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Holding pattern based touch screen behavior change Disclosure Number: IPCOM000240809D
Publication Date: 2015-Mar-04
Document File: 2 page(s) / 298K

Publishing Venue

The Prior Art Database


A program is disclosed by which different sensors installed in a mobile device will track the holding pattern of mobile device.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 54% of the total text.

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Holding pattern based touch screen behavior change

Some individuals are not comfortable with use of touch screen devices. Precise selection of button/function may be difficult for some individuals using touch devices, for example, as a result of difficulties deriving from age, health condition, etc. This may lead to an inaccurate/accidental selection of keys or function. Thus, there has to be a mechanism which enables effective use of the touch screen device.

According to the program's method:

1. Different sensors installed in mobile device will track the holding pattern of the user holding the mobile device. .

2. If the mobile phone detects there is a change in holding pattern (like vibrating) then the screen behavior will be changed automatically so that user can performing the activity. The following are examples of possible changes: a. Based on eye direction, and finger position, predicted selection zone will be identified and will be zoomed in. This is to create larger area, so that selection can be perfect.

b. The predicted selection zone will also be contextually validated to ensure predicted selection zone is perfect.

c. Based on selection of any button or function, mobile device will display the selected button or function along with adjacent button or function for validation.

d. Validation based on facial pattern or finger selection or combination of both.

3 Sensory program will track "holding pattern" of mobile device to detect a range of shaky motion, and then zooming that range
4 Program will sense the motion to enable the zoom.

5 Program will also dismiss the screen and to bump it left or right if user accidentally missed the right location.

The following diagram (Figure 1) depicts how a user's predicted selection zone is identified based on the user's finger movement and eye focus area. In this case, the p...