A comprehensive survey on multimodal medical signals fusion for smart healthcare systems
Smart healthcare is a framework that utilizes technologies such as wearable devices, the
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …
A comprehensive survey of the Internet of Things (IoT) and AI-based smart healthcare
F Alshehri, G Muhammad - IEEE access, 2020 - ieeexplore.ieee.org
Smart health care is an important aspect of connected living. Health care is one of the basic
pillars of human need, and smart health care is projected to produce several billion dollars …
pillars of human need, and smart health care is projected to produce several billion dollars …
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …
the computer vision. It has critical application in wide variety of tasks including gaming …
Enhanced skeleton visualization for view invariant human action recognition
Human action recognition based on skeletons has wide applications in human–computer
interaction and intelligent surveillance. However, view variations and noisy data bring …
interaction and intelligent surveillance. However, view variations and noisy data bring …
Bi-LSTM network for multimodal continuous human activity recognition and fall detection
This paper presents a framework based on multilayer bi-LSTM network (bidirectional Long
Short-Term Memory) for multimodal sensor fusion to sense and classify daily activities' …
Short-Term Memory) for multimodal sensor fusion to sense and classify daily activities' …
A survey of depth and inertial sensor fusion for human action recognition
A number of review or survey articles have previously appeared on human action
recognition where either vision sensors or inertial sensors are used individually …
recognition where either vision sensors or inertial sensors are used individually …
Automate appliances via gestures recognition for elderly living assistance
M Muneeb, H Rustam, A Jalal - 2023 4th International …, 2023 - ieeexplore.ieee.org
Smart homes have grown in popularity not only as a luxury but also because of the
numerous benefits they provide. In this research, a home automation system is developed …
numerous benefits they provide. In this research, a home automation system is developed …
Semantics-aware adaptive knowledge distillation for sensor-to-vision action recognition
Existing vision-based action recognition is susceptible to occlusion and appearance
variations, while wearable sensors can alleviate these challenges by capturing human …
variations, while wearable sensors can alleviate these challenges by capturing human …
Robust human activity recognition using multimodal feature-level fusion
Automated recognition of human activities or actions has great significance as it
incorporates wide-ranging applications, including surveillance, robotics, and personal …
incorporates wide-ranging applications, including surveillance, robotics, and personal …
Person reidentification via ranking aggregation of similarity pulling and dissimilarity pushing
Person reidentification is a key technique to match different persons observed in
nonoverlap** camera views. Many researchers treat it as a special object-retrieval …
nonoverlap** camera views. Many researchers treat it as a special object-retrieval …