User identification with biokinematic input

Abstract

The invention relates to a user identification with biokinematic input. Systems and methods for user identification based on biokinematic input are disclosed herein. The system may include a multi-touch sensitive display including a sensor configured to receive biokinematic input including data representing detected positions of digit touches made by digits of a user, in each of a series of successive time intervals during a defined identification gesture. The system may further include a user identification module executed by a processor of the computing device. The user identification module may be configured to receive the biokinematic input from the sensor, and to compare relative positions of the digit touches and / or relative rates of change in said positions of the digit touches to a stored user template of verified biokinematic data for the user. If a match is determined, an indication that the user has been successfully identified may be displayed.

Description

technical field [0001] The present application relates to user identification using bio-kinesthetic input. Background technique [0002] Biometric technologies have been developed to identify humans based on unique physical characteristics such as fingerprints and palm prints. For example, palm scanners have been developed for authorizing or denying access to buildings, and fingerprint scanners have been developed for accessing websites and files, or logging into operating systems. These systems use specialized scanners with high resolution imaging capabilities sufficient to obtain detailed scans of skin patterns on fingers or palms, thereby allowing identification of characteristic physical features in these skin patterns that distinguish users from one another. [0003] There are several obstacles to using such biometric technology on tablet computing devices and touchscreen mobile phones. Although dedicated fingerprint and palm scanners have been used in the past, for e...

AI Technical Summary

Problems solved by technology

Although dedicated fingerprint and palm scanners have been used in the past, for example, on access panels and laptop enclosures that have sufficient space to mount the scanners, most tablet computing devices and touchscreen mobile phones Is compact and doesn't have enough room for a dedicated fingerprint scanner or palm scanner

In addition, the touchscreen technology used in conventional tablet computing devices and mobile phones does not have high enough resolution to obtain usable images that can be used to distinguish the user's fingerprints or skin patterns on the palm of the hand

As a result, biometrics associated with fingerprints and palm scans are not widely used in tablet computing devices and touchscreen mobile phones

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