, we designed the shared foundation vibration isolation system, and analyzed the characteristics of the vibration isolation mounting. The result shows that the vibration isolation system can minimize output force transmissibility and reduce the effect of the marine turbo generator set vibration.

3-D model building for computer vision

1987 ◽  
Vol 5 (5) ◽  
pp. 349-356 ◽  
Author(s):  
B Bhanu ◽  
C.C Ho ◽  
T Henderson
Keyword(s):  
Computer Vision ◽  
Model Building ◽  
D Model

Regression Analysis and Docking Study of 4-Quinolylhydrazone Based Compounds as Antituberculosis Agents

2019 ◽  
Vol 4 (4) ◽  
pp. 248-255
Author(s):  
C.V. Bisen ◽  
M.R. Patle ◽  
R.M. Patle
Keyword(s):  
Regression Analysis ◽  
Model Building ◽  
Biological Activities ◽  
Docking Study ◽  
Biological Properties ◽  
Analysis Model ◽  
Docking Method ◽  
Building Purpose ◽  
Inhibition Studies ◽  
Molecular Docking Method

In present study, at the beginning, the molecules whose biological properties are known are well-thought-out as a known set for regression analysis model building purpose. Using the Datawarrior software the descriptors were calculated for known set. Novel substituted 4-hydrazinylqunoline molecules were designed, improved and their descriptors were calculated. Morever, the regression analysis model was used to determine the biological activities of these new molecules. Along with this, the inhibition studies for 1QPQ and 1KNC by molecular docking method were also carried out to validate the therapeutic nature of these molecules. Accordingly, it can be concluded that these moieties on further studies may evident to be therapeutic representative against Mycobacterium tuberculosis.

scholarly journals Construction and Simulation of Athlete’s Wrong Action Recognition Model in Sports Training Based on Embedded Wireless Communication and Computer Vision

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Naichun Gao
Keyword(s):  
Computer Vision ◽  
Deep Learning ◽  
Action Recognition ◽  
Center Of Gravity ◽  
Knee Valgus ◽  
Sports Training ◽  
Recognition Method ◽  
Total Frequency ◽  
Emg Signal ◽  
Computer Vision Technology

Embedded networking has a broad prospect. Because of the Internet and the rapid development of PC skills, computer vision technology has a wide range of applications in many fields, especially the importance of identifying wrong movements in sports training. To study the computer vision technology to identify the wrong movement of athletes in sports training, in this paper, a hidden Markov model based on computer vision technology is constructed to collect video and identify the landing and take-off movements and badminton serving movements of a team of athletes under the condition of sports training, Bayesian classification algorithm to analyze the acquired sports training action data, obtain the error frequency, and the number of errors of the landing jump action, and the three characteristic data of the displacement, velocity, and acceleration of the body’s center of gravity of the athlete in the two cases of successful and incorrect badminton serve actions and compared and analyzed the accuracy of the action recognition method used in this article, the action recognition method based on deep learning and the action recognition method based on EMG signal under 30 experiments. The training process of deep learning is specifically split into two stages: 1st, a monolayer neuron is built layer by layer so that the network is trained one layer at a time; when all layers are fully trained, a tuning is performed using a wake-sleep operation. The final result shows that the frequency of the wrong actions of the athletes on the landing jump is concentrated in the knee valgus, the total frequency of error has reached 58%, and the frequency of personal error has reached 45%; the problem of the landing distance of the two feet of the team athletes also appeared more frequently, the total frequency reached 50%, and the personal frequency reached 30%. Therefore, athletes should pay more attention to the problems of knee valgus and the distance between feet when performing landing jumps; the difference in the displacement, speed, and acceleration of the body’s center of gravity during the badminton serve will affect the error of the action. And the action recognition method used in this study has certain advantages compared with the other two action recognition methods, and the accuracy of action recognition is higher.

scholarly journals Simple cephalo-caudal patterns embedded in complex human interpersonal behavior

2013 ◽  
Author(s):  
Valli Kiran Manduva
Keyword(s):  
Human Behavior ◽  
Motor Neurons ◽  
Model Building ◽  
Motor Behavior ◽  
Comparative Psychology ◽  
External Genitalia ◽  
Lower Limbs ◽  
Interpersonal Behavior ◽  
The Social ◽  
Secondary Layer

A novel model is presented to explain human social behavior. In recent years, a cephalo-caudal directionality to behavior has been reported in a few mammals including rodents, cattle and cats. This model shows how complex human behavior also follows this rule of cephalo-caudal directionality. The positions of the lower motor neurons mediating the specific acts in the cephalo-caudal neural axis are considered to be an important correlate of the act. The model consists of a primary layer, consisting of the orienting modules – eyes, head and body and a secondary layer consisting of the six transmitting channels – the eyes, facial expression, speech, upper limbs, lower limbs and the external genitalia. The model demonstrates through multiple examples that complex human behavior also follows a cephalo caudal directionality, both in the orienting modules as well as in the transmitting channels. In this paradigm, conciliatory and agonistic communications are examined as prototypes for analysis of more complex dominant and submissive behavior as well as psychiatric conditions such as mania and depression. The model is sensitive to the social context of behavior which is without precedent in the literature. Further, the concept of ‘mobility gradient’ is applied to human behavior to understand motor behavior in depression and mania and catatonic behavior. Finally, certain issues pertinent to difficulties of behavioral description and model building in human behavior are discussed. The model emphasizes the role of objective behavioral description paradigms that borrow from concepts in comparative psychology and animal behavior.

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