Martial Arts Movements Research Articles

Simulation of Human Movement in Zero Gravity.

In the era of expanding manned space missions, understanding the biomechanical impacts of zero gravity on human movement is pivotal. This study introduces a novel and cost-effective framework that demonstrates the application of Microsoft's Azure Kinect body tracking technology as a motion input generator for subsequent OpenSim simulations in weightlessness. Testing rotations, locomotion, coordination, and martial arts movements, we validate the results' realism under the constraints of angular and linear momentum conservation. While complex, full-body coordination tasks face limitations in a zero gravity environment, our findings suggest possible approaches to device-free exercise routines for astronauts and reveal insights into the feasibility of hand-to-hand combat in space. However, some challenges remain in distinguishing zero gravity effects in the simulations from discrepancies in the captured motion input or forward dynamics calculations, making a comprehensive validation difficult. The paper concludes by highlighting the framework's practical potential for the future of space mission planning and related research endeavors, while also providing recommendations for further refinement.

Demonstration and Analysis of DRN Deep Learning Architecture for Step-by-Step Disassembly of Dahongquan

Abstract The Dahongquan martial arts style is characterized by its intricate and varied maneuvers, posing challenges for traditional video demonstrations to fully satisfy learners’ needs. This study introduces a cutting-edge approach utilizing a visual neural network to deconstruct and map these martial arts movements in a 3D virtual environment. Initially, preprocessing involves extracting data from exercise videos, employing a combination of video annotation and skeleton feature extraction. Subsequently, a deep residual network (DRN) with multi-scale feature extraction and dense residual attention mechanisms is employed, facilitating a systematic breakdown of the martial arts movements. The third phase involves constructing a 3D action mapping and demonstration process, utilizing cubic B-spline curve fitting and cylinder deformation techniques to enhance the representation of movement based on the skeletal model. Remarkably, the DRN network, without the need for extensive training datasets, achieves flawless recognition of various gongfu combinations and records a recognition rate of 92.92% for the most challenging boxing movements. The efficacy of this model is further corroborated by its enhancement of the demonstration process, achieving an overall learner satisfaction rating of 5.26. The disassembly and demonstration strategy proposed in this study has proven effective during experimental sessions, demonstrating significant potential for advancing martial arts training methodologies.

Research on the Design and Practical Effectiveness of Intelligent Teaching Mode Design for the Integration of Wushu and Ethnic Traditional Sports Culture

Abstract As an important part of Chinese culture, national sports culture not only has profound cultural connotations but also has rich cultural value. This paper proposes a path that integrates national sports culture and martial arts into teaching, focusing on three key aspects: diversification, scientification, and digitization. The neural network operator Involution improves the recognition accuracy of the human pose estimation model after addressing network degradation issues with the deep residual network. We preprocess the collected pose images to extract human wushu pose features from both static and dynamic directions. The feature data is inputted to the encoder to extract martial arts poses. Simulation experiments verify the error correlation between two-dimensional martial arts movements and three-dimensional angles. In the backside horse stance punch movement, the 7th frame of the left knee and right knee, the 3rd frame of the left hip, and the 1st, 2nd, 5th, and 7th frames of the right hip exhibit significant errors, while the remaining keyframes fall within the acceptable range. Through empirical investigation, we analyze the teaching effect of integrating Wushu and national traditional culture. Following the experiment, we observed an average score difference of 8.91 points in the degree of sports participation between the experimental group and the control group, with a P value of less than 0.01. There is a significant difference between the two integrations. The integration of the teaching effect is good.

Biomechanical analysis of the danger of the whip-leg striking maneuver in martial arts sparring bouts

Abstract This paper recognizes the human motion in martial arts movements based on the LSTM recurrent neural network algorithm, which uses signal statistics to extract the action time series features through the data collection from the relevant human motion sensors in order to effectively recognize the athletes’ movements. The parameter settings of the LSTM neural network model are optimized using an improved particle swarm algorithm. The experimental process is then created. After filming the video, it is divided into two documents, A and B, and saved. The experimenter’s actions undergo technical analysis using LSTM. Three groups of athletes were invited to carry out the actual test after the design was completed, and biomechanical analysis was performed based on the experimental data. The experiments showed that the activation of the left medial femoral muscle of the athletes was greater than that of the left lateral femoral muscle, and the root mean square of electromyography was 25.38±11 and 27.54+11, respectively. The angle of the left leg was 69±2.5, and that of the right leg was 71±9.2, which was more than 80% of the safe rotational amplitude. It is easy to cause sports injury if there is too much difference in the activation level of leg muscles during whiplash.

Edge computing-based big data privacy preservation in motion trajectory prediction for martial arts training

Abstract The development of big data technology has brought about sweeping changes in many fields. Privacy protection has become a key concern for big data users. The study constructs a geographically indistinguishable location-based privacy protection mechanism based on differential privacy and geographic indistinguishability and further constructs an edge computing-based privacy protection model for martial arts movement trajectories. The performance of an edge computing-based privacy protection model for martial arts sports trajectory is examined by comparing it to other models in terms of quality of service loss, privacy protection strength, and range counting queries. And explore the effects of service type and number of users on the system. The perturbation distance on all three time periods of the Geo-In method proposed in this paper is the smallest among the five methods, and the perturbation distance decreases with the increase of the privacy budget, and the loss of quality of service is minimized. The Geo-In algorithm’s perturbed locations have less semantic similarity to the real locations of martial arts training, resulting in stronger privacy protection of the locations. Range counting queries experience a decrease in relative error as the number of users and query range increase.

Mutual interference between memory encoding and motor skills: the influence of motor expertise.

In cognitive-motor dual-task situations, the extent of performance decrements is influenced by the attentional requirements of each task. Well-learned motor skills should be automatized, leading to less interference. This study presents two studies combining an episodic memory encoding task with well-practiced motor tasks in athletes. Study 1 asked 40 rowers (early teenagers to middle adulthood) to row on ergometers at slow or fast speeds. In study 2, Taekwondo athletes (n = 37) of different skill levels performed a well-practiced sequence of martial arts movements. Performing the motor task during encoding led to pronounced performance reductions in memory in both studies, with costs of up to 80%. Cognitive costs were even larger when rowing with the fast compared to the slow speed in study 1. Both studies also revealed decrements in motor performances under dual-task conditions: Rowing became slower and more irregular (study 1), and the quality of the Taekwondo performance was reduced. Although higher-level athletes outperformed others in motor skills under single-task conditions, proportional dual-task costs were similar across skill levels for most domains. This indicates that even well-practiced motor tasks require cognitive resources.

Martial Arts: Orthopaedic Injuries and Related Biomechanics.

Martial arts are various systems of combat skills encompassing striking and grappling. Many styles have evolved into modern sports, and some have been included in the Olympics. The physicality of these can predispose practitioners to musculoskeletal injuries, such as anterior cruciate ligament ruptures; patellar, shoulder, or elbow instabilities; extremity fractures; and hand and spine injuries, which have been studied both clinically and biomechanically. The most common injury related to longer time loss from participation is an anterior cruciate ligament rupture. Higher injury incidence is associated with a higher level of experience and competition. Orthopaedic management of martial arts injuries should reflect the specific needs of each martial artist and the biomechanics of motions common to each style. Full-contact practitioners may benefit from broader surgical indications and special attention to the choice and positioning of implants; nonsurgical treatment may be appropriate for certain pediatric or noncontact practitioners. Approximately 60% of martial artists can return to the preinjury level of participation after a major injury. Injury prevention and rehabilitation programs should optimize neuromotor control and core engagement to ensure proper body mechanics. Gradual incorporation of martial arts movement into the postoperative physical therapy curriculum can benefit physical progress and help gain confidence toward full participation.

Adaptive enhancement design of non-significant regions of a Wushu action 3D image based on the symmetric difference algorithm.

The recognition of martial arts movements with the aid of computers has become crucial because of the vigorous promotion of martial arts education in schools in China to support the national essence and the inclusion of martial arts as a physical education test item in the secondary school examination in Shanghai. In this paper, the fundamentals of background difference algorithms are examined and a systematic analysis of the benefits and drawbacks of various background difference algorithms is presented. Background difference algorithm solutions are proposed for a number of common, challenging problems. The empty background is then automatically extracted using a symmetric disparity approach that is proposed for the initialization of background disparity in three-dimensional (3D) photos of martial arts action. It is possible to swiftly remove and manipulate the background, even in intricate martial arts action recognition scenarios. According to the experimental findings, the algorithm's optimized model significantly enhances the foreground segmentation effect of the backdrop disparity in 3D photos of martial arts action. The use of features such as texture probability is coupled to considerably enhance the shadow elimination effect for the shadow problem of background differences.

Inheritance and Development of Ansai Waist Drum

The Ansai waist drum is a traditional folk art form originating from Shaanxi Province and is an important part of the local culture. It incorporates elements of dance and martial arts movements, creating a unique and magnificent style that reflects the simple and optimistic nature of the people of Shaanxi. As time has passed, the original military function of the waist drum has disappeared, and it has evolved into a form of entertainment and fitness. Today, people perform and enjoy the Ansai waist drum in various social gatherings and activities, as well as in spontaneously organized community events.

Retracted: Mobile Terminal Equipment and Methods of Martial Arts Movement Correction in Intelligent Physical Education Environment.

[This retracts the article DOI: 10.1155/2022/7390836.].

PORTUGUÊS AO PÉ DO BERIMBAU: SOBRE A CAPOEIRA COMO UMA LÍNGUA ADICIONAL

ABSTRACT From its historical origins as a resistant and violently repressed bundle of music, dance and martial arts practices of the African diaspora in Brazil, capoeira has travelled, becoming a global phenomenon with groups and networks in diverse sites around the world, including London, Cape Town and Hong Kong and indeed Leeds where this research was based. We focus on the linguistic, cultural and embodied ensemble of capoeira, researching a capoeira group with diverse participants led by Sandro, a Brazilian contramestre, providing a rich laboratory for what has been called language learning “in the wild”, specifically of the Afro-Brazilian linguistic and cultural practices (music, movement, lyric, voice) that are a crucial element of the capoeira ensemble. These linguistic and cultural practices contingently bring together, in rehearsal and performance, the characteristic capoeira dance/ martial arts movements, the pervasive regulation of rhythm and the apprenticeship of the body into its rhythm and movement. Seen from the perspective of informal language learning the capoeira group seems to constitute a near optimal context. We will explore the affordances of the capoeira group for linguistic/cultural/embodied learning of Afro-Brazilian Portuguese, drawing on the “maximalist” framework for translanguaging (BAYNHAM; LEE, 2019), which we extend to encompass the pervasive musical aspect of capoeira, linking these to contemporary perspectives on language learning, particularly informal language learning and language learning “in the wild”.

Development of an E-Book-Based Guidebook for Gorontalo Langga Martial Arts Movement

This study aims to develop an E-Book-Based Guidebook for Gorontalo Langga Martial Arts Movement. Gorontalo itself is a province located in Indonesia, precisely on the northern island of Sulawesi. This research uses research and development methods. The experimental subjects used in this research and development were Gorontalo cultural experts, 10 small group trials, and 20 large group trials. The data obtained in this research and development are qualitative and quantitative. Quantitative data was obtained from the results of the questionnaire which will be divided into product trials, the questionnaire used is an assessment questionnaire. This development model includes product analysis, product development, expert validation and revision, product testing, and final product manufacture. As a result, this book was declared feasible in a large-scale trial with 90% results. In conclusion, this book can be given and circulated widely to the general public.

Mobile Terminal Equipment and Methods of Martial Arts Movement Correction in Intelligent Physical Education Environment.

In recent years, the physical quality of middle school students in China has generally declined, which has attracted the attention of the state and the Ministry of education. With the development of Internet technology, China's physical education teaching environment has gradually become intelligent. This article mainly studies the mobile terminal equipment and methods of martial arts movement correction in the intelligent physical education environment. 21 young martial arts athletes were selected as the research objects. In the experiment, functional screening (FMS) was used to test the martial arts athletes, followed by FMS tests and scores. A video camera was used to record the motion test from the subjects' sagittal and frontal planes. Using wireless sensor technology to collect the athletes' motion signals, after the twelfth week, the FMS, SEBT, and the number of successful routines were tested on the two groups of athletes, respectively. The pre-test data and the post-correction data of the two test indicators were compared and analyzed. There is no significant difference. The necessary statistics and integration of the obtained data are carried out by using the calculation methods in sports statistics. The experimental data showed that the average total scores of FMS screening test of Changquan athletes and Taijiquan athletes were 14.71 ± 1.52 and 16.20 ± 1.32, respectively. The results of the research on the mobile terminal equipment and methods of martial arts movement correction in the intelligent sports environment show that the mobile terminal equipment can improve the independent training ability of athletes, and at the same time has a good correction effect on irregular movements.

Visual Analysis Of Pencak Silat Movements Modification Through Camera Techniques In The Raid 2 Movie

The purpose of this study is to find the visual modifications of Pencak silat movements in The Raid 2 movie through camera movement techniques. The martial arts movements used in The Raid 2 movie have been modified according to the needs of the movie. A descriptive qualitative method was used to collect and process data and information that was needed for this research. The author of this research also did a visual analysis of the Pencak silat movements that were shown in several selected scenes. The analysis was carried out by choosing several scenes from The Raid 2 movie and analyzing the camera movement techniques such as tilting, following, and panning in the selected scenes. The results of this study indicate that in The Raid 2 movie, there are Pencak silat movements that have been modified according to the needs of the film that was analyzed from camera movement techniques. And this research can describe how the original movement has been modified according to the interests of a film. This research also found that the Pencak silat movements modification as the result of mixing traditional martial arts and modern movie technology raises the interest of the audience.

Wushu Routine Movement and Diagnosis Based on Deep Learning and Symmetric Difference Algorithm.

Wushu is one of the traditional cultural symbols of the Chinese nation. It is also one of the most popular sports activities among the people. With the attention and love of contemporary people to sports activities, Wushu is also constantly developing and innovating. The requirements for professional martial arts routines of martial arts athletes are higher than ever. The development of martial arts has also made martial arts competitions more intense, and often a small detail of martial arts movements can determine the success or failure of the competition. Therefore, various Wushu teams pay more and more attention to the analysis and diagnosis of Wushu routines. It ensures that coaches and athletes can obtain more quantitative indicators of technical movement training. The analysis and diagnosis of martial arts routines are inseparable from the support of reliable science and technology and related algorithms. This article aims to study the analysis and diagnosis of martial arts routines based on deep learning and symmetric difference algorithm. It combines deep learning and symmetric difference algorithm to analyze and diagnose martial arts routines. The article concludes that the level of martial arts routines of martial arts athletes has the greatest influence on their martial arts competition performance, and its comprehensive influence index is as high as 4.3.

Biomechanical Analysis of Martial Arts Movements Based on Improved PSO Optimized Neural Network

Monitoring the development trend of martial arts biomechanics, which provides ideas for the scientific research of martial arts. It also proposes discussions and suggestions based on research results in related fields. As a traditional sport in China, martial arts have been around for a long time, and there is still a lot of research space. The biomechanical research of Wushu must be contemporary, forward-looking, and creative, and fully meet the needs of Wushu. This paper adopts the bibliometric method: it conducts statistical analysis on the research status and development trend of core journals and master and doctoral dissertations in the field of sports from 2011 to 2015. It aims to understand the latest developments in the biomechanical research of martial arts routines in the field of Chinese sports. The results show that the BP neural system model effectively improves the accuracy, recall, and F value of test classification. In the Naive Bayes method, the accuracy of the opening report is only 77.1%, the recall rate is 75.8%, and the F value is 76.3%. In the literature method, the accuracy of the opening report is 82.2%, the recall rate is 83.5%, and the F value is 82.8%. In the text method, the accuracy of the opening report is 86.5%, the recall rate is 88.3%, and the F value is 87.2%. In contrast, it outperforms simple Bayesian algorithms and methods in the literature.

Recognition Method of Wushu Human Complex Movement Based on Bone Point Feature

The existing recognition methods of complex human movements in Wushu have the problem of imperfect kinetic energy model, which leads to low recognition accuracy. A complex human motion recognition method based on bone point features is designed. Identify martial arts movement posture, combine the upward movement of human center of gravity trajectory, establish the kinetic energy model of joints according to the positioning results of extremity points, set the threshold of local spatial differences of human bones with the central node of hip joint as the center point, avoid overcalculation, and optimize the complex motion identification process by combining the characteristics of bone points. Experimental Results. The correct rate of different types of actions identified by this method is 90.1% and 92.7%, and the identification time is 1.2 s and 1.41 s, which shows that this method can identify actions quickly and effectively by combining the feature information of bone points.

Analysis of the Effect of Martial Arts on Students' Physical and Mental Health Based on Internet of Things Technology

In order to explore the effect of martial arts on the improvement of students' physical and mental health, this article combines the Internet of Things technology to construct a martial arts learning platform. Moreover, this study improves the IoT node technology and energy consumption algorithm to reduce the system energy consumption of the IoT system, improve the operating efficiency of the IoT technology, and improve the accuracy of martial arts movement recognition and the effect of data transmission. In addition, this study combines the skeleton model to construct the martial arts action 3D human body model. The platform can be used as an intelligent system to improve the physical and mental health of students. In order to study the effect of martial arts on the improvement of students' physical and mental health, this study uses the system constructed as a test platform to allow college students to learn martial arts through this system platform and combines the questionnaire method to count the improvement of physical and mental health of students after learning martial arts. The experimental research results show that the martial arts learning platform based on the Internet of Things technology can play an important role in improving the physical and mental health of students.

Learning of Martial Arts Action Decomposition Method Based on Image Recognition

In order to improve the effective guidance of martial arts movements, a decomposition method of martial arts movements based on image recognition is proposed. First of all, visual image target sampling of martial arts action is performed, and most of the noise background is eliminated through morphological gradient operation. Then, the contour edge of the human body is obtained, the contour edge of each frame of the video is extracted, and the accumulation is realized in the same image. Using accumulation, the edge image calculates the grid-based HOG to obtain the image action feature vector. Secondly, using the improved dynamic time warping theory combined with the characteristics of the angle change of each joint under the action time sequence, the joint change sequence among various martial arts movements can be identified in order to realize the decomposition process of martial arts actions based on image recognition. The experimental results show that the use of image recognition can effectively decompose martial arts movements.

The Heaven — The Earth

What causes a person to feel empty inside? How do they get to that point in their life, and how do they get out of it? In this symbolic and absurd work of philosophical short story fiction, Morton is at work when he realizes a hole is growing in his belly. It doesn’t hurt, and it’s not bleeding, but it is definitely there. He excuses himself from work to head home, worried that he will catch his wife cheating on him. However the house is empty. He opts to take off his clothes, exposing the growing hole, to do martial arts movements. He is out of shape and older now, and quickly gets winded. Suddenly a bird flies in his window, then another, and another, until is home is full of birds. He tries to protect his growing hole until, eventually, he decided to let a bird into it. He quickly shoves the bird into the hole and traps it in his stomach. No telling how long he can keep it there. His phone rings, it’s his wife calling to make dinner plans. For the first time, he feels purpose.