Abstract: The disclosed computer-implemented method may include presenting, via a user interface, a sensory cue, and receiving, from neuromuscular sensors of a wearable device, various neuromuscular signals generated by a user wearing the wearable device, where the user generates the neuromuscular signals in response to the sensory cue being presented to the user via the user interface. The method may also include interpreting the received neuromuscular signals as input commands with respect to the sensory cue provided by the user interface, such that the input commands initiate performance of specified tasks within the user interface. The method may also include performing the specified tasks within the user interface according to the interpreted input commands. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed systems may include systems and methods for clock synchronization under random transmission delay conditions. Additionally, systems and methods for horizon leveling for wrist captured images may be disclosed. In addition, the disclosed may include methods, systems, and devices for batch message transfer. The disclosed methods may also include a mobile computing device receiving an indication to initiate an emergency voice call by a user of the mobile computing device and initiating an Internet Protocol Multimedia Subsystem (IMS) emergency call. In addition, systems, methods, and devices for automatic content display may be disclosed. Various other related methods and systems are also disclosed.

Abstract: The disclosed computer-implemented method may include presenting, via a user interface, a sensory cue, and receiving, from neuromuscular sensors of a wearable device, various neuromuscular signals generated by a user wearing the wearable device, where the user generates the neuromuscular signals in response to the sensory cue being presented to the user via the user interface;. The method may also include interpreting the received neuromuscular signals as input commands with respect to the sensory cue provided by the user interface, such that the input commands initiate performance of specified tasks within the user interface. The method may also include performing the specified tasks within the user interface according to the interpreted input commands. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed systems and methods are generally directed generating user control schemes based on neuromuscular data. The disclosed systems and methods may comprise feature space or latent space representations of neuromuscular data to train users and for users to achieve greater neuromuscular control of machines and computers. In certain embodiments, the systems and methods employ multiple distinct inferential models (e.g., full control schemes using inferential models trained in multiple regions of a feature space). Various other methods, systems, and computer-readable media are also disclosed.