Exercise & Fitness

Design of the Physical Fitness Evaluation Information Management System of Sports Athletes Based on Artificial Intelligence.

With the rapid development of science and technology in recent years, more and more researchers began to explore the basic disciplines of sports, namely, biomechanics and physiology, and further update and improve the traditional sports training theory. However, the developed countries, i.e., Europe and the United States, have dedicatedly worked on the effective role of physical training particula...

Management and Analysis of Sports Health Level of the Elderly Based on Deep Learning.

With the accelerating rate of population aging in China, the health of the elderly has received more and more attention and has become one of the most important issues in the elderly care industry. Because of insufficient research on the personal health of the elderly, the value of medical examination data cannot be fully exploited, many physical indicators have a certain impact on overall health ...

Intelligent Analysis of Exercise Health Big Data Based on Deep Convolutional Neural Network.

In this paper, the algorithm of the deep convolutional neural network is used to conduct in-depth research and analysis of sports health big data, and...

Research on Image Recognition of Gymnastics Sports Injuries Based on Deep Learning.

Gymnastics is an increasingly popular sport and an important event in the Olympic Games. However, the number of unavoidable injuries in sports is also...

Pathological-Gait Recognition Using Spatiotemporal Graph Convolutional Networks and Attention Model.

Walking is an exercise that uses muscles and joints of the human body and is essential for understanding body condition. Analyzing body movements thro...

Evaluation of the Design of "Shape" and "Meaning" of Book Binding from the Perspective of Deep Learning.

Book binding is the procedure of manually accumulating a book in codex format from a well-ordered pile of paper sheets, which are folded together into...

Influence of Different Passing Methods of Physical Fitness in Football Using Deep Learning.

Deep learning is a new direction in the field of machine learning, which learns the inherent laws and levels of data sample representation. The inform...

A Machine Learning Model for Predicting Sit-to-Stand Trajectories of People with and without Stroke: Towards Adaptive Robotic Assistance.

Sit-to-stand and stand-to-sit transfers are fundamental daily motions that enable all other types of ambulation and gait. However, the ability to perf...

A Novel Deep Framework for English Communication Based on Educational Psychology Perspective.

The impact of verbal reading practices on learning is examined from the perspective of educational psychology, using the motivation theory and the sch...

Microarchitectural Changes of Cardiovascular Calcification in Response to In Vivo Interventions Using Deep-Learning Segmentation and Computed Tomography Radiomics.

BACKGROUND: Coronary calcification associates closely with cardiovascular risk, but its progress is accelerated in response to some interventions wide...

Analysis of the Relationship between Transformational Leadership and Educational Management in Higher Education Based on Deep Learning.

Leadership behavior has been emphasized as one of the most important influencing factors in the innovation process. Leaders can encourage subordinates...

Monitoring and Analysis of Youth Sports Physique by Intelligent Medical Robot Based on Cognitive Computing.

As a key part of promoting the physical health of the people and promoting social progress, sports has ushered in comprehensive vitality. More and mor...

Environmental Affection-Driven English Tense Analysis: A Healthcare Exercise-Based Corpus Case Study over Public English Environment.

Most international academic papers are written in English, and the use of tenses in English academic papers often follows some conventional rules. Aut...

Improved Prediction of Body Mass Index in Real-World Administrative Healthcare Claims Databases.

INTRODUCTION: To continue closing the gap between the predictive modeling and its real-world application, we report a new data-to-prediction pipeline ...

Liver Damage Is Related to the Degree of Being Underweight in Anorexia Nervosa and Improves Rapidly with Weight Gain.

Background: The present study investigates the relationship between hypertransaminasemia and malnutrition on the basis of a very large number of patie...

Analysis of Human Exercise Health Monitoring Data of Smart Bracelet Based on Machine Learning.

The smart bracelet has become a hot-selling commodity, according to a daily consumption survey. Based on people's interest and concern for their healt...

Deep Learning Prediction of Survival in Patients with Chronic Obstructive Pulmonary Disease Using Chest Radiographs.

Background Preexisting indexes for predicting the prognosis of chronic obstructive pulmonary disease (COPD) do not use radiologic information and are ...

PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data.

While the advanced diagnostic tools and healthcare management protocols have been struggling to contain the COVID-19 pandemic, the spread of the conta...

Ensem-HAR: An Ensemble Deep Learning Model for Smartphone Sensor-Based Human Activity Recognition for Measurement of Elderly Health Monitoring.

Biomedical images contain a huge number of sensor measurements that can provide disease characteristics. Computer-assisted analysis of such parameters...

Neural networks enable efficient and accurate simulation-based inference of evolutionary parameters from adaptation dynamics.

The rate of adaptive evolution depends on the rate at which beneficial mutations are introduced into a population and the fitness effects of those mut...