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Exercise & Fitness

Latest AI and machine learning research in exercise & fitness for healthcare professionals.

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Artificial intelligence and body composition.

AIMS: Although obesity is associated with chronic disease, a large section of the population with hi...

Image-based estimation of the left ventricular cavity volume using deep learning and Gaussian process with cardio-mechanical applications.

In this investigation, an image-based method has been developed to estimate the volume of the left v...

Research on Evaluation of University Emergency Management Ability Based on BP Neural Network.

University emergency management ability is an important part of university safety management. To eva...

SwimmerNET: Underwater 2D Swimmer Pose Estimation Exploiting Fully Convolutional Neural Networks.

Professional swimming coaches make use of videos to evaluate their athletes' performances. Specifica...

Robotic Single-Site Hysterectomy in Gynecologic Benign Pathology: A Systematic Review of the Literature.

Total hysterectomy is one of the most common gynecologic surgical procedures and it is mainly perfo...

Surrogate Modelling for Oxygen Uptake Prediction Using LSTM Neural Network.

Oxygen uptake (V˙O2) is an important metric in any exercise test including walking and running. It c...

Acceptance of a Mobile Telepresence Robot, before Use, to Remotely Supervise Older Adults' Adapted Physical Activity.

Many older adults remain sedentary because they do not have access to specialized facilities or adap...

A practical guide to deep-learning light-field microscopy for 3D imaging of biological dynamics.

Here, we present a step-by-step protocol for the implementation of deep-learning-enhanced light-fiel...

Hybridizing five neural-metaheuristic paradigms to predict the pillar stress in bord and pillar method.

Pillar stability is an important condition for safe work in room-and-pillar mines. The instability o...

Major evolutionary transitions in individuality between humans and AI.

That humans might undergo future evolutionary transitions in individuality (ETIs) seems fanciful. Ho...

Age-specific risk factors for the prediction of obesity using a machine learning approach.

Machine Learning is a powerful tool to discover hidden information and relationships in various data...

Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.

Obesity and overweight has increased in the last year and has become a pandemic disease, the result ...

Leg Muscle Activity and Joint Motion during Balance Exercise Using a Newly Developed Weight-Shifting-Based Robot Control System.

A novel and fun exercise robot (LOCOBOT) was developed to improve balance ability. This system can c...

Using machine learning to predict the effects and consequences of mutations in proteins.

Machine and deep learning approaches can leverage the increasingly available massive datasets of pro...

Smartphones dependency risk analysis using machine-learning predictive models.

Recent technological advances have changed how people interact, run businesses, learn, and use their...

Behaviour recommendations with a deep learning model and genetic algorithm for health debt characterisation.

Human behaviour is a dense longitudinal multi-featured measure that directly impacts the health of i...

Profiling Physical Fitness of Physical Education Majors Using Unsupervised Machine Learning.

The academic curriculum has shown to promote sedentary behavior in college students. This study aime...

Automatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures.

(1) Background: The success of physiotherapy depends on the regular and correct unsupervised perform...

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