Multi-sensor guided hand gesture recognition for a teleoperated robot using a recurrent neural network
Touch-free guided hand gesture recognition for human-robot interactions plays an
increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth …
increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth …
Exploring the potential of fuzzy sets in cyborg enhancement: a comprehensive review
In an era marked by the rapid advancement of information technology, individuals now have
the ability to enhance their organic bodies with mechanical and computational devices …
the ability to enhance their organic bodies with mechanical and computational devices …
Technical methods for social robots in museum settings: An overview of the literature
Robots have become increasingly present in our daily lives, and we see several settings
wherein this technology might positively impact people. One of these settings, and the focus …
wherein this technology might positively impact people. One of these settings, and the focus …
Vision–based framework for automatic interpretation of construction workers' hand gestures
X Wang, Z Zhu - Automation in Construction, 2021 - Elsevier
Construction robots have been recently developed to improve construction productivity and
safety. One of the critical steps to make the robots work with human workers as teams is to …
safety. One of the critical steps to make the robots work with human workers as teams is to …
Naturalistic robot-to-human bimanual handover in complex environments through multi-sensor fusion
Robot-human object handover has been extensively studied in recent years for a wide
range of applications. However, it is still far from being as natural as human-human …
range of applications. However, it is still far from being as natural as human-human …
WR-Hand: Wearable armband can track user's hand
This paper presents WR-Hand, a wearable-based system tracking 3D hand pose of 14 hand
skeleton points over time using Electromyography (EMG) and gyroscope sensor data from …
skeleton points over time using Electromyography (EMG) and gyroscope sensor data from …
Challenges and solutions for vision-based hand gesture interpretation: A review
K Gao, H Zhang, X Liu, X Wang, L **
F Peng, Q Xu, Y Li, M Zheng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Tracking and gras** moving objects are hot topics in the field of robots, which provides
great potential in the industrial scene and human–computer cooperation. Based on the …
great potential in the industrial scene and human–computer cooperation. Based on the …
Patient–therapist cooperative hand telerehabilitation through a novel framework involving the virtual glove system
Telerehabilitation is important for post-stroke or post-surgery rehabilitation because the
tasks it uses are reproducible. When combined with assistive technologies, such as robots …
tasks it uses are reproducible. When combined with assistive technologies, such as robots …
Hand tracking and gesture recognition by multiple contactless sensors: A survey
Hand tracking and gesture recognition are fundamental in a multitude of applications.
Various sensors have been used for this purpose, however, all monocular vision systems …
Various sensors have been used for this purpose, however, all monocular vision systems …