AIMC Topic: Exercise
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The intention-behaviour gap in physical activity: a systematic review and meta-analysis of the action control framework.
British journal of sports medicine
Jul 17, 2023
OBJECTIVE: Intention is the proximal antecedent of physical activity in many popular psychological models. Despite the utility of these models, the discrepancy between intention and actual behaviour, known as the intention-behaviour gap, is a central...
Identification and Classification of Human Body Exercises on Smart Textile Bands by Combining Decision Tree and Convolutional Neural Networks.
Sensors (Basel, Switzerland)
Jul 7, 2023
In recent years, human activity recognition (HAR) has gained significant interest from researchers in the sports and fitness industries. In this study, the authors have proposed a cascaded method including two classifying stages to classify fitness e...
Let's Chat (GPT) about the new age of fitness: are we ready for artificial intelligence?
The Journal of sports medicine and physical fitness
Jun 14, 2023
CNN-LSTM Model for Recognizing Video-Recorded Actions Performed in a Traditional Chinese Exercise.
IEEE journal of translational engineering in health and medicine
Jun 2, 2023
Identifying human actions from video data is an important problem in the fields of intelligent rehabilitation assessment. Motion feature extraction and pattern recognition are the two key procedures to achieve such goals. Traditional action recogniti...
Barriers and facilitators to physical activity and further digital exercise intervention among inactive British adolescents in secondary schools: a qualitative study with physical education teachers.
Frontiers in public health
Jun 2, 2023
BACKGROUND: Previous studies indicated that physical education programs in schools were unsuccessful to ameliorate physical activity (PA) behaviors among adolescents. This study investigated PE teachers' perceptions of barriers and facilitators to PA...
Determination of optimum intensity and duration of exercise based on the immune system response using a machine-learning model.
Scientific reports
May 22, 2023
One of the important concerns in the field of exercise immunology is determining the appropriate intensity and duration of exercise to prevent suppression of the immune system. Adopting a reliable approach to predict the number of white blood cells (...
Prediction of oxygen uptake kinetics during heavy-intensity cycling exercise by machine learning analysis.
Journal of applied physiology (Bethesda, Md. : 1985)
May 18, 2023
Nonintrusive estimation of oxygen uptake (V̇o) is possible with wearable sensor technology and artificial intelligence. V̇o kinetics have been accurately predicted during moderate exercise using easy-to-obtain sensor inputs. However, V̇o prediction a...
Exploring the Potential of Chat GPT in Personalized Obesity Treatment.
Annals of biomedical engineering
May 5, 2023
Obesity has become a serious global health problem. For some patients who cannot be treated with traditional methods, artificial intelligence technologies are a new source of hope. Chat GPT is a language model that has become popular in recent times ...
Exercise with a wearable hip-assist robot improved physical function and walking efficiency in older adults.
Scientific reports
May 4, 2023
Wearable assistive robotics has emerged as a promising technology to supplement or replace motor functions and to retrain people recovering from an injury or living with reduced mobility. We developed delayed output feedback control for a wearable hi...
Machine Learning Analysis of Physical Activity Data to Classify Postural Dysfunction.
The Laryngoscope
Apr 21, 2023
BACKGROUND: Machine learning (ML) analysis of biometric data in non-controlled environments is underexplored.
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