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Automatic keyboard typo correction and speed acceleration based on Biometrics Disclosure Number: IPCOM000015986D
Original Publication Date: 2002-Aug-24
Included in the Prior Art Database: 2003-Jun-21
Document File: 3 page(s) / 347K

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Automatic keyboard typo correction and speed acceleration based on Biometrics


This disclosure describes the design and implementation of an enhanced keyboard input device, which is visually compatible with traditional QWERTY keyboard, and related supporting software with accelerate text entry speed and automatically typing error correction. Compared with the traditional implemention, our invention has the following two novelity: First, A novel keyboard which can automatically correct error occurred during touch typing by using the implicit finger information during the keying . Second, This keyboard can have less constraints and give more freedom to the users?typing experience, hence improving both the users' typing speed and typing accuracy.

Description :

Text entry is one of the most frequent human-computer interaction tasks. Since the QWERTY typewriter was invented by Christopher Sholes, Carlos Glidden and Samuel Soule in 1867, it has been widely adopted, and now becomes the primary text input device for computer users. The relative rapid speed of typewriting is largely a result of the method of touch typing without looking at the keyboard, discovered independently by L.V. Longley and F. E. McFurrin in the 1880s. Many methods have been invented to improve the keying experience for typical keyboard users, e.g., spell checking, automatic error correction based on lexicon and grammar, or even optimizing the physical shape of the keyboard. However, these methods have their own limitations, for example, the assumption of typing contents, or the need for special training to get significant improvements. What's more, the physical mechanism of human motor system makes many constrains to the upper limit of typing speed and accuracy. It's no doubt that any improvement in the area of keyboard input will have significant impact to the area of Human-Computer Interaction and daily life.

Text entry is one of the most frequent human computer interaction tasks. Although great strides have been made towards alternative methods such as speech and handwriting recognition, typewriting remains and will likely be the main text entry method in the future. A recent study [1] showed that the effective speed of text entry by today·s continuous speech recognition is still far lower than that of the keyboard (13.6 vs. 32.5 cwpm for transcription and 7.8 vs. 19.0 cwpm for composition). Furthermore, the study also revealed many human-factors issues that were not well realized before. For example, many users found it ·harder to talk and think than type and think· and considered the keyboard to be more ·natural· than speech for text entry.

Although the keyboard input method, especially touch typing, has significant advantages when coompared with other methods, it exists some basic limitations inherent from human motor system. For example, there is an up bound as to the speed of human motor system, and at the same time, any tasks performed by human ca...