The pivot shaft structure moving around virtual axis includes an assembly of a main body, a first operation board and a second operation board disposed on the main body. The first operation board has an arm section. The second operation board has an arm section. The arm sections of the first and second operation boards are respectively received in a first arched rail and a second arched rail of the main body. The first and second arched rails are arched and disposed around a virtual axis. When a user operates the first operation board or the second operation board to move, the first operation board or the arm section thereof and the second operation board or the arm section thereof respectively synchronously move around the virtual axis along the first and second arched rails toward each other to achieve opening/closing effect.

A virtual reality (VR) or augmented reality (AR) system includes: a display configured to display a user interface to a user; an integrated scrollwheel and fingerprint sensor (FPS) user input apparatus, comprising a scrollwheel configured to detect a rotational navigation input from the user and an FPS configured to detect a biometric input from the user; and a processing system configured to: receive the rotational navigation input via the scrollwheel of the integrated scrollwheel and FPS user input apparatus; update a displayed user interface on the display based on the received rotational navigation input, wherein updating the displayed user interface comprises updating a user selection on a displayed menu; receive an activation input for the updated user selection on the displayed menu via the FPS of the integrated scrollwheel and FPS user input apparatus; and execute an operation corresponding to the updated user selection on the displayed menu.

Adjusting a cursor speed may include a sensor with at least one capacitance sense electrode, a controller in communication with the sensor, memory in communication with the controller, and programmed instructions stored in the memory and configured, when executed, to cause the capacitance controller to detect movement of an object moving proximate the sensor at an object speed, apply a cursor speed to a cursor depicted in a display based at least in part on a cursor-to-object speed relationship, detect a trigger event in the detected object movement, and change the cursor-to-object speed relationship in response to detecting the trigger event.

An example apparatus Includes a first hinge, a first housing having a hinge region and a support panel, where the support panel is to extend from the hinge region. The apparatus also Includes a first display device rotatably coupled to the support panel via the first hinge, a second housing having a set of external electrical contact to provide power to a removable input device, a second hinge to rotatably couple the first housing to the second housing, and a second display device fixedly coupled to the second housing.

One variation of a system includes a substrate including: a first layer including a first spiral trace coiled in a first direction; a second layer arranged below the first layer and including a second spiral trace coiled in a second direction and cooperating with the first spiral trace to form a multi-layer inductor; and a sensor layer including an array of drive and sense electrode pairs. The system also includes: a cover layer arranged over the substrate and defining a touch sensor surface; and a first magnetic element arranged below the substrate and defining a first polarity facing the multi-layer inductor. The system further includes a controller configured to drive an oscillating voltage across the multi-layer inductor to oscillate the substrate in response to detecting an input on the touch sensor surface based on electrical values from the set of drive and sense electrode pairs.

An electronic device according to various embodiments may include: a housing, a guide portion formed in the housing and having a shape corresponding to a pen input device to accommodate the pen input device, a body disposed in the housing adjacent to the guide portion, an engagement protrusion including a protrusion portion protruding from one surface of the body wherein at least a portion of the protrusion portion is disposed inside the guide portion and an engagement portion formed at an end of the protrusion portion, and an opening formed in the body portion wherein the engagement protrusion is configured to move relative to the body.

The technology provides for an electronic device with gesture detection. In this regard, the device may include a housing, and one or more sensors positioned along an inner periphery of the housing. The sensors may be adapted to detect user interaction with an outer surface of the housing. The device may further include one or more processors in communication with the plurality of sensors. The one or more processors may be configured to determine the user interaction and to determine a type of gesture based on the detected user interaction, determine a type of input command based on the determined gesture, and execute a task corresponding to the determined type of input command.

An electronic device may have a display. The display may have an active region in which display pixels are used to display images. The display may have one or more openings and may be mounted in a housing associated with the electronic device. An electronic component may be mounted in alignment with the openings in the display. The electronic component may include a camera, a light sensor, a light-based proximity sensor, status indicator lights, a light-based touch sensor array, a secondary display that has display pixels that may be viewed through the openings, antenna structures, a speaker, a microphone, or other acoustic, electromagnetic, or light-based component. One or more openings in the display may form a window through which a user of the device may view an external object. Display pixels in the window region may be used in forming a heads-up display.

A device implementing a system for machine-learning based gesture recognition includes at least one processor configured to, receive, from a first sensor of the device, first sensor output of a first type, and receive, from a second sensor of the device, second sensor output of a second type that differs from the first type. The at least one processor is further configured to provide the first sensor output and the second sensor output as inputs to a machine learning model, the machine learning model having been trained to output a predicted gesture based on sensor output of the first type and sensor output of the second type. The at least one processor is further configured to determine the predicted gesture based on an output from the machine learning model, and to perform, in response to determining the predicted gesture, a predetermined action on the device.

A consumer product that is a portable and, in some cases, a wearable electronic device. The wearable electronic device may have functionalities including: keeping time; monitoring a user's physiological signals and providing health-related information based on those signals; communicating with other electronic devices or services; visually depicting data on a display; gather data form one or more sensors that may be used to initiate, control, or modify operations of the device; determine a location of a touch on a surface of the device and/or an amount of force exerted on the device, and use either or both as input.