New paper: “Progressive unsupervised control of myoelectric upper limbs”

Symbolic picture for the article. The link opens the image in a large view.

We are glad to highlight Andrea Gigli‘s latest achievement, a paper about unsupervised myocontrol which just appeared on the Journal of Neural Engineering.

Unsupervised myocontrol is an amazing, novel way to understand an amputated person’s intent to move, and this paper clearly demosntrates its potential. In particular, in this work Andrea uses incrementality in two ways: in the machine-learning algorithm, and in the experimental protocol, where the complexity of tasks increases along time.

Thumbs up! The paper is available here.