This paper proposes a method that removes the calibration phase, and allows a user to control an agent to solve a sequential task. The proposed method assumes a ...
This paper proposes a method that removes the calibration phase, and allows a user to control an agent to solve a sequential task. The proposed method assumes a ...
The proposed method exploits task constraints to simultaneously calibrate the decoder and control the device, by using a robust likelihood function and an ad- ...
Calibration-Free BCI Based Control | Proceedings of the AAAI ...
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Jun 21, 2014 · This paper proposes a method that removes the calibration phase, and allows a user to control an agent to solve a sequential task. The proposed ...
Abstract: Recent works have explored the use of brain signals to directly control virtual and robotic agents in sequential tasks.
A method is proposed that removes the calibration phase, and allows a user to control an agent to solve a sequential task, and infers the interpretation of ...
Apr 25, 2024 · Researchers from The University of Texas at Austin have developed a “one size fits all” brain-computer interface (BCI) using machine ...
These results indicate that the proposed system can be effectively used as a two-state BCI switch to enable control of external applications. Published in ...
Jun 29, 2022 · In this paper, we reviewed the algorithms utilized by the participants, extracted the trends and highlighted interesting approaches from these methods to ...
Jul 31, 2024 · This study focuses on enhancing cross-subject (CS) MI EEG classification using EEG spectrum images. The proposed calibration-free approach employs deep ...