Emotion-aware and intelligent internet of medical things toward emotion recognition during COVID-19 pandemic
T Zhang, M Liu, T Yuan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The Internet of Medical Things (IoMT) is a brand new technology of combining medical
devices and other wireless devices to access to the healthcare management systems. This …
devices and other wireless devices to access to the healthcare management systems. This …
Fault prediction recommender model for IoT enabled sensors based workplace
Industry 5.0 benefits from advancements being made in the field of machine learning and
the Internet of Things. Different sensors have been installed in a variety of IoT devices …
the Internet of Things. Different sensors have been installed in a variety of IoT devices …
Enhancing COVID-19 tracking apps with human activity recognition using a deep convolutional neural network and HAR-images
G D'Angelo, F Palmieri - Neural Computing and Applications, 2023 - Springer
With the emergence of COVID-19, mobile health applications have increasingly become
crucial in contact tracing, information dissemination, and pandemic control in general. Apps …
crucial in contact tracing, information dissemination, and pandemic control in general. Apps …
Analyzing body changes of high-level dance movements through biological image visualization technology by convolutional neural network
R Zhang - The Journal of Supercomputing, 2022 - Springer
A research is designed to comprehensively study the dynamic trends and characteristics of
dance movements recognition approaches, providing a valuable reference for the scientific …
dance movements recognition approaches, providing a valuable reference for the scientific …
Sign Language Recognition With Self-Learning Fusion Model
Sign language recognition (SLR) is the task of recognizing human actions that represent the
language, which is not only helpful for deaf–mute people but also a means for human …
language, which is not only helpful for deaf–mute people but also a means for human …
User stress in artificial intelligence: modeling in case of system failure
The uninterrupted operation of systems with artificial intelligence (AI) ensures high
productivity and accuracy of the tasks performed. The physiological state of AI operators …
productivity and accuracy of the tasks performed. The physiological state of AI operators …
Method design of interactive digital devices to support the workspace comfort.
AS Ismiranti, A Arumsari… - … Journal of Visual & …, 2023 - search.ebscohost.com
There are many alterations and adaptations of the workspaces after the Covid-19 pandemic.
Nowadays, workspaces are required to have flexibility in facilitating physical and virtual …
Nowadays, workspaces are required to have flexibility in facilitating physical and virtual …
A Hybrid Deep Neural Network with Attention Mechanism for Human Activity Recognition Based on Smartphone Sensors
S Mekruksavanich, D Tancharoen… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) is an area of study that seeks to automatically and
precisely detect an individual's behavior by analyzing bio-signal data. Bio-signal data can …
precisely detect an individual's behavior by analyzing bio-signal data. Bio-signal data can …
Fall detection and activity recognition system for usage in smart work-wear
Human activity measurement and classification has been hot research topic for several
years. Most of the solutions are based on the mobile phones, however there are also some …
years. Most of the solutions are based on the mobile phones, however there are also some …
[PDF][PDF] Fault Prediction Recommender Model for IoT Enabled Sensors Based Workplace. Sustainability 2023, 15, 1060
Industry 5.0 benefits from advancements being made in the field of machine learning and
the Internet of Things. Different sensors have been installed in a variety of IoT devices …
the Internet of Things. Different sensors have been installed in a variety of IoT devices …