scholarly journals Research on Long Jump Posture in School Physical Education Teaching Based on Video Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Tianchang He ◽  
Danyang Lv ◽  
Zehao Li
Keyword(s):  
Quantitative Analysis ◽  
Physical Education ◽  
Video Analysis ◽  
Video Processing ◽  
Human Movement ◽  
Video Data ◽  
Trajectory Data ◽  
Processing Technologies ◽  
Long Jump ◽  
Skill Improvement

Based on video, the human movement can be analyzed to achieve scientific training and skill improvement. Specifically, according to the video data during the movement, the human body can be detected and tracked, and relevant trajectory data can be obtained. On this basis, key motion parameters can be obtained and quantitative analysis of motion can be achieved. This paper uses video processing technologies to analyze the long jump posture in physical education. According to the video sequences measured during the athlete’s long jump, the target detection and tracking algorithms are used to obtain the athlete’s trajectory after preprocessing. Afterwards, further processing is carried out to calculate speed, angle, posture, and other related information to assist scientific sports training. The experimental results based on the measured data show that the algorithm can realize the analysis of the long jump scene and complete the quantitative analysis of the key indicators of the athletes. The research results can effectively support school physical education and guidance training and also provide a reference for other competitive video analysis.

THE EFFECTIVENESS OF PROBLEM-BASED LEARNING APPROACH IN THE TEACHING OF HANG STYLE LONG JUMP

2020 ◽  
Vol 13 (2) ◽  
pp. 24-30
Author(s):  
Octavianus Cahyanto Adhie
Keyword(s):  
Physical Education ◽  
Learning Outcomes ◽  
Quantitative Research ◽  
School Context ◽  
Problem Based Learning ◽  
Learning Approach ◽  
Learning Improvement ◽  
Learning Attitudes ◽  
Long Jump ◽  
Students Attitudes

The learning improvement of physical education can be done through implementing learning approach which is suitable for 21st Century era. This research is a descriptive quantitative research which aims to describe the effectiveness of the hang style long jump learning using problem-based learning approach based on students’ learning outcomes and attitude in vocational high school context. The subject of the research were students of  X ATR 1 and X TKRO 1 students of SMKN 1 Cangkringan. The data were obtained from the result of observation sheets, learning outcome tests, and questionnaire of students’ attitudes towards learning. The result showed that hang style long jump learning using problem-based learning approach was effective based on students’ learning outcomes and learning attitudes. The passing students reached 100% for X ATR 1 students and 80,65% for X TKRO 1 students.  The students’ learning attitudes towards physical education subject in the category of minimum more than 80% high were 100% for X ATR 1 students and 90.32% for X TKRO 1 students.

Bayes Performance of Batch Data Mining Based on Functional Dependencies

2019 ◽  
Vol 33 (03) ◽  
pp. 1959011
Author(s):  
Haixu Xi ◽  
Feiyue Ye ◽  
Sheng He ◽  
Yijun Liu ◽  
Hongfen Jiang
Keyword(s):  
Data Mining ◽  
Data Processing ◽  
Video Processing ◽  
Mining Area ◽  
Batch Processing ◽  
Video Data ◽  
Batch Processes ◽  
Functional Dependencies ◽  
Workflow System ◽  
Traffic Video

Batch processes and phenomena in traffic video data processing, such as traffic video image processing and intelligent transportation, are commonly used. The application of batch processing can increase the efficiency of resource conservation. However, owing to limited research on traffic video data processing conditions, batch processing activities in this area remain minimally examined. By employing database functional dependency mining, we developed in this study a workflow system. Meanwhile, the Bayesian network is a focus area of data mining. It provides an intuitive means for users to comply with causality expression approaches. Moreover, graph theory is also used in data mining area. In this study, the proposed approach depends on relational database functions to remove redundant attributes, reduce interference, and select a property order. The restoration of selective hidden naive Bayesian (SHNB) affects this property order when it is used only once. With consideration of the hidden naive Bayes (HNB) influence, rather than using one pair of HNB, it is introduced twice. We additionally designed and implemented mining dependencies from a batch traffic video processing log for data execution algorithms.

scholarly journals THE EFFECTS OF THE ARTHISTIC GYMNASTICS PROGRAM ON PHYSICAL FITNESS OF ADOLESCENTS

2019 ◽  
pp. 385
Author(s):  
Marija Miletić ◽  
Hadži Saša Ilić ◽  
Miljan Jeremić ◽  
Milutin Parlić ◽  
Igor Ilić ◽  
...  
Keyword(s):  
Physical Education ◽  
Physical Fitness ◽  
Vertical Jump ◽  
Experimental Period ◽  
Main Phase ◽  
Control Group ◽  
Measuring Instruments ◽  
Standing Long Jump ◽  
Long Jump ◽  
Discriminatory Analysis

The aim of the research is to determine the effects of the arthistic gymnastics program on the Physical fitness of adolescents. The sample of participants consisted of 28 participants, males, aged 14 years ± 6 months, seventh grade of "Bubanjski Heroji" elementary school in Niš. The sample was divided into two subgroups. The experimental group (EG) consisted of 14 participants who, during the experimental period, realized the program of artistic gymnastics during the main phase of a physical education class, ten weeks in two classes of 45 minutes. The control group (CG) consisted of 14 participants who during the experimental period realized the program contents of regular physical education in the main phase of physical education. The sample of motorized measuring instruments consisted of three variables of explosive power (standing long jump, triple jump off the site and vertical jump) and three variants of sprint run (20m flat out with a flying start flat out with a flying start, 30m flat out with a flying start flat out with a flying start and 50m flat out with a flying start flat out with a flying start). The program "Statistica" 8.0 for Windows was used, for calculation of basic statistics, canonical discriminatory analysis and multivariate analysis of covariates. The results of the study showed that there are statistically significant effects of the use of the artistic gymnastics exercises in the main part of the physical education course on the Physical fitness of the adolescent of the EG at the end of the experimental period.

scholarly journals O APRIMORAMENTO DAS CAPACIDADES FÍSICAS VELOCIDADE, POTÊNCIA E AGILIDADE ATRAVÉS DO TREINAMENTO DE FLEXIBILIDADE

2019 ◽  
pp. 156-170
Keyword(s):  
Physical Education ◽  
Field Research ◽  
Control Group ◽  
Power Performance ◽  
Jump Test ◽  
Post Test ◽  
Long Jump ◽  
Flexibility Training ◽  
Quantitative Descriptive ◽  
Physical Capacities

The objective of this research was to analyze whether flexibility training can improve agility, speed, and power performance, during physical education classes or not. This is a quantitative, descriptive and field research, with 5th grade students duly enrolled at Prof.ª Hilda Romazini Melo School, União da Vitória- PR, in the year 2018. In order to perform the study, the students were divided into two different samples, sample A for the experimental group, which did flexibility training for 8 weeks, and sample B, control group, both of them did the pre and post test of the physical capacities. In order to collect data, pre and post-tests were performed for each physical capacities analyzed: square agility test, to measure agility, Wells Bank to measure flexibility, 20-meter test to measure speed and Long Jump test to check power. Furthermore, it was observed that the training improved besides the flexibility, the power of the students in 100%. Nevertheless, it was possible to realize that the training helped the students to keep the speed and it is not possible to say whether the training benefits the agility of students or not. Thus, the research leaves the suggestion of giving sequence to its elaboration, since this subject, has extreme relevance and should gain prominence in Physical Education and related areas.

scholarly journals A Deep Learning Enhanced Novel Software Tool for Laryngeal Dynamics Analysis

2021 ◽  
pp. 1-15
Author(s):  
Andreas M. Kist ◽  
Pablo Gómez ◽  
Denis Dubrovskiy ◽  
Patrick Schlegel ◽  
Melda Kunduk ◽  
...  
Keyword(s):  
Neural Networks ◽  
Quantitative Analysis ◽  
High Speed ◽  
Voice Disorders ◽  
Vocal Folds ◽  
Video Data ◽  
Audio Data ◽  
Fully Automatic ◽  
Video And Audio

Purpose High-speed videoendoscopy (HSV) is an emerging, but barely used, endoscopy technique in the clinic to assess and diagnose voice disorders because of the lack of dedicated software to analyze the data. HSV allows to quantify the vocal fold oscillations by segmenting the glottal area. This challenging task has been tackled by various studies; however, the proposed approaches are mostly limited and not suitable for daily clinical routine. Method We developed a user-friendly software in C# that allows the editing, motion correction, segmentation, and quantitative analysis of HSV data. We further provide pretrained deep neural networks for fully automatic glottis segmentation. Results We freely provide our software Glottis Analysis Tools (GAT). Using GAT, we provide a general threshold-based region growing platform that enables the user to analyze data from various sources, such as in vivo recordings, ex vivo recordings, and high-speed footage of artificial vocal folds. Additionally, especially for in vivo recordings, we provide three robust neural networks at various speed and quality settings to allow a fully automatic glottis segmentation needed for application by untrained personnel. GAT further evaluates video and audio data in parallel and is able to extract various features from the video data, among others the glottal area waveform, that is, the changing glottal area over time. In total, GAT provides 79 unique quantitative analysis parameters for video- and audio-based signals. Many of these parameters have already been shown to reflect voice disorders, highlighting the clinical importance and usefulness of the GAT software. Conclusion GAT is a unique tool to process HSV and audio data to determine quantitative, clinically relevant parameters for research, diagnosis, and treatment of laryngeal disorders. Supplemental Material https://doi.org/10.23641/asha.14575533

scholarly journals ANALYSIS OF DRIVER BEHAVIOR IN VEHICLE FOLLOWING AND LANE CHANGING PARAMETERS ON URBAN MID BLOCK SECTIONS

2021 ◽  
Vol 9 (2) ◽  
pp. 1169-1177
Author(s):  
Sowjanya, Et. al.
Keyword(s):  
Road Traffic ◽  
Driver Behavior ◽  
Video Data ◽  
Heterogeneous Traffic ◽  
Heterogeneous Environments ◽  
Trajectory Data ◽  
Lateral Direction ◽  
Lane Changing ◽  
Traffic Conditions ◽  
Road Section

In mixed traffic situations, there is weak or no lane behavior of the driver much more complicated where vehicle and driver behavior show a huge difference between them. Road traffic driving behavior on urban midblock sections is one of the most complex phenomena to be examined particularly in heterogeneous traffic conditions. This is often attributed to the capacity of the road section and the traffic flow features at the macroscopic and microscopic level of a road section. Very few researchers have attempted to investigate these features in heterogeneous environments because of the lack of adequate information gathering methods and the amount of complexity involved. In this background, an access controlled mid block road section was selected for video data collection. The main objectives of this study include developing vehicular trajectory data and analyzing the lane changing and vehicle following behavior of driver on the mid block section considering the relative velocities and relative spacing between various types of vehicles under heterogeneous traffic conditions.  The videos were collected from urban roadway in the Kurnool district of Andhra Pradesh. The length of the stretch is 120m and the width is 7.0 m. The data was extracted to know the variations in terms of longitudinal and lateral speeds, velocities, vehicle following and lane changing behavior of the drivers. The data extracted was smoothened by moving average method to minimize the human errors. Lateral amplitude of the vehicles of various types was analyzed. The study revealed that vehicles in the mixed stream, in general and in particular, Bikes and Autos particularly move substantially in the lateral direction.

Parallel-Pipelined Video Processing in Multicore Heterogeneous Systems on Chip

2021 ◽  
Vol 26 (2) ◽  
pp. 172-183
Author(s):  
E.S. Yanakova ◽  
◽  
G.T. Macharadze ◽  
L.G. Gagarina ◽  
A.A. Shvachko ◽  
...  
Keyword(s):  
Video Processing ◽  
High Efficiency ◽  
Heterogeneous Systems ◽  
Video Data ◽  
System Level ◽  
Video Information ◽  
Systems On Chip ◽  
The Face ◽  
Parallel Pipelined ◽  
On Chip

A turn from homogeneous to heterogeneous architectures permits to achieve the advantages of the efficiency, size, weight and power consumption, which is especially important for the built-in solutions. However, the development of the parallel software for heterogeneous computer systems is rather complex task due to the requirements of high efficiency, easy programming and the process of scaling. In the paper the efficiency of parallel-pipelined processing of video information in multiprocessor heterogeneous systems on a chip (SoC) such as DSP, GPU, ISP, VDP, VPU and others, has been investigated. A typical scheme of parallel-pipelined processing of video data using various accelerators has been presented. The scheme of the parallel-pipelined video data on heterogeneous SoC 1892VM248 has been developed. The methods of efficient parallel-pipelined processing of video data in heterogeneous computers (SoC), consisting of the operating system level, programming technologies level and the application level, have been proposed. A comparative analysis of the most common programming technologies, such as OpenCL, OpenMP, MPI, OpenAMP, has been performed. The analysis has shown that depend-ing on the device finite purpose two programming paradigms should be applied: based on OpenCL technology (for built-in system) and MPI technology (for inter-cell and inter processor interaction). The results obtained of the parallel-pipelined processing within the framework of the face recognition have confirmed the effectiveness of the chosen solutions.

Effective Video Shot Boundary Detection and Keyframe Selection using Soft Computing Techniques

2018 ◽  
Vol 8 (2) ◽  
pp. 27-48 ◽  
Author(s):  
Rashmi B S ◽  
Nagendraswamy H S
Keyword(s):  
Fuzzy Sets ◽  
Video Analysis ◽  
Boundary Detection ◽  
Extraction Methods ◽  
Video Data ◽  
Shot Boundary Detection ◽  
Keyframe Extraction ◽  
Soft Computing Techniques ◽  
Video Shot ◽  
Shot Boundary

The amount of video data generated and made publicly available has been tremendously increased in today's digital era. Analyzing these huge video repositories require effective and efficient content-based video analysis systems. Shot boundary detection and Keyframe extraction are the two major tasks in video analysis. In this direction, a method for detecting abrupt shot boundaries and extracting representative keyframe from each video shot is proposed. These objectives are achieved by incorporating the concepts of fuzzy sets and intuitionistic fuzzy sets. Shot boundaries are detected using coefficient of correlation on fuzzified frames. Further, probabilistic entropy measures are computed to extract the keyframe within fuzzified frames of a shot. The keyframe representative of a shot is the frame with highest entropy value. To show the efficacy of the proposed methods two benchmark datasets are used (TRECVID and Open Video Project). The proposed methods outperform when compared with some of state-of-the-art shot boundary detection and keyframe extraction methods.

Sign in / Sign up

Export Citation Format

Share Document