A control method is provided, which is applied to an electronic apparatus including an input device. The control method includes the following steps: detecting whether a setup program exists or not, wherein the setup program includes a plurality of adjusting information; detecting whether the setup program is executed or not, when the setup program exists; receiving a selecting instruction, when the setup program is executed; generating a control signal according to the selecting instruction and the adjusting information; receiving an input signal generated by the input device; and delaying and processing the input signal according to the control signal.

A control method is provided, which is applied to an electronic apparatus including an input device. The control method includes the following steps: detecting whether a setup program exists or not, wherein the setup program includes a plurality of adjusting information; detecting whether the setup program is executed or not, when the setup program exists; receiving a selecting instruction, when the setup program is executed; generating a control signal according to the selecting instruction and the adjusting information; receiving an input signal generated by the input device; and delaying and processing the input signal according to the control signal.

Applications under test (AUT) may be tested by automated testing systems utilizing machine vision to recognize visual elements presented by the AUT and apply inputs to graphical elements, just as a human would. By utilizing the smallest image patch available, processing demands of the testing system are minimized. However, the image patch used to identify a portion of an AUT must be identifiable to the automated system. By selecting image patches that comprise the smallest size, but can be identified in an AUT by an automated system using machine vision, even as the AUT display is resized, reproportioned, noisy, or otherwise altered from the testing platform that was utilized for training.

Applications under test (AUT) may be tested by automated testing systems utilizing machine vision to recognize visual elements presented by the AUT and apply inputs to graphical elements, just as a human would. By utilizing the smallest image patch available, processing demands of the testing system are minimized. However, the image patch used to identify a portion of an AUT must be identifiable to the automated system. By selecting image patches that comprise the smallest size, but can be identified in an AUT by an automated system using machine vision, even as the AUT display is resized, reproportioned, noisy, or otherwise altered from the testing platform that was utilized for training.

Systems and methods for a wireless controller are provided. The wireless controller includes an enclosure having a top and a bottom, each having a substantially circular perimeter, and a side having a height circumferentially around the perimeter of the top and the bottom. A first sensor is configured to detect movement of the enclosure. A processor is coupled to the first sensor and configured to process signals from the first sensor and to send command signals via a wireless interface based at least upon the signals from the first sensor.

An electronic device includes a flexible display, a sensor, a memory, and a processor. The memory stores instructions that cause the processor to receive a first user input through a display, display at least one graphic user interface (GUI) on the display in response to the first user input, receive a second user input with respect to the at least one GUI, determine a multi-window layout on the basis of the second user input, receive a third user input with respect to the at least one GUI, determine, on the basis of the third user input, at least one application to be operated on the multi-window layout, detect a shape change of the electronic device due to unfolding or sliding by using the sensor, and display the multi-window layout and the at least one application on the display based on the display being extended.

An input control method includes, in response to entering a first state, turning on a first mode, the first state being a state requiring input, and receiving first data sent by a first apparatus, the first data being data associated with the first mode.

An input control method includes, in response to entering a first state, turning on a first mode, the first state being a state requiring input, and receiving first data sent by a first apparatus, the first data being data associated with the first mode.

An information method includes obtaining a display object and a display area, wherein the display area is at least part of a display output area of a display screen; displaying the display object in the display area; changing a display state of the display object in the display area in response to an input operation, wherein the input operation includes at least a moving operation; and determining that the display state of the display object satisfies a target display state, and that the display object in the target display state includes a target item responding to the moving operation, stopping an edge of the display object in the target display state within the display area.

A mobile computing device has a display with a curved (i.e. non-linear) surface along one or more edges. The curved surface is force (i.e. pressure) sensitive, such that an amount of pressure applied to the surface at a given point (or a region) of the surface is sensed and adapted to be converted into a control signal. One or more control signals generated by sensing a user's interaction with the curved surface are converted into user interface (UI) operations, such as the opening of one or more applications, application menus, or the like. Preferably, the amount of pressure applied by the user varies, and application of a first pressure generates a first control action, and application of a second pressure greater than the first pressure generates a second control action that is related to the first control action.