30 citations · 43 across the 5 of their papers we have counts for
4 papers · 1 filter
Inexpensive surface electromyography sleeve with consistent electrode placement enables dexterous and stable prosthetic control through deep learning
Jacob A. George, Anna Neibling, Michael D. Paskett +1
The dexterity of conventional myoelectric prostheses is limited in part by the small datasets used to train the control algorithms. Variations in surface electrode positioning make…
Bilaterally Mirrored Movements Improve the Accuracy and Precision of Training Data for Supervised Learning of Neural or Myoelectric Prosthetic Control
Jacob A. George, Troy N. Tully, Paul C. Colgan +1
Intuitive control of prostheses relies on training algorithms to correlate biological recordings to motor intent. The quality of the training dataset is critical to run-time perfor…
Inexpensive and Portable System for Dexterous High-Density Myoelectric Control of Multiarticulate Prostheses
Jacob A. George, Sridharan Radhakrishnan, Mark R. Brinton +1
Multiarticulate bionic arms are now capable of mimicking the endogenous movements of the human hand. 3D-printing has reduced the cost of prosthetic hands themselves, but there is c…
A Modular Transradial Bypass Socket for Surface Myoelectric Prosthetic Control in Non-Amputees
Michael D. Paskett, Nathaniel R. Olsen, Jacob A. George +5
Bypass sockets allow researchers to perform tests of prosthetic systems from the prosthetic user's perspective. We designed a modular upper-limb bypass socket with 3D-printed compo…