Abstract:
The use of multiple stimulation signals having one or more frequencies and one or more 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 one or more 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 one or more selected frequencies can be used to simultaneously stimulate the rows of the touch sensor panel, and the one or more mixers in each sense channel can be configured to demodulate the signal received from the column connected to each sense channel using the one or more selected frequencies. After all steps have been completed, the demodulated signals from the one or more mixers can be used in calculations to determine an image of touch for the touch sensor panel at each of the one or more frequencies.
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:
Embodiments are related to user input devices that accept complex user input including a combination of touch and push (or pick) input. Embodiments of the invention provide for selective ignoring or rejection of input received from such devices in order to avoid interpreting unintentional user actions as commands. Furthermore, some input signals can be modified. The selective rejection or modification can be performed by the user interface device itself or by a computing device that includes or is attached to the user interface device. The selective rejection or modification may be performed by a module that processes input signals, performs the necessary rejections and modifications and sends revised input signals to higher level modules.
Abstract:
Techniques for identifying and discriminating between different types of contacts to a multi-touch touch-screen device are described. Illustrative contact types include fingertips, thumbs, palms and cheeks. By way of example, thumb contacts may be distinguished from fingertip contacts using a patch eccentricity parameter. In addition, by non-linearly deemphasizing pixels in a touch-surface image, a reliable means of distinguishing between large objects (e.g., palms) from smaller objects (e.g., fingertips, thumbs and a stylus) is described.
Abstract:
Pre-processing can be applied to raw signal measurements resulting from stimulation from an input device, such as an active stylus, having a non-linear signal profile. The pre-processing can include a non-linear transformation, which can linearize the signal profile and thereby reduce wobble resulting from location detection algorithms. The transformation can be selected based on the signal profile for the stylus and the ideal profile for the location detection algorithms. In some examples, the transformation can be applied to linearize the entire signal profile, but in other examples, the non-linear transformation can be applied only to specific regions of the signal profile. The pre-processing can also discard raw signal measurements that are at least a threshold distance from the peak signal measurement or raw signal measurements below a threshold signal level. Pre-processing raw signal measurements before detecting location can reduce wobble across a range of stimulation frequencies and stylus orientations.
Abstract:
The use of multiple stimulation signals having one or more frequencies and one or more 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 one or more 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 one or more selected frequencies can be used to simultaneously stimulate the rows of the touch sensor panel, and the one or more mixers in each sense channel can be configured to demodulate the signal received from the column connected to each sense channel using the one or more selected frequencies. After all steps have been completed, the demodulated signals from the one or more mixers can be used in calculations to determine an image of touch for the touch sensor panel at each of the one or more frequencies.
Abstract:
The rejection of undesired touch events on a touch surface is disclosed. A weighted meta-centroid of all touch events can be computed. In some examples, touches can be weighted inversely to their size and distance to the nearest neighboring touch. In some examples, touches can be weighted based on the size of their minor radii. A meta-ellipse can be fit to the weighted touch events. In some examples, the major axis of the meta-ellipse can be used to determine the orientation of a user's hand to reject undesired touches. In other examples, touches within the meta-ellipse can be rejected.
Abstract:
A touch sensitive device that detects the occurrence of an electrostatic discharge event on the device by analyzing an acquired touch image for characteristics associated with the occurrence of an ESD event is provided. An acquired touch image is analyzed for characteristics that differentiate it from a touch image generated by a user input and are correlated with an expected touch image generated by an ESD event.
Abstract:
The suppression of errant motion regarding a mouse is disclosed. Mouse and touch information can be integrated to determine whether a gesture made on a surface of the mouse is errant, such as when a mouse is being moved and the fingers holding the mouse inadvertently move on the mouse surface. A gesture motion that is small relative to mouse motion can be considered errant and therefore at least partially suppressed, while a gesture motion that is large relative to mouse motion can be considered an intended gesture and therefore processed. Similarly, mouse and touch information can be integrated to determine whether a mouse motion is errant, such as when a robust gesture being made on the mouse surface inadvertently moves the mouse. A mouse motion that is small relative to gesture motion can be considered errant and therefore at least partially suppressed, while a mouse motion that is large relative to gesture motion can be considered an intended motion and therefore processed.
Abstract:
The selective rejection of touch contacts in an edge region of a touch sensor panel is disclosed. In addition, by providing certain exceptions to the rejection of edge contacts, the functionality of the touch sensor panel can be maximized. Contacts in edge bands around the perimeter of a touch sensor panel can be ignored. However, if a contact in the edge band moves beyond a threshold distance or speed, it can be recognized as part of a gesture. To accommodate different finger sizes, the size of the edge band can be modified based on the identification of the finger or thumb. Furthermore, if contacts in the center region of a touch sensor panel track the movement of contacts in the edge band, the contacts in the edge band can be recognized as part of a gesture.