Accurate Recognition and Simulation of 3D Visual Image of Aerobics Movement

Wang, Fan; Min, Hyun Joo

doi:10.1155/2020/8889008

Cited by 8 publications

(6 citation statements)

References 20 publications

(21 reference statements)

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“…erefore, to stimulate the degree of participation of students in learning is the main task. erefore, it is very important to accurately identify and evaluate aerobics movements [19][20][21][22][23] to assist teaching so that students can learn movement routines faster, stimulate their learning potential, and promote improved aerobics courses' quality.…”

Section: E Current Situation Of Aerobics Teachingmentioning

confidence: 99%

IoT-Based Wearable Sensors and Bidirectional LSTM Network for Action Recognition of Aerobics Athletes

Wang

et al. 2021

Journal of Healthcare Engineering

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Aerobics is the fusion of gymnastics, dance, and music; it is a body of a sports project, along with the development of the society. The growing demand for aerobics inevitably increases the demand for aerobics coach and teacher and has opened elective aerobics class which is an effective way of cultivating professional talents relevant to aerobics. Aerobics has extended fixed teaching mode and cannot conform to the development of the times. The motion prediction of aerobics athletes is a new set of teaching aid. In this paper, a motion prediction model of aerobics athletes is built based on the wearable inertial sensor of the Internet of Things and the bidirectional long short term memory (BiLSTM) network. Firstly, a wireless sensor network based on ZigBee was designed and implemented to collect the posture data of aerobics athletes. The inertial sensors were used for data collection and transmission of the data to the cloud platform through Ethernet. Then, the movement of aerobics athletes is recognized and predicted by the BiLSTM network. Based on the BiLSTM network and the attention mechanism, this paper proposes to solve the problem of low classification accuracy caused by the traditional method of directly summing and averaging the updated output vectors corresponding to each moment of the BiLSTM layer. The simulation experiment is also carried out in this paper. The experimental results show that the proposed model can recognize aerobics effectively.

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Section: E Current Situation Of Aerobics Teachingmentioning

confidence: 99%

IoT-Based Wearable Sensors and Bidirectional LSTM Network for Action Recognition of Aerobics Athletes

Wang

et al. 2021

Journal of Healthcare Engineering

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“…The national policy has repeatedly stressed the need to strengthen the construction of national cultural soft power. The university campus is the base for breeding culture, and the campus teachers and students are the promoters and contributors of national cultural construction [ 3 ]. Therefore, the construction of campus culture in universities is also an important part of improving the soft power of national culture [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Progress and Emotion Expression of Campus Cultural Innovation Goods Based on Data Mining under Culture Shock Environment

Zhang

2022

Journal of Environmental and Public Health

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With the rapid progress of economy and globalization, the characteristic culture of universities is inevitably eroded by the strong mainstream culture from outside. The best way to maintain culture is to turn it into goods. Productization can make culture vivid and vivid and circulate in use. Universities are the carrier of education and the progress of excellent culture. Campus culture refers to all tangible and intangible objective existence created artificially and formed for a long time in a specific school environment, which can deeply reflect the characteristics of the school. This article proposes an optimized design scheme for the progress and emotional expression research of campus cultural innovative goods in universities. It constructs the graphics recognition of campus cultural goods through the data mining system and then focuses on the problem of graphics recognition based on DL (deep learning). An enhanced DL model and arithmetic are proposed to enhance the accuracy and efficiency of graphics recognition. Finally, the simulation test and analysis are carried out. The simulation results show that the proposed arithmetic has certain accuracy, which is 10.23% higher than the traditional DL arithmetic. Campus culture can also play a powerful role in emotional edification and personality shaping for teachers, students, and campus workers. Excellent cultural and innovative goods can inherit the history, culture, and spirit of universities and can directly reflect the cultural heritage, characteristics, and graphics of universities. In addition to promoting the precipitation and inheritance of the long history and culture of universities and the spirit of the times, they can also strengthen the cultural exchange and spiritual communication among college level, alumni, teachers, and students, and people from all walks of life in universities, so as to actively promote the cultural and spiritual construction of universities.

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“…15 The first improvement in these three aspects indicates that elastic band training may first improve the physical health of aerobics athletes, and then improve their mental health, and ultimately improve the overall quality of life. 16 Figure 4 shows the change curve of the growth rate of hip, knee, and ankle extensor and flexor muscles.…”

Section: Results and Analysismentioning

confidence: 99%

Consequences of Elastic Band Training on Muscle Strength in Aerobic Athletes

Tian

Zhu

Xu³

2023

Rev Bras Med Esporte

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Introduction: The elastic band training method has been widely used in strength training and collective rehabilitation of international athletes as a new method of strength training. Objective: Compare the research on the effect of resistance strength training for aerobics athletes, practicing the latest theories and techniques of this strength training. Methods: Evaluation tests, experimental tests, and mathematical statistics were conducted to complete the study and research. Results: Elastic band training can potentially improve the blood circulation of specialized aerobic athletes, increasing muscle strength and improving the activities of daily living of its practitioners. Conclusion: Elastic band training can improve the strength quality of aerobics athletes, increasing the diversity of training methods in its practitioners. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.

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Accurate Recognition and Simulation of 3D Visual Image of Aerobics Movement

Cited by 8 publications

References 20 publications

IoT-Based Wearable Sensors and Bidirectional LSTM Network for Action Recognition of Aerobics Athletes

IoT-Based Wearable Sensors and Bidirectional LSTM Network for Action Recognition of Aerobics Athletes

[Retracted] Progress and Emotion Expression of Campus Cultural Innovation Goods Based on Data Mining under Culture Shock Environment

Consequences of Elastic Band Training on Muscle Strength in Aerobic Athletes

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