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Self-adaption virtual screen on big screen mobile devices

IP.com Disclosure Number: IPCOM000238159D
Publication Date: 2014-Aug-06
Document File: 5 page(s) / 193K

Publishing Venue

The IP.com Prior Art Database

Abstract

This is a Self-adaption virtual screen on big screen mobile devices. More and more people use big screen mobile devices. But is is hard to operate it with one hand. Such as, the customer want input some message in bigger screen device, with one hand, the finger touching is trouble in the bigger virtual keyboard. Smaller the keyboard in bigger screen device is one solution. But, the misuse affect the input. This solution can help users operate on big screen devices easily. The screen can be move and zoom in/out automatically to help users operate the big screen device easily.

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Self

Self-

As the bigger screen mobile device popular, the web browsing, video playback and game are advantageous. But, with one hand to control those bigger screen device is different. Such as, the customer want input some message in bigger screen device, with one hand, the finger touching is trouble in the bigger virtual keyboard. Smaller the keyboard in bigger screen device is one solution. But, the misuse affect the input. In this disclosure, we point one self-adaption keyboard in bigger screen to handle those issues.

This disclosure includes a G-sensor and a self-adaption virtual screen in bigger screen device. With this disclosure, the bigger screen device will be more easily to control.

1> A G sensor(Gravity-sensor)

G sensor is usually an accelerometer. It measures the forces that act on it during changes in velocity.

2> A self-adaption virtual screen

This screen is self-adaption model. It could be compression and extended.

There are two major part in this disclosure. 1> G sensor system

It is a hardware solidified in the device. It is an accelerometer. it can detect how you're holding your phone. 3 directions are measured(Figure 1) in this system. When device is accelerated in X, Y and Z direction, the corresponding output will increase. For example,

Position Up State Right State Down State Left State Face-Up State Face-Down State X-Y-Z

Y -> +

From this system, we could get the device state. The output(x, y, z) would be an input for next step.

Figure 1:

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