Headset Boom IR Sensor Mouth Feature Extraction
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Solution Overview
Problem
Current facial feature extraction systems, particularly for mouth feature extraction, face challenges due to distance limitations and computational expenses when using RGB cameras, which are exacerbated by head movements and lack adequate solutions.
Innovation Solution
A headset assembly equipped with an infrared (IR) sensor and microphone boom that performs mouth feature extraction by receiving input from the IR sensor and executing instructions for functions such as resolving voice input ambiguities and dynamic noise filtering, using IR sensors and lamps to accurately detect mouth shapes and movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an RGB camera is used for mouth feature extraction, then the system can capture facial images, but the extraction accuracy deteriorates due to distance limitations and head movements
Solution Approach 1:
The patent replaces the mechanical/optical RGB camera system with an infrared sensing system that detects thermal radiation from the mouth region. This substitution enables accurate mouth feature extraction regardless of distance or head movement, as infrared sensors detect heat patterns rather than relying on optical imaging geometry.
Solution Approach 2:
The system transitions from detecting visible light parameters (RGB camera) to detecting infrared thermal radiation parameters. This parameter change allows the system to capture mouth features through thermal signatures, which remain detectable even when the user moves their head or is at varying distances from the sensor.
2Measurement precision
If an RGB camera performs mouth feature extraction, then facial images can be captured, but computational expense increases due to processing entire scenes
Solution Approach 1:
The infrared sensing system extracts only the relevant thermal signal from the mouth region, eliminating the need to process entire scene images. By focusing solely on detecting infrared radiation patterns specific to the mouth area, the system achieves accurate feature extraction with minimal computational overhead.
Solution Approach 2:
Replacing the computationally intensive RGB camera processing pipeline with a simpler infrared detection system that directly measures thermal radiation. This substitution eliminates the need for complex computer vision algorithms to process entire images, significantly reducing computational expense while maintaining extraction accuracy.
3Measurement precision
If an RGB camera is used for mouth feature extraction, then images can be captured, but reliability deteriorates due to head movements
Solution Approach 1:
The system replaces visible light imaging with infrared thermal detection, which captures heat radiation patterns that remain detectable during head movements. This substitution makes the system robust to user motion, as the infrared sensor continuously tracks thermal signatures regardless of positional changes.
Solution Approach 2:
The infrared sensing system dynamically adapts to user movement by continuously detecting thermal radiation patterns in real-time. Unlike static RGB imaging that requires precise framing, the infrared system maintains reliable mouth feature detection through dynamic thermal signature tracking, accommodating natural head movements without compromising reliability.
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
This solution enables accurate, real-time detection of mouth features and movements, reducing computational burden and addressing issues of head movement, enhancing voice input accuracy and noise management in applications like language learning and video conferencing.
Implementation Method 1
The microphone boom includes an infrared (IR) sensor on a distal end segment... receive input from the IR sensor... perform mouth feature extraction
Implementation Method 2
the instructions may be executable to actuate the IR lamp to produce IR light that is sensed by the IR sensor for the mouth feature extraction
Data Source
AI summary
In one aspect, a headset assembly may include a headset housing, at least one processor, and a microphone boom coupled to the headset housing. The microphone boom may include an infrared (IR) sensor on a distal end segment, where the IR sensor may be accessible to the at least one processor. The microphone boom may further include at least one microphone accessible to the at least one processor. Additionally, the headset assembly may include storage accessible to the at least one processor. The storage may include instructions executable by the at least one processor to receive input from the IR sensor and, based on the input from the IR sensor, perform mouth feature extraction. The instructions may also be executable to execute at least one function based on the mouth feature extraction.


