In many computer program applications, the number of possible actions that are likely to be executed can be quite large. A reduced set of possible actions can be determined by a computer program based on the measured nerve activity, eye gaze direction, and the location of fingers, etc. Then, with additional evidence from the computer software/application, content etc., a final decision can be made regarding which possible action to execute. This might both improve estimated input accuracy and make the system faster.
In some embodiments, pre-touch/pre-press activity could be detected by nerve signal analysis and used to reduce latency for real-time network applications, such as online games. For example, if a particular combination of nerve signals can be reliably correlated to a specific user activity, such as pressing a specific button on a controller, it may be possible to detect that a user is about to perform the specific activity, e.g., press the specific button.