Eion Tyacke — accepted AI-conference papers

2024

From Unstable Electrode Contacts to Reliable Control: A Deep Learning Approach for HD-sEMG in Neurorobotics

Eion Tyacke, Kunal Gupta, Jay Patel, Raghav Katoch, S. Farokh Atashzar

ICRA 2024poster

In the past decade, there has been significant advancement in designing wearable neural interfaces for controlling neurorobotic systems, particularly bionic limbs. These interfaces function by decoding signals captured noninvasively from the skin’s surface. Portable high-density surface electromyogr…

Cited by 1 Source ↗Scholar ↗

2022

Hand Gesture Recognition via Transient sEMG Using Transfer Learning of Dilated Efficient CapsNet: Towards Generalization for Neurorobotics

Eion Tyacke, Shreyas P. J. Reddy, Natalie Feng, Rama Edlabadkar, Shucong Zhou, Jay Patel +2

RA-L 2022

There has been an accelerated surge in utilizing the deep neural network to decode central and peripheral activations of the human nervous system to boost the spatiotemporal resolution of neural interfaces used in human-centered robotic systems, such as prosthetics, and exoskeletons. Deep learning m

Cited by 18 Source ↗Scholar ↗