Methods and systems for processing touch inputs are disclosed. The invention in one respect includes reading data from a multipoint sensing device such as a multipoint touch screen where the data pertains to touch input with respect to the multipoint sensing device, and identifying at least one multipoint gesture based on the data from the multipoint sensing device.

Gestures for touch sensitive input devices

Apparatus and methods are disclosed for simultaneously tracking multiple finger (202-204) and palm (206, 207) contacts as hands approach, touch, and slide across a proximity-sensing, compliant, and flexible multi-touch surface (2). The surface consists of compressible cushion (32), dielectric electrode (33), and circuitry layers. A simple proximity transduction circuit is placed under each electrode to maximize the signal-to-noise ratio and to reduce wiring complexity. Scanning and signal offset removal on electrode array produces low-noise proximity images. Segmentation processing of each proximity image constructs a group of electrodes corresponding to each distinguishable contacts and extracts shape, position and surface proximity features for each group. Groups in successive images which correspond to the same hand contact are linked by a persistent path tracker (245) which also detects individual contact touchdown and liftoff. 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.

Method and apparatus for integrating manual input

A user interface method is disclosed. The method includes detecting a touch and then determining a user interface mode when a touch is detected. The method further includes activating one or more GUI elements based on the user interface mode and in response to the detected touch.

Mode-based graphical user interfaces for touch sensitive input devices

Proximity based systems and methods that are implemented on an electronic device are disclosed. The method includes sensing an object spaced away and in close proximity to the electronic device. The method also includes performing an action in the electronic device when an object is sensed.

Proximity detector in handheld device

Disclosed herein are liquid-crystal display (LCD) touch screens that integrate the touch sensing elements with the display circuitry. The integration may take a variety of forms. Touch sensing elements can be completely implemented within the LCD stackup but outside the not between the color filter plate and the array plate. Alternatively, some touch sensing elements can be between the color filter and array plates with other touch sensing elements not between the plates. In another alternative, all touch sensing elements can be between the color filter and array plates. The latter alternative can include both conventional and in-plane-switching (IPS) LCDs. In some forms, one or more display structures can also have a touch sensing function. Techniques for manufacturing and operating such displays, as well as various devices embodying such displays are also disclosed.

Touch screen liquid crystal display

Noise problems in processing small images or large-granularity images are reduced by representing hand images as rotational vectors calculated using a real-valued centroid. The hand region is therefore sectored independently of pixel quantization. Color segmentation is used to identify hand-color regions, followed by region labelling to filter out noise regions based on region size. Principal component analysis is used to plot gesture models.

A hand gesture recognition system and method

PROBLEM TO BE SOLVED: To efficiently execute the recognition of hand gesture by means of the processing circuit of comparatively low throughput by expressing a rotation vector calculated through the use of the real value of the centroid of an expressed hand and analyzing a series of rotating vectors so as to recognize hand gesture SOLUTION: A hand gesture recognizing system 1 is provided with an inputting means accepting a series of pictures expressing the hand in real time, the picture processing part 2 and the recognizing part 3 of a processing means expressing the hand expressed by each of a series of pictures by a vector and processing the vector to recognize hand gesture The part 2 expresses each hand expressed by each of a series of pictures by the rotation vector calculated by using the centroid of the real value to make the hand a sector without the grid quantization of a pixel The part 3 analyses a series of rotation vectors processed by the part 2 to recognize the hand gesture COPYRIGHT: (C)1998,JPO

Sean A Mcgrath

Papers

A hand gesture recognition system and method

Hand gesture recognizing system and its method

Verfahren und System zur Erkennung von Handgebärden