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Human-machine interaction sensing technology based on hand gesture recognition: A review
L Guo, Z Lu, L Yao - IEEE Transactions on Human-Machine …, 2021 - ieeexplore.ieee.org
Human machine interaction (HMI) is an interactive way of information exchange between
human and machine. By collecting the information that can be conveyed by the person to …
human and machine. By collecting the information that can be conveyed by the person to …
Applied AI in instrumentation and measurement: The deep learning revolution
M Khanafer, S Shirmohammadi - IEEE Instrumentation & …, 2020 - ieeexplore.ieee.org
In the last few years, hardly a day goes by that we do not hear about the latest
advancements and improvements that Artificial Intelligence (AI) has brought to a wide …
advancements and improvements that Artificial Intelligence (AI) has brought to a wide …
Gesture recognition based on multilevel multimodal feature fusion
J Tian, W Cheng, Y Sun, G Li, D Jiang… - Journal of Intelligent …, 2020 - content.iospress.com
With the development of human-computer interaction, gesture recognition has gradually
become one of the research hotspots. The cost reduction and the richer information of RGB …
become one of the research hotspots. The cost reduction and the richer information of RGB …
Hand gesture recognition using densely connected deep residual network and channel attention module for mobile robot control
Navigating a mobile robot in an indoor or outdoor environment is an interesting research
area for human–robot collaboration (HRC). In such a scenario, hand gesture offers some …
area for human–robot collaboration (HRC). In such a scenario, hand gesture offers some …
Ultra-efficient edge cardiac disease detection towards real-time precision health
Nowadays, intensive interests are targeting the deep learning on edge precision health
towards instantaneous disease measurements. However, edge inference usually has …
towards instantaneous disease measurements. However, edge inference usually has …
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 …
Efficient inception V2 based deep convolutional neural network for real‐time hand action recognition
The most effective and accurate deep convolutional neural network (faster region‐based
convolutional neural network (Faster R‐CNN) Inception V2 model, single shot detector …
convolutional neural network (Faster R‐CNN) Inception V2 model, single shot detector …
MEGURU: a gesture-based robot program builder for Meta-Collaborative workstations
This paper presents the Meta-Collaborative Workstation concept and a gesture-based robot
program builder software named MEGURU. The software is ROS-based, and it is publicly …
program builder software named MEGURU. The software is ROS-based, and it is publicly …
Uncertainty-assisted image-processing for human-robot close collaboration
The safety of human workers has been the main concern in human-robot close
collaboration. Along with rapidly developed artificial intelligence techniques, deep learning …
collaboration. Along with rapidly developed artificial intelligence techniques, deep learning …