Leland Stanford Junior University

Nir Even-Chen

Krishna V Shenoy

Jonathan C Kao

Sergey Stavisky

Systems and methods for using virtual keyboards for high dimensional controllers in accordance with embodiments of the invention are illustrated. One embodiment includes a virtual keyboard system including a processor, and a memory, including a virtual keyboard application, where the virtual keyboard application directs the processor to display a plurality of 3D keys in a virtual environment, where each 3D key represents at least one symbol via a display device, display a cursor in the virtual environment, where the cursor is movable in at least three dimensions via the display device, obtain a user input data from an input device, move the cursor to a 3D key in the plurality of 3D keys based on the user input data, and record the at least one symbol represented by the 3D key.

Systems and methods for virtual keyboards for high dimensional controllers

A brain machine interface (BMI) for improving a performance of a subject is provided. The BMI has two decoders that act in real-time and in parallel to each other. The first decoder is for intention execution of a subject's intention. The second decoder is for error detection in a closed-loop error fashion with the first detector and to improve the performance of the first detector. Embodiments of this invention may enable an entirely new way to substantially increase the performance and robustness, user experience, and ultimately the clinical viability of BMI systems.

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Stanford, CA, United States of America

Nir Even-Chen