Abstract:
The detection of finger pinch, rotate, and tap gestures along with a translation and optionally liftoff motion to initiate certain actions is disclosed. To detect both the gesture and the translation, a certain amount of gesture scaling speed can be detected along with a certain amount of translation speed and distance traveled. For a finger pinch gesture, the scaling speed can be computed as the dot product of the velocity vectors of two or more fingers coming together. For a finger rotation gesture, the scaling speed can be computed as a cross product of the velocity vectors of the rotating fingers. The translation speed of a gesture can be computed as the average of the velocity vectors of any fingers involved in the gesture. The amount of gesture scaling speed and translation speed needed to trigger the recognition of a combined gesture with translation can be a predetermined ratio.
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:
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:
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:
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:
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:
Systems, methods, and devices for interpreting manual swipe gestures as input in connection with touch-sensitive user interfaces that include virtual keyboards are disclosed herein. These allow for a user entering text using the virtual keyboard to perform certain functions using swipes across the key area rather than tapping particular keys. For example, leftward, rightward, upward, and downward swipes can be assigned to inserting a space, backspacing, shifting (as for typing capital letters), and inserting a carriage return and/or new line. Various other mappings are also described. The described techniques can be used in conjunction with a variety of devices, including handheld devices that include touch-screen interfaces, such as desktop computers, tablet computers, notebook computers, handheld computers, personal digital assistants, media players, mobile telephones, and combinations thereof.
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:
“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.