Head-Mountable Dictation Structure for Silent Mouth-Movement Text Input
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Solution Overview
Problem
Existing head-mountable devices lack a convenient and discreet method for text input, as audible dictation is inconvenient in public or noisy environments, and hand gestures are cumbersome and require external devices.
Innovation Solution
A head-mountable device equipped with a vision sensor oriented to detect mouth movement, combined with additional sensors and a processor to convert visual data into text input, allowing silent dictation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If audible dictation is used for text input, then text input capability is provided, but privacy and discretion are compromised in public environments
Solution Approach 1:
The patent replaces the acoustic field-based dictation system with an optical field-based vision sensor system. The vision sensor captures visual data of mouth movements, and machine learning models convert this visual data into text input, eliminating the need for audible commands and thus preserving user privacy in public settings.
Solution Approach 2:
The patent changes the detection parameter from acoustic signals (audible voice) to optical signals (mouth movement visualization). By detecting and analyzing visual parameters of mouth movements through the vision sensor, the system achieves text input functionality without requiring audible output, thereby resolving the privacy concern.
2Ease of operation
If audible dictation is used for text input, then text input capability is provided, but accuracy is reduced in noisy environments
Solution Approach 1:
The patent substitutes the acoustic-based voice recognition system with an optical-based vision sensing system. The vision sensor detects mouth movements visually, and machine learning algorithms process this visual data to generate accurate text input, eliminating the interference from background noise that plagues acoustic systems.
Solution Approach 2:
The patent introduces machine learning models as an intermediary between the vision sensor data and the final text output. These models analyze visual patterns of mouth movements and translate them into accurate text, providing a robust solution that maintains high accuracy even in challenging environmental conditions.
3Ease of operation
If hand gestures are used for text input, then text input capability is provided, but device complexity increases due to external device requirements
Solution Approach 1:
The patent integrates the vision sensor and machine learning processing capabilities directly into the head-mountable device, making it a self-contained system. The vision sensor serves multiple functions including mouth movement detection, eye tracking, and environmental awareness, eliminating the need for external devices and reducing overall system complexity.
Solution Approach 2:
The patent combines the vision sensor, processors, and machine learning models into a single integrated head-mountable device. This merging of components allows the device to perform text input functionality independently without requiring external cameras or computing devices, thereby simplifying the system architecture.
4Adaptability or versatility
If vision sensor is added to detect mouth movement, then silent dictation capability is provided, but device complexity increases
Solution Approach 1:
The patent leverages the vision sensor's ability to perform multiple functions including mouth movement detection for silent dictation, eye tracking for navigation, and environmental monitoring. This multi-functionality justifies the added complexity by providing versatile capabilities that enhance overall device adaptability.
Solution Approach 2:
The patent implements machine learning models that automatically process vision sensor data and adapt to individual user patterns over time. The system self-trains and improves its silent dictation accuracy without requiring manual configuration, reducing the operational complexity despite the added hardware capabilities.
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 text input without audible commands, suitable for public or noisy settings, improving user convenience and accuracy through machine-learning models and contextual data.
Implementation Method 1
a vision sensor carried by the display frame and oriented externally in a downward direction that, when donned on a head of a user, is configured to detect mouth movement
Implementation Method 2
an additional sensor configured to detect at least one of a facial vibration or a facial deformation
Implementation Method 3
an additional sensor configured to detect at least one of a facial vibration or a facial deformation
Data Source
AI summary
A head-mountable device includes a display, a display frame disposed around the display, a vision sensor carried by the display frame and oriented externally in a downward direction that, when donned on a head of a user, is configured to detect mouth movement. The head-mountable devices further includes a processor and a memory device storing instructions that, when executed by the processor, cause the processor to convert visual data of the mouth movement to a text input.