2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.RO2022★ 2 cited
Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface
Diu Khue Luu, Anh Tuan Nguyen, Ming Jiang +11
Objective: The next generation prosthetic hand that moves and feels like a real hand requires a robust neural interconnection between the human minds and machines. Methods: Here we…
cs.RO2021
A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control
Anh Tuan Nguyen, Markus W. Drealan, Diu Khue Luu +6
Objective: Deep learning-based neural decoders have emerged as the prominent approach to enable dexterous and intuitive control of neuroprosthetic hands. Yet few studies have mater…
cs.NE2018
Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural Recording
Tong Wu, Wenfeng Zhao, Edward Keefer +1
Understanding the coordinated activity underlying brain computations requires large-scale, simultaneous recordings from distributed neuronal structures at a cellular-level resoluti…