Qeexo, Co.

Robert Bo Xiao

Julia Schwarz

Christopher Harrison

Chris Harrison

A method and apparatus for determining pitch and yaw of an elongated interface object as it interacts with a touchscreen surface. A touch image is received, and this touch image has at least a first area that corresponds to an area of the touchscreen that has an elongated interface object positioned at least proximate to it. The elongated interface object has a pitch and a yaw with respect to the touchscreen surface. A first transformation is performed to obtain a first transformation image of the touch image, and a second transformation is performed to obtain a second transformation image of the touch image. The first transformation differs from the second transformation. The yaw is determined for the elongated interface object based on both the first and second transformation images. The pitch is determined based on at least one of the first and second transformation images.

Determining pitch and yaw for touchscreen interactions

Touch sensitive devices, methods and computer readable recording mediums are provided that allow for improved classification of objects against a touch sensitive surface of a touch sensitive device based upon analysis of subdivisions of data representing contact with the touch sensitive surface during a period of time.

Method and apparatus for classifying contacts with a touch sensitive device

An electronic device includes a touch-sensitive surface, for example a touch pad or touch screen. The user interacts with the touch-sensitive surface, producing touch interactions. The resulting actions taken depend at least in part on the touch type. For example, the same touch interactions performed by three different touch types of a finger pad, a finger nail and a knuckle, may result in the execution of different actions.

Using finger touch types to interact with electronic devices

Methods and apparatuses are provided for determining a pitch and yaw of an elongated interface object relative to a proximity sensitive surface. In one aspect, a proximity image is received having proximity image data from which it can be determined which areas of the proximity sensitive surface sensed the elongated interface object during a period of time. A proximity blob is identified in the proximity image and the proximity image is transformed using a plurality of different transformations to obtain a plurality of differently transformed proximity images. A plurality of features is determined for the identified blob in the transformed proximity images and the pitch of the elongated interface object relative to the proximity sensitive surface is determined based upon the determined features and a multi-dimensional heuristic regression model of the proximity sensitive surface; and a yaw is determined based upon the pitch.

Determining pitch for proximity sensitive interactions

A method activates different interactive functions based on a classification of vibro-acoustic signals resulting from touch events with finger parts of a user. A primary function is trigger when an interactive element on a touch screen is touched with a finger tip of the user. An auxiliary function is launched when the interactive element is touched with a knuckle or fingernail of the user. The touch events result in generating the vibro-acoustic signals. The vibro-acoustic signals are classified and used to distinguish what finger part was used based on the classification of the vibro-acoustic signals.

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Saskatoon, Canada

Robert Bo Xiao