Apportionment of forces for multi-touch input devices of electronic devices

    公开(公告)号:AU2014391723B2

    公开(公告)日:2018-04-05

    申请号:AU2014391723

    申请日:2014-04-21

    Applicant: APPLE INC

    Abstract: Systems and methods are disclosed herein for determining the amounts of force applied by at least two fingers of a user to a touch input device having a touch input surface. In one example, a system may include a plurality of force sensors distributed about the touch input surface; a plurality of touch sensors distributed about the touch input surface; and a module for apportioning a first amount of force as measured by the plurality of force sensors to one of the at least two fingers, and for apportioning a second amount of force as measured by the plurality of force sensors to another of the at least two fingers. The system may also include a persistent data structure including force calibration data with force deflection measurement values as measured by each of the plurality of force sensors in response to a standardized force applied to various known locations on the touch input surface. The system may also include one or more matched filter modules.

    METHOD AND APPARATUS FOR INTEGRATING MANUAL INPUT

    公开(公告)号:HK1031021A1

    公开(公告)日:2001-05-25

    申请号:HK01100721

    申请日:2001-02-01

    Applicant: APPLE INC

    Abstract: 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.

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