Robust human locomotion and localization activity recognition over multisensory
Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
A survey on wearable human activity recognition: innovative pipeline development for enhanced research and practice
Recent trends in Wearable Human Activity Recognition (WHAR) have led to an
unprecedented 42.9% increase in scholarly articles in 2022, underscoring the urgency for a …
unprecedented 42.9% increase in scholarly articles in 2022, underscoring the urgency for a …
Effective feature engineering technique for heart disease prediction with machine learning
Heart failure is a chronic disease affecting millions worldwide. An efficient machine learning-
based technique is needed to predict heart failure health status early and take necessary …
based technique is needed to predict heart failure health status early and take necessary …
A novel approach for polycystic ovary syndrome prediction using machine learning in bioinformatics
Polycystic ovary syndrome (PCOS) is a critical disorder in women during their reproduction
phase. The PCOS disorder is commonly caused by excess male hormone and androgen …
phase. The PCOS disorder is commonly caused by excess male hormone and androgen …
Biosensor-driven IoT wearables for accurate body motion tracking and localization
The domain of human locomotion identification through smartphone sensors is witnessing
rapid expansion within the realm of research. This domain boasts significant potential across …
rapid expansion within the realm of research. This domain boasts significant potential across …
[PDF][PDF] Exploiting Human Pose and Scene Information for Interaction Detection
M Waheed, S Aaaa, M Shorfuzzaman, A Alsufyani… - CMC, 2023 - cdn.techscience.cn
Identifying human actions and interactions finds its use in many areas, such as security,
surveillance, assisted living, patient monitoring, rehabilitation, sports, and e-learning. This …
surveillance, assisted living, patient monitoring, rehabilitation, sports, and e-learning. This …
A wearable inertial sensor approach for locomotion and localization recognition on physical activity
Advancements in sensing technology have expanded the capabilities of both wearable
devices and smartphones, which are now commonly equipped with inertial sensors such as …
devices and smartphones, which are now commonly equipped with inertial sensors such as …
Transition-aware human activity recognition using an ensemble deep learning framework
Understanding human activities in daily life is of utmost importance, especially in the context
of personalized and adaptive ubiquitous learning. Although existing HAR systems perform …
of personalized and adaptive ubiquitous learning. Although existing HAR systems perform …
Fundamental recognition of ADL assessments using machine learning engineering
This paper describes an RGBD (Red Green Blue Depth) image daily life activity
identification system that can monitor and detect human activities without the need of optical …
identification system that can monitor and detect human activities without the need of optical …
A novel hybrid deep learning approach with GWO–WOA optimization technique for human activity recognition
D Thakur, S Dangi, P Lalwani - Biomedical Signal Processing and Control, 2025 - Elsevier
Abstract The effectiveness of Human Activity Recognition (HAR) models can be largely
attributed to the components derived from domain expertise. The classification system swiftly …
attributed to the components derived from domain expertise. The classification system swiftly …