COVID-19 pandemic: the effects of quarantine on cardiovascular risk
COVID-19 is causing a global pandemic with a high number of deaths and infected people.
To contain the diffusion of COVID-19 virus, Governments have enforced restrictions on …
To contain the diffusion of COVID-19 virus, Governments have enforced restrictions on …
Quarantine during COVID-19 outbreak: Changes in diet and physical activity increase the risk of cardiovascular disease
Abstract Aims CoV-19/SARS-CoV-2 is a highly pathogenic virus that is causing a global
pandemic with a high number of deaths and infected people. To contain the diffusion of …
pandemic with a high number of deaths and infected people. To contain the diffusion of …
Deep learning-based human body pose estimation in providing feedback for physical movement: A review
Pose estimation has various applications in analyzing human body movement and behavior,
including providing feedback to users about their movements so they can adjust and …
including providing feedback to users about their movements so they can adjust and …
The state-of-the-art sensing techniques in human activity recognition: A survey
Human activity recognition (HAR) has become an intensive research topic in the past
decade because of the pervasive user scenarios and the overwhelming development of …
decade because of the pervasive user scenarios and the overwhelming development of …
[HTML][HTML] Enhancing fitness action recognition with ResNet-TransFit: Integrating IoT and deep learning techniques for real-time monitoring
J Li, R Gong, G Wang - Alexandria Engineering Journal, 2024 - Elsevier
With the growing popularity of fitness, the demand for real-time action recognition and
feedback is increasing. Current research faces challenges in handling complex actions, real …
feedback is increasing. Current research faces challenges in handling complex actions, real …
AI trainer: Autoencoder based approach for squat analysis and correction
Artificial intelligence and computer vision have widespread applications in workout analysis.
It has been extensively used in sports and the athlete industry to identify errors and improve …
It has been extensively used in sports and the athlete industry to identify errors and improve …
Advances for indoor fitness tracking, coaching, and motivation: A review of existing technological advances
T Wang, Y Gan, SD Arena… - IEEE Systems, Man …, 2021 - ieeexplore.ieee.org
There is growing consumer demand for digital technologies that help users track, motivate,
and receive coaching for both aerobic and anaerobic activities. In this article, we provide a …
and receive coaching for both aerobic and anaerobic activities. In this article, we provide a …
Deep learning enabled exercise monitoring system for sustainable online education of future teacher-trainers
N Omarov, B Omarov, Q Mamutov, Z Kissebayev… - Frontiers in …, 2024 - frontiersin.org
Introduction In recent years, the importance of effective training methods for future physical
education teacher-trainers has grown significantly, particularly in the context of online …
education teacher-trainers has grown significantly, particularly in the context of online …
Augmenting Vision-Based Human Pose Estimation with Rotation Matrix
Fitness applications are commonly used to monitor activities within the gym, but they often
fail to automatically track indoor activities inside the gym. This study proposes a model that …
fail to automatically track indoor activities inside the gym. This study proposes a model that …
Fitness Freaks: A System for Detecting Definite Body Posture Using OpenPose Estimation
H Pardeshi, A Ghaiwat, A Thongire, K Gawande… - Futuristic Trends in …, 2022 - Springer
Nowadays, because of busy schedules, people have no time to go to the gym, and even if
they manage to find a gym nearby having a gym trainer besides all the time to correct …
they manage to find a gym nearby having a gym trainer besides all the time to correct …