Optical Trackpad Character Input for Mobile Devices
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Solution Overview
Problem
Mobile devices with small form-factors face challenges in implementing efficient character input methods for languages with a large number of characters, such as Chinese and Japanese, as dedicating physical keys becomes impractical, and existing methods like the CKC Chinese Input System are not intuitive.
Innovation Solution
An optical trackpad module with a light source and sensor array allows users to input characters by detecting translational and rotational movements, mimicking character strokes, and suggesting characters based on input patterns, making the process more intuitive and easier to learn.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical keys are dedicated to each character, then character input precision is improved, but device complexity and form-factor size increase
Solution Approach 1:
The patent segments the character input process into multiple stages: first inputting a rough character pattern, then refining it through additional inputs. This allows accurate character recognition without requiring dedicated physical keys for each character, thus maintaining input precision while reducing device complexity.
Solution Approach 2:
The patent introduces an intermediary processing system that interprets user inputs and matches them against a database of characters. This intermediary layer translates simple input gestures into accurate character identification, eliminating the need for complex physical key layouts while maintaining high input precision.
2Productivity
If physical keys are dedicated to each character, then character input efficiency is improved, but device area increases
Solution Approach 1:
The patent transitions from a two-dimensional keyboard layout to a multi-dimensional input approach, where characters are input through sequential gestures and patterns rather than direct key presses. This dimensional shift allows efficient character input on a compact area by utilizing temporal and pattern-based information rather than spatial arrangement.
3Productivity
If existing input methods like CKC are used, then character input is enabled, but ease of operation deteriorates due to non-intuitive digit-stroke association
Solution Approach 1:
The patent implements a copying mechanism where the input system replicates the actual stroke patterns of character writing. Instead of requiring users to learn abstract digit associations, the system captures and processes gestures that mirror traditional character writing movements, making the input method intuitive and easy to operate while maintaining character input capability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient and intuitive character input on mobile devices by allowing users to draw character strokes similar to writing, reducing the complexity of associating digits with strokes and supporting multiple languages with fewer physical keys, thus improving input efficiency and usability.
Implementation Method 1
An infrared light source located below the trackpad can emit infrared light towards the trackpad, and when a user places a finger on the trackpad, a sensor can detect the finger. The sensor can detect the user's finger by receiving infrared light that can be reflected off the user's finger.
Data Source
AI summary
A system, method and apparatus are described herein for input of characters into a mobile device. In one implementation, a user can input representations of character strokes of logographic characters, such as Chinese characters, using a trackpad module. The system can then associate the character strokes with a character the user desires to input based on the received inputs and a series of well-known rules for writing the logographic characters. One implementation of the trackpad includes an optical trackpad comprising a plurality of sub-sections that can be used to determine the direction of movement of an object over the optical trackpad, for example, a finger over the optical trackpad.