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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
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6 X users

Citations

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Readers on

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32 Mendeley
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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

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 16%
Student > Master 3 9%
Lecturer 2 6%
Unspecified 2 6%
Researcher 2 6%
Other 3 9%
Unknown 15 47%
Readers by discipline Count As %
Engineering 9 28%
Computer Science 2 6%
Unspecified 2 6%
Medicine and Dentistry 1 3%
Neuroscience 1 3%
Other 0 0%
Unknown 17 53%