A machine vision-based gestural interface for people with upper extremity physical impairments
A machine vision-based gestural interface was developed to provide individuals with upper
extremity physical impairments an alternative way to perform laboratory tasks that require …
extremity physical impairments an alternative way to perform laboratory tasks that require …
Facilitated gesture recognition based interfaces for people with upper extremity physical impairments
A gesture recognition based interface was developed to facilitate people with upper
extremity physical impairments as an alternative way to perform laboratory experiments that …
extremity physical impairments as an alternative way to perform laboratory experiments that …
Robot learning of assistive manipulation tasks by demonstration via head gesture-based interface
M Kyrarini, Q Zheng, MA Haseeb… - 2019 IEEE 16th …, 2019 - ieeexplore.ieee.org
Assistive robotic manipulators have the potential to support the lives of people suffering from
severe motor impairments. They can support individuals with disabilities to independently …
severe motor impairments. They can support individuals with disabilities to independently …
An sEMG-based human–robot interface for robotic hands using machine learning and synergies
R Meattini, S Benatti, U Scarcia… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Developing natural control strategies represents an intriguing challenge in the design of
human-robot interface (HRI) systems. The teleoperation of robotic grasping devices …
human-robot interface (HRI) systems. The teleoperation of robotic grasping devices …
Head gesture-based control for assistive robots
Development of assistive robotics to enable people with disabilities to work is a challenging
topic. Hands-free interfaces can support a person with severe motor impairments to control …
topic. Hands-free interfaces can support a person with severe motor impairments to control …
An assistive decision-and-control architecture for force-sensitive hand–arm systems driven by human–machine interfaces
Fully autonomous applications of modern robotic systems are still constrained by limitations
in sensory data processing, scene interpretation, and automated reasoning. However, their …
in sensory data processing, scene interpretation, and automated reasoning. However, their …
Source selection for real-time user intent recognition toward volitional control of artificial legs
Various types of data sources have been used to recognize user intent for volitional control
of powered artificial legs. However, there is still a debate on what exact data sources are …
of powered artificial legs. However, there is still a debate on what exact data sources are …
Tracking of deformable human hand in real time as continuous input for gesture-based interaction
X Wang, X Zhang, G Dai - … of the 12th international conference on …, 2007 - dl.acm.org
Gesture input is a natural and effective interactive model. The tracking of deformable hand
gesture is a very important task in gesture-based interaction. A novel real-time tracking …
gesture is a very important task in gesture-based interaction. A novel real-time tracking …
Design of user-independent hand gesture recognition using multilayer perceptron networks and sensor fusion techniques
JG Colli-Alfaro, A Ibrahim… - 2019 IEEE 16th …, 2019 - ieeexplore.ieee.org
According to the World Health Organization, stroke is the third leading cause of disability. A
common consequence of stroke is hemiparesis, which leads to the impairment of one side of …
common consequence of stroke is hemiparesis, which leads to the impairment of one side of …
Integrated vision-based system for efficient, semi-automated control of a robotic manipulator
Purpose–The purpose of this paper is to develop an integrated, computer vision-based
system to operate a commercial wheelchair-mounted robotic manipulator (WMRM). In …
system to operate a commercial wheelchair-mounted robotic manipulator (WMRM). In …