Abstract:
“Real-world” gestures such as hand or finger movements/orientations that are generally recognized to mean certain things (e.g., an “OK” hand signal generally indicates an affirmative response) can be interpreted by a touch or hover sensitive device to more efficiently and accurately effect intended operations. These gestures can include, but are not limited to, “OK gestures,” “grasp everything gestures,” “stamp of approval gestures,” “circle select gestures,” “X to delete gestures,” “knock to inquire gestures,” “hitchhiker directional gestures,” and “shape gestures.” In addition, gestures can be used to provide identification and allow or deny access to applications, files, and the like.
Abstract:
“Real-world” gestures such as hand or finger movements/orientations that are generally recognized to mean certain things (e.g., an “OK” hand signal generally indicates an affirmative response) can be interpreted by a touch or hover sensitive device to more efficiently and accurately effect intended operations. These gestures can include, but are not limited to, “OK gestures,” “grasp everything gestures,” “stamp of approval gestures,” “circle select gestures,” “X to delete gestures,” “knock to inquire gestures,” “hitchhiker directional gestures,” and “shape gestures.” In addition, gestures can be used to provide identification and allow or deny access to applications, files, and the like.
Abstract:
Apparatus and methods are disclosed for simultaneously tracking multiple finger and palm contacts as hands approach, touch, and slide across a proximity-sensing, multi-touch surface. Identification and classification of intuitive hand configurations and motions enables unprecedented integration of typing, resting, pointing, scrolling, 3D manipulation, and handwriting into a versatile, ergonomic computer input device.
Abstract:
The use of multiple stimulation frequencies and phases to generate an image of touch on a touch sensor panel is disclosed. Each of a plurality of sense channels can be coupled to a column in a touch sensor panel and can have multiple mixers. Each mixer in the sense channel can utilize a circuit capable generating a demodulation frequency of a particular frequency. At each of multiple steps, various phases of selected frequencies can be used to simultaneously stimulate the rows of the touch sensor panel, and the multiple mixers in each sense channel can be configured to demodulate the signal received from the column connected to each sense channel using the selected frequencies. After all steps have been completed, the demodulated signals from the multiple mixers can be used in calculations to determine an image of touch for the touch sensor panel at each frequency.
Abstract:
Techniques for identifying and discriminating between different input patterns to a multi-touch touch-screen device are described. By way of example, large objects hovering a short distance from the touch-surface (e.g., a cheek, thigh or chest) may be identified and distinguished from physical contacts to the surface. In addition, rough contacts due to, for example, ears and earlobes, may be similarly identified and distinguished from contacts due to fingers, thumbs, palms and finger clasps.
Abstract:
A touch sensor panel is disclosed. The touch sensor panel includes a plurality of rows, at least one of the rows being a split row including a plurality of row subsections; and a plurality of columns, at least one of the columns being a split column including a plurality of column subsections. The touch sensor panel is configured with at least one split row and at least one split column located to increase a likelihood that a touch anywhere on the touch sensor panel overlaps with at least one split row and at least one split column. The rows and columns are individually charged electrodes capable of detecting a change in capacitance in a corresponding area of the touch sensor panel.
Abstract:
Pre-stored no-touch or no-hover (no-event) sensor output values can initially be used when a sensor panel subsystem is first booted up to establish an initial baseline of sensor output values unaffected by fingers or other objects touching or hovering over the sensor panel during boot-up. This initial baseline can then be normalized so that each sensor generates the same output value for a given amount of touch or hover, providing a uniform response across the sensor panel and enabling subsequent touch or hover events to be more easily detected. After the initial normalization process is complete, the pre-stored baseline can be discarded in favor of a newly captured no-event baseline that may be more accurate than the pre-stored baseline due to temperature or other variations.
Abstract:
Peripherals and data processing systems are disclosed which can be configured to interact based upon sensor data. In at least certain embodiments, a method for sensing motion and orientation information for a device includes receiving a motion event from at least one sensor located in a device. The method further includes determining an orientation for a display of the device. The method further includes determining whether the device is currently moving. The method further includes determining whether the device moves within an angle with respect to a ground reference for a first time period. The method further includes switching the orientation of the display of the device if the device moves in excess of the angle.
Abstract:
Distinguishing sloppy taps from sliding motions is disclosed using an algorithm that can take into account both a time instability factor Tinst and a touch instability factor Zinst. A limited amount of motion per frame can be subtracted off immediately following the detection of a touch event. Small lateral motions indicative of a sloppy tap can be suppressed, while fast finger motions indicative of a quick, long cursor movement can immediately pass through the filter without being suppressed by a significant amount. A motion pass-through suppression factor can be applied subtractively to motion in particular direction as a function of Zinst and Tinst, wherein Zinst can represent a suppression value given as a finger speed for a particular percentage change in touch instability per frame, and Tinst can represent a suppression value given as finger speed for a particular tpress.
Abstract:
Disclosed are four arrangements for providing tactility on a touch surface keyboard. One approach is to provide tactile feedback mechanisms, such as dots, bars, or other shapes on all or many keys. In another embodiment, an articulating frame may be provided that extends when the surface is being used in a typing mode and retracts when the surface is used in some other mode, e.g., a pointing mode. The articulating frame may provide key edge ridges that define the boundaries of the key regions or may provide tactile feedback mechanisms within the key regions. The articulating frame may also be configured to cause concave depressions similar to mechanical key caps in the surface. In another embodiment, a rigid, non-articulating frame may be provided beneath the surface. A user will then feel higher resistance when pressing away from the key centers, but will feel a softer resistance at the key center.