Back to search

Article

Electromyography Classification during Reach-to-Grasp Motion using Manifold Learning

2020-07-16

Abstract excerpt

Electromyography (EMG) is a simple, non-invasive, and cost-effective technology for sensing muscle activity. However, EMG is also noisy, complex, and high-dimensional. It has nevertheless been widely used in a host of human-machine-interface applications (electrical wheelchairs, virtual computer mice, prosthesis, robotic fingers, etc.) and in particular to measure reaching and grasping motions of the human hand. H...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
54ca01f6-61ee-542c-9582-80008c8b75be
DOI
10.1101/2020.07.16.207639
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Electromyography Classification during Reach-to-Grasp Motion using Manifold LearningDOI 10.1101/2020.07.16.207639
Select a neighboring publication to make it the new centre.