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Search Results - non-invasive+bmi
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AI Copilot: Enhancing Brain-Machine Interface Performance (UCLA Case No. 2023-110)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an artificial intelligence (AI) assistance framework for brain-machine interface (BMI) applications designed to enhance users' ability to complete tasks efficiently and swiftly. Background: Paralysis affects over 5 million individuals in the U.S.,...
Published: 7/30/2024
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Inventor(s):
Jonathan Kao
,
Brandon McMahan
,
Sangjoon Lee
,
Johannes Lee
Keywords(s):
actor-critic networks
,
AI copilot
,
Artificial Intelligence
,
Artificial Neural Network
,
Brain-Computer Interface
,
brain-machine interface (BMI)
,
deep reinforcement learning
,
integrated robotics
,
neural effort
,
neural information
,
neural signals
,
non-invasive BMI
,
Orthopedics and Prosthetics (O & P)
,
Prosthesis
,
Prosthetics
,
Robotics
Category(s):
Medical Devices
,
Medical Devices > Prosthetics
,
Mechanical
,
Mechanical > Robotics
,
Software & Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Electrical > Electronics & Semiconductors