↓ Skip to main content

Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping

Overview of attention for article published in Frontiers in Artificial Intelligence, January 2022
Altmetric Badge

Mentioned by

twitter
6 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
34 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping
Published in
Frontiers in Artificial Intelligence, January 2022
DOI 10.3389/frai.2021.744476
Pubmed ID
Authors

Matteo Cognolato, Manfredo Atzori, Roger Gassert, Henning Müller

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 15%
Unspecified 4 12%
Student > Master 3 9%
Lecturer 2 6%
Researcher 2 6%
Other 3 9%
Unknown 15 44%
Readers by discipline Count As %
Engineering 9 26%
Unspecified 4 12%
Computer Science 2 6%
Medicine and Dentistry 1 3%
Neuroscience 1 3%
Other 0 0%
Unknown 17 50%