[HTML][HTML] Demystifying roles of exercise in immune response regulation against acute respiratory infections: A narrative review

D Agustiningsih, T Wibawa - Sports Medicine and Health Science, 2024 - Elsevier
The benefits of physical activity and exercise, especially those classified as moderate-to-
vigorous activity (MVPA), have been well-established in preventing non-communicable …

Automatic classification error detection and correction for robust human activity recognition

R Mojarad, F Attal, A Chibani… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
One of the main objectives of Ambient Assisted Living (AAL) systems is to proactively
provide intelligent services to improve the quality of people's lives in terms of autonomy …

Wearable IMU-based gym exercise recognition using data fusion methods

J Tian, P Zhou, F Sun, T Wang, H Zhang - The Fifth International …, 2021 - dl.acm.org
Gym exercise has become a focus of attention nowadays because of its health benefits.
Automatic gym exercise recognition is an emerging research field which aimed at guiding …

Signal Processing for athletic cardiovascular monitoring with wearable sensors: Fully automatic detection of training phases from heart rate data

S Romagnoli, A Sbrollini, A Scalese… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Heart rate (HR) recording is a non-invasive, cheap and time-efficient tool for continuous
cardiovascular monitoring through wearable technologies in sport applications directly on …

Improved skeleton-based activity recognition using convolutional block attention module

J Qin, S Zhang, Y Wang, F Yang, X Zhong… - Computers and Electrical …, 2024 - Elsevier
Inferring human activities from the skeletons extracted from activity photos or videos is a
fundamental yet important issue in the research community of computer vision. Current …

[PDF][PDF] Survey on human activity recognition using smartphone

AK Aboo, LM Ibrahim - Raf J Comput Sci Math, 2021 - iasj.net
ABSTRACT The field of Human Activity Recognition (HAR) is an active research field in
which methods are being developed to understand human behavior by interpreting features …

[PDF][PDF] Validation of a motion-recognition algorithm using a smartwatch

D Huber - 2017 - researchgate.net
Methods To test the exercise recognition and repetition counting accuracy, a workout
consisting of nine sets with five randomly ordered resistance training exercises and …

[PDF][PDF] Comparison between different 1RM prediction tests in submaximal load for the usage of a future smartwatch app

R Erni - 2019 - folia.unifr.ch
Methods A subject group consisting of recreationally trained athletes (N= 30) performed 4
sets of up to 10 repetitions with an increasing submaximal load (60–80% of predicted 1RM) …

[引用][C] Application of smart gadgets empowered by ML technique for smart analysis of everyday life events

M Yousaf - International Journal of Computational and Innovative …, 2023

[引用][C] Context-aware Human Activity Recognition

R Mojarad, F Attal, A Chibani, Y Amirat - 2020 International Conference …, 2020 - hal.science
Context-aware Human Activity Recognition - Archive ouverte HAL Accéder directement au
contenu Documentation FR Français (FR) Anglais (EN) Se connecter HAL science ouverte …