Embodiments are directed to a sensing membrane that is coupled with electrical terminals of a key switch and a light source. This may allow the membrane to be both configured to transmit a signal in response to actuation of keyboard key cap and illuminate an illuminable symbol of key cap. In one aspect, the membrane includes a set of deformable layers separated by a spacer layer. Terminals of the key switch are connected to distinct ones of the set of deformable layers and positioned within a cavity defined by the spacer layer. A light assembly may be positioned along and configured to move with one of the set of deformable layers. Depression of a key cap toward the set of deformable layers causes the set of terminals to move and initiate a switch event.

A word processing system has a keyboard having a plurality of letter keys and a shift key operable to generate capitalized letters, a processor connected to the keyboard and a display connected to the processor. The processor is operable to detect entry of an entered two-letter word, to determine if the entered two-word is in all capital letters, and if the entered two-word is in all capital letters to assess whether the typing was intentional or in error. If if is assessed that the typing was in error, the processor being operable to correct the two-letter word to an initial capital followed by a lower case letter.

Disclosed herein are related to systems and methods for providing inputs through a virtual keyboard with an adaptive language model. In one approach, one or more processors determine whether a user intended to provide semantically meaningful characters or not, when providing a hand motion or a hand pose with respect to a virtual keyboard. The virtual keyboard may be located on a surface without physical keys. In one approach, the one or more processors determine an input to the virtual keyboard based on the hand motion or the hand pose. In one approach, the one or more processors determine weight of a language model according to the determined user intention. In one approach, the one or more processors modify the detected input according to the determined weight of the language model.

A portable electronic device can include a display, a processor, a sensor, and a wireless communication module. The sensor can detect a presence of an operable object near the portable electronic device. The processor can cause the display to depict an interface corresponding to the operable object based at least in part on a detection of the presence of the operable object. The wireless communication module can emit a signal instructing the operable object to perform an action based at least in part on an input to the interface.

A system which, with data provided by one or more sensors, detects a user's alteration of the geometries of parts of his face, head, neck, and/or shoulders. It determines the extent of each alteration and normalizes it with respect to the maximum possible range of each alteration so as to assign to each part-specific alteration a numeric score indicative of its extent. The normalized part-specific scores are combined so as to produce a composite numeric code representative of the complete set of simultaneously-executed geometric alterations. Each composite code is translated, or interpreted, relative to an appropriate context defined by an embodiment, an application executing on an embodiment, or by the user. For example, each composite code might be interpreted as, or assigned to, a specific alphanumeric letter, a color, a musical note, etc. Through the use of this system, a user may communicate data and/or commands to a computerized device, while retaining full use of his hands and his voice for other tasks, and while being free to focus his visual attention on something other than the system.

A method and apparatus for input prediction. The method includes: obtaining an input current text; obtaining a first state parameter of a first text from a cache; inputting the current text and the first state parameter into the recurrent neural network, determining a state parameter of the current text through the recurrent neural network according to the first state parameter; and determining a predicted text of the current text from the word library according to the state parameter of the current text. The first text is a previous text of the current text; the first state parameter is determined through a preset recurrent neural network according to the first text and a state parameter of a previous text of the first text; the recurrent neural network is trained with a preset word library; the word library is used to store words. Through the method and apparatus, time for determining a predicted text is reduced.

A first character string obtainment unit according to one or more embodiments may obtain a first character string in response to an input character string that has been input. A similar character extraction unit extracts similar characters having similar shapes as characters in the first character string. A second character string generation unit generates one or more second character strings in which some or all of the characters in the first character string are replaced with similar characters extracted by the similar character extraction unit. Then, a conversion candidate output unit outputs the first character string and the second character strings as conversion candidates for the input character string.

A word processing system has a keyboard having a plurality of letter keys and a shift key operable to generate capitalized letters, a processor connected to the keyboard and a display connected to the processor. The processor is operable to detect entry of an entered two-letter word, to determine if the entered two-word is in all capital letters, and if the entered two-word is in all capital letters to assess whether the typing was intentional or in error. If it is assessed that the typing was in error, the processor being operable to correct the two-letter word to an initial capital followed by a lower case letter.

A device and method for using a remote computing system, such as a smartphone or tablet, to convert speech to text through software residing on the system, transmitting the processed text wirelessly and privately to a peripheral, and having the peripheral interface with a destination computing system and appear as a generic human interface device, such as a keyboard, in order to transmit keyboard character codes through the interface to be entered into text boxes or fields on the destination computing system. By appearing to be a keyboard, the peripheral would not be locked out of the destination computing systems, even if the destination computing system is secured against software and hardware installations, restrictions by which other peripheral devices would be limited.

Systems, methods, and non-transitory computer readable media containing instructions for causing at least one processor to perform operations for integrating a moveable input device with a virtual display projected via a wearable extended reality appliance. In one implementation, the processor is configured to perform operations comprising receiving motion signals associated with the moveable input device, the motion signals reflecting physical movement; outputting during a first time period, first display signals to the reality appliance, the first display signals being configured to cause the wearable extended reality appliance to virtually present content in a first orientation; outputting during a second time period, second display signals to the wearable extended reality appliance, the second display signals being configured to cause the wearable extended reality appliance to virtually present the content in a second orientation; and switching between the output of the first display signals and the output of the second display signals.