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 …

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 …

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 …

Hand gesture recognition using densely connected deep residual network and channel attention module for mobile robot control

JP Sahoo, SP Sahoo, S Ari… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Ultra-efficient edge cardiac disease detection towards real-time precision health

J Wong, J Nerbonne, Q Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
Nowadays, intensive interests are targeting the deep learning on edge precision health
towards instantaneous disease measurements. However, edge inference usually has …

In-situ enhanced anchor-free deep CNN framework for a high-speed human-machine interaction

SR Bose, VS Kumar, C Sreekar - Engineering Applications of Artificial …, 2023 - Elsevier
Abstract Human-Robot Interaction (HRI) constitutes a demanding research field that
integrates artificial intelligence, informatics, robotics, engineering, and human-machine …

Efficient inception V2 based deep convolutional neural network for real‐time hand action recognition

SR Bose, VS Kumar - IET Image Processing, 2020 - Wiley Online Library
The most effective and accurate deep convolutional neural network (faster region‐based
convolutional neural network (Faster R‐CNN) Inception V2 model, single shot detector …

MEGURU: a gesture-based robot program builder for Meta-Collaborative workstations

C Nuzzi, S Pasinetti, R Pagani, S Ghidini… - Robotics and Computer …, 2021 - Elsevier
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 …

Uncertainty-assisted image-processing for human-robot close collaboration

S Sajedi, W Liu, K Eltouny, S Behdad… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
The safety of human workers has been the main concern in human-robot close
collaboration. Along with rapidly developed artificial intelligence techniques, deep learning …