Patent classifications
G06F3/04186
ELECTRONIC DEVICE AND METHOD FOR INPUT COORDINATE PREDICTION
An electronic device is provided. The electronic device includes a display, a memory, and a processor operatively connected to the display and the memory. The processor, in response to receiving at least one touch input to the display, analyzes an input characteristic of the at least one touch input, based on the at least one touch input, generates predictive coordinate points corresponding to a plurality of different time points, respectively, and based on the input characteristic, determines a number of predictive coordinate points to be used.
ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE INCLUDING TOUCH SCREEN PANEL
An electronic device and a method of operating the same are provided. The electronic device includes a touch screen, and at least one processor configured to determine, as any one of a first touch type or a second touch type, a type of a user input inputted on the touch screen, output a user interface (UI) corresponding to the first touch type based on the type of inputted touch being determined as the first touch type, correct the determined type as the second touch type based on an error being determined to be present in determining the type of inputted touch as the first touch type, and output a UI corresponding to the second touch type.
Systems for real-time intelligent haptic correction to typing errors and methods thereof
Systems and methods of the present disclosure enable context-aware haptic error notifications. The systems and methods include a processor to receive input segments into a software application from a character input component and determine a destination. A context identification model predicts a context classification of the input segments based at least in part on the software application and the destination. Potential errors are determined in the input segments based on the context classification. An error characterization machine learning model determines an error type classification and an error severity score associated with each potential error and a haptic feedback pattern is determined for each potential error based on the error type classification and the error severity score of each potential error of the one or more potential errors. And a haptic event latency is determined based on the error type classification and the error severity score of each potential error.
Display device and method for operating the same
A display device includes a display panel, an input sensor, and a readout circuit. The display panel is configured to display an image. The input sensor is disposed on the display panel. The readout circuit is configured to output a moisture level signal corresponding to sensing signals received from the input sensor in a skin measurement mode.
Systems and methods for adaptive input thresholding
The disclosed computer-implemented method may include detecting, by a computing system, a gesture that appears to be intended to trigger a response by the computing system, identifying, by the computing system, a context in which the gesture was performed, and adjusting, based at least on the context in which the gesture was performed, a threshold for determining whether to trigger the response to the gesture in a manner that causes the computing system to perform an action that is based on the detected gesture.
Electronic device and control method thereof
An electronic device and method are disclosed. The electronic device includes a foldable display that is at least partially foldable, at least one processor, and at least one memory. The processor implements the method, including detecting, by at least one processor, that a foldable display of the electronic device changes from an unfolded state to a partially folded state, configuring a first region of the foldable display to accept touch inputs in the partially folded state, and configuring a second region of the foldable display to accept non-touch inputs in the partially folded state.
PROVIDING A DRIVEN SHIELD DURING CAPACITANCE MEASUREMENT
One or more examples of the present disclosure relate generally to systems and methods for canceling mutual capacitive effects in a capacitance measurement. Some examples relate to providing a driven shield during capacitance measurement. Some examples relate to providing such a driven shield using rail-to-rail voltage.
Touch Region Adjustment Method and Apparatus
A touch region adjustment method includes: determining a region on a touch display of a terminal device and in which a sensing parameter changes to determine a grasping gesture of a user for the terminal device; and adjusting a location of a touch response region on the touch display based on the grasping gesture of the user for the electronic device to avoid an accidental touch caused by the grasping gesture of the user for the screen of the terminal device.
ELECTRONIC DEVICE AND OPERATION CONTROL METHOD
An electrical device and an operation control method are provided. The electronic device includes a touch module and a processor. The touch module includes a touchable region. The touchable region is divided into at least a first touchable region and a second touchable region. The first touchable region is configured to implement a first function. The second touchable region is configured to implement the first function and a second function. The processor is electrically connected to the touch module. When at least one first touch point is detected in the first touchable region, at least one second touch point is detected in the second touchable region, and the processor determines that a distance between the first touch point and the second touch point is within a predetermined distance, the second touchable region is switched to implementing the first function.
Low latency input object detection under low ground mass condition
A processing system configured to detect an input object proximate the processing system. The processing system includes sensor circuitry configured to make a determination, when the processing system is in a low ground mass (LGM) state, that a large object is proximate to sensor electrodes of the processing system. The sensor circuitry is further configured, in response to a determination that a large object is proximate the sensor electrodes while the processing system is in the LGM state, to drive a first group of sensor electrodes with one of an inverted signal or a non-inverted signal and drive a second group of sensor electrodes with a static DC voltage.