Mediated Interface Text Input Correction via Dictionary Filtering

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Solution Overview

Problem

Mediated interface devices often incorrectly recognize intended words due to sensor errors, leading to suboptimal interaction between humans and robots, as they fail to accurately transmit intended text inputs.

Innovation Solution

A typewriter system that includes a mediated interface device, a text recognition order set, and a typewriter that corrects erroneous text inputs using a dictionary and part index maps to accurately recognize user intentions, enabling smooth communication.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If text recognition is performed using a mediated interface device, then text input capability is enabled, but recognition accuracy deteriorates due to sensor errors

Engineering Contradiction:
Improvetext input capabilityVSAvoidrecognition accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent introduces a dictionary as an intermediary component between the mediated interface device and the text recognition system. The dictionary stores pre-defined word information and is used to verify and correct recognized text by comparing against known valid words, thereby improving recognition accuracy without eliminating the text input capability provided by the mediated interface device

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements a feedback mechanism where the recognized text is fed back to the dictionary for verification. The dictionary returns confirmation or correction suggestions based on whether the recognized text matches stored word information, allowing the system to iteratively improve recognition accuracy by using the feedback loop to correct errors

Inventive Principle:
Principle #23Feedback

2Loss of information

If continuous text expression is transmitted through the mediated interface, then more semantic information is transmitted, but word recognition accuracy deteriorates due to sensor errors

Engineering Contradiction:
Improvesemantic information transmissionVSAvoidword recognition accuracy
Core Design Contradiction:
Loss of informationVSMeasurement precision

Solution Approach 1:

The dictionary serves as an intermediary that receives continuous text input from the mediated interface device and filters it through pre-defined word information. This allows semantic information to be transmitted while the dictionary mediates by correcting recognition errors before the text is finalized

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary action by pre-storing valid word information in the dictionary before text recognition occurs. This pre-prepared reference data enables the system to quickly verify and correct recognized text, maintaining high semantic information transmission while improving word recognition accuracy through advance preparation

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS8775159B2Typewriter system and text input method using mediated interface device
Publication Date: 2014.07.08 ELECTRONICS & TELECOMM RES INST
  • US8775159B2 patent drawing
  • US8775159B2 patent drawing
  • US8775159B2 patent drawing

AI summary

Disclosed is a typewriter system and a text input method capable of accurately recognizing words by correcting words input using a mediated interface device based on a dictionary. A plurality of texts are combined by referencing a text recognition order set in which recognition results of texts are arranged according to a recognition order from texts input through the mediated interface device and the combined text is filtered using part index maps formed of part words that are an accumulated set of texts forming complete words. The part words passing through the part index maps is again filtered using a dictionary including context information formed of a set of words in a specific category, thereby making it possible to accurately recognize the words. The part words that cannot form words in a dictionary are removed in advance using the part index maps, thereby improving the recognition efficiency.