A review of hand gesture recognition systems based on noninvasive wearable sensors
R Tchantchane, H Zhou, S Zhang… - Advanced Intelligent …, 2023 - Wiley Online Library
Hand gesture, one of the essential ways for a human to convey information and express
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …
A deep learning based model for the detection of pneumonia from chest X-ray images using VGG-16 and neural networks
Pneumonia is a viral infection which affects a significant proportion of individuals, especially
in developing and penurious countries where contamination, overcrowded, and unsanitary …
in developing and penurious countries where contamination, overcrowded, and unsanitary …
[HTML][HTML] A comparative study of advanced technologies and methods in hand gesture analysis and recognition systems
MM Rahman, A Uzzaman, F Khatun… - Expert Systems with …, 2024 - Elsevier
Hand gesture recognition is progressively becoming a mature technology as a result of
significant investment in human-machine interaction. The requirements of human-machine …
significant investment in human-machine interaction. The requirements of human-machine …
Data analysis of physical recovery and injury prevention in sports teaching based on wearable devices
J Cui, H Du, X Wu - Preventive medicine, 2023 - Elsevier
Athletes can also cause damage to some parts of their body during training, so specialized
preparation activities should be carried out before athlete training to reduce the damage …
preparation activities should be carried out before athlete training to reduce the damage …
A sign language recognition system applied to deaf-mute medical consultation
K Xia, W Lu, H Fan, Q Zhao - Sensors, 2022 - mdpi.com
It is an objective reality that deaf-mute people have difficulty seeking medical treatment. Due
to the lack of sign language interpreters, most hospitals in China currently do not have the …
to the lack of sign language interpreters, most hospitals in China currently do not have the …
In-situ enhanced anchor-free deep CNN framework for a high-speed human-machine interaction
Abstract Human-Robot Interaction (HRI) constitutes a demanding research field that
integrates artificial intelligence, informatics, robotics, engineering, and human-machine …
integrates artificial intelligence, informatics, robotics, engineering, and human-machine …
A study on machine learning-enhanced roadside unit-based detection of abnormal driving in autonomous vehicles
Ensuring the safety of autonomous vehicles is becoming increasingly important with
ongoing technological advancements. In this paper, we suggest a machine learning-based …
ongoing technological advancements. In this paper, we suggest a machine learning-based …
Study on HGR by Using Machine Learning
The medical field and other research areas fields heavily rely on artificial intelligence (AI)
and machine learning (ML). Hand gesture recognition (HGR), which is a straightforward …
and machine learning (ML). Hand gesture recognition (HGR), which is a straightforward …
Enhancing the Paddy Disease Classification by Using Cross‐Validation Strategy for Artificial Neural Network over Baseline Classifiers
Pathogens, including viruses, bacteria, and fungus, are the biotic agents that cause illnesses
in crops and are the major cause of yield losses of up to 16 percent in certain parts of the …
in crops and are the major cause of yield losses of up to 16 percent in certain parts of the …
A comparative study of predicting the availability of power line communication nodes using machine learning
Abstract Power Line Communication technology uses power cables to transmit data.
Knowing whether a node is working in advance without testing saves time and resources …
Knowing whether a node is working in advance without testing saves time and resources …