Biomechanical Analysis Research Papers - Academia.edu (original) (raw)
Purpose: The Purpose of this study was to investigate ball velocity of instep and inside foot kicks of university level soccer players. Method: The participants sample consisted twenty university soccer players from Fiji National... more
Purpose: The Purpose of this study was to investigate ball velocity of instep and inside foot kicks of university level soccer players. Method: The participants sample consisted twenty university soccer players from Fiji National University, Fiji. All participants have minimum of four years playing experience. The participants delivered instep and inside foot kicks using the right leg. Participants wore a complete soccer kit. Two cameras were used for this study. The cameras intersected each other perpendicularly on sagittal and frontal plans. Motion Analysis Tools (MAT) software was used to determine the ball velocity and IBM SPSS 30 was used to calculate pair t-test involving two tail tests to determine the significant difference of the ball velocity of university soccer players. Results: The results of the study indicate that the mean velocity of instep soccer kick is higher than the mean velocity of the inside foot soccer kicks. A significant difference also exists at the .05 level between the instep and the inside foot soccer kicks of the participants. Conclusion: It can be concluded that the inside foot kick resulted in a lower ball velocity than the instep kick on the part of the university level players.
— In this work an attempt is made to derive suitable models to investigate the effect of the joints constrained on human gait due to wearing bracing devices at lower limbs. Linkages concept are used to model the leg segments and evaluate... more
— In this work an attempt is made to derive suitable models to investigate the effect of the joints constrained on human gait due to wearing bracing devices at lower limbs. Linkages concept are used to model the leg segments and evaluate GRF and friction force. Three models for normal, AFO and KAFO are presented. The presented models are semi analytic since some input data are needed to be evaluated experimentally. In this regard the joint angles are evaluated from video analysis of individual walking on Treadmill. KINOVEA program is used to track the joints angles for the stance phase of gait cycle, and the MATLAB program is used to estimate the angular displacement as a function of time. To validate the results some experiments on force plate were conducted for the three mentioned cases. The results showed good agreements and that the suggested models are succeeded for describing the human gait parameters for normal and abnormal gait. Index Term-Ankle Foot Orthosis AFO, Knee Ankle Foot Orthosis KAFO, Ground Reaction Force GRF, Normal Gait.
Sports ballroom dancing is a type of sports activity that makes serious demands on the development of new motor actions, the manifestation of reaction speed, the ability to concentrate and switch attention, and many more parameters.... more
Sports ballroom dancing is a type of sports activity that makes serious demands on the development of new motor actions, the manifestation of reaction speed, the ability to concentrate and switch attention, and many more parameters. Success in sports dance competitions depends not only on natural skills but also to a greater extent on a sportsman's practical training. The analysis of the biomechanics of sports dance and the characteristics of the sportsman's dynamic data suggest assessing the feasibility, efficiency, improvement of the technique of the performed motor action, which determines the goals of the development of the motor abilities of young sportsmen at an early stage. Based on knowledge of biomechanics, it is easier for a teacher to teach his pupils. But for this, it is necessary to be able to analyze motor activity and indicate the direction of active search, form a motor task and, based on the foundations of biomechanics, the necessary fundamentals of technology. Information about the biomechanical structure of the movement is used both in the formation of the technique of motor actions of beginner dancers and in its improvement in qualified dancers. This is what determines the relevance of the study; therefore, the purpose of the article is to identify the features of movements in sports dances using their biomechanical analysis. The authors carried out a theoretical and methodological analysis of special literature on biomechanical analysis of sports dance, which allowed them to analyze the movements of two dances. The analysis made it possible to reveal the peculiarities of the performance of these dances, which means that making adjustments to special preparatory exercises with a similar amplitude of the knee joints will lead to better training of sportsmen. Also, this analysis effectively improves the skill level of performing dance steps by experienced dancers because it clearly shows all the features of the movement at a particular moment.
Electromyogram signals (EMGs) contain valuable information that can be used in man-machine interfacing between human users and myoelectric prosthetic devices. However, EMG signals are complicated and prove difficult to analyze due to... more
Electromyogram signals (EMGs) contain valuable information that can be used in man-machine interfacing between human users and myoelectric prosthetic devices. However, EMG signals are complicated and prove difficult to analyze due to physiological noise and other issues. Computational intelligence and machine learning techniques, such as artificial neural networks (ANNs), serve as powerful tools for analyzing EMG signals and creating optimal myoelectric control schemes for prostheses. This research examines the performance of four different neural network architectures (feedforward, recurrent, counter propagation, and self organizing map) that were tasked with classifying walking speed when given EMG inputs from 14 different leg muscles. Experiments conducted on the data set suggest that self organizing map neural networks are capable of classifying walking speed with greater than 99% accuracy.
The purpose of this study was to identify whether the motor pattern of forward walking (FW) and backward walking (BW) affects the neural control and kinematics of lower limbs. A 21-camera 3D motion analysis system was used for the... more
The purpose of this study was to identify whether the motor pattern of forward walking (FW) and backward walking (BW) affects the neural control and kinematics of lower limbs. A 21-camera 3D motion analysis system was used for the examination of locomotion. The activation of seven muscles of the right leg was recorded. The motion analysis was performed during FW and BW on a treadmill with the subjects (n=15) walking at four different inclines. The primary analysis of the complexity of variability of the kinematics and neural data was assessed using Principal Component Analysis (PCA). The complexity of gait pattern during FW appears more varied than during BW across all inclines. The associated muscles with each component were different during FW and BW.