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A method to distinguish touchpad users based on their finger gestures

IP.com Disclosure Number: IPCOM000241995D
Publication Date: 2015-Jun-12
Document File: 2 page(s) / 68K

Publishing Venue

The IP.com Prior Art Database

Abstract

This disclosure proposes a methodology and statistical model to distinguish touchpad users from men to women and adults to children based on finger contact area and finger movement range and speed on touch screens.

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Page 01 of 2

A method to distinguish touchpad users based on their finger gestures


Background
When touchpad users are web surfing, if the websites have a way to know whether a user is a man, woman, or child, the web pages can be precisely tailored to target to specific audiences. For example, if the touchpad device detects the user is a child, the adult only contents or pictures will be blocked. Or if the user is detected to be a women, advertisements can be targeted to women.

Core idea

As shown in Figure 1, when using touchpad, the contact areas of fingers that touch on the touch screen are usually different from men to women and adults to children.

Figure 1. contact area of fingers on touchpad

Besides, as shown in Figure 2, when people perform some finger gestures, such as zoom in or zoom out gestures, the fingers' move range is different from men to women, adults to children.

Figure 2. Fingers' movement range on touchpad

This method detects the finger contact area and movement range and speed on the touch screen and uses this information to distinguish touchpad users from men to women, adults to children.

Implementation

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This method sets up statistic data and models on finger area and movement range on touch screen for different types of people (men, women, and children). For example, suppose x represents the finger contact area or the finger movement range on the touch screen and x has a norm distribution. Figure 3 shows three different norm distributions of...