Smart Glasses for Sign Language Recognition via Edge-Cloud Segmentation
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Solution Overview
Problem
Current wearable devices for immersive reality applications fail to effectively provide context and situational awareness for users with disabilities, particularly those who are verbally impaired, due to challenges in complex three-dimensional pattern recognition and high-resolution image processing at conversational speeds.
Innovation Solution
Smart glasses equipped with multiple sensors, microphones, cameras, and processors that collect environmental signals, use AI to identify and communicate context to users, and provide features like speech recognition, real-time captioning, and customizable audio to enhance accessibility for users with disabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex three-dimensional pattern recognition is implemented for sign language detection, then recognition accuracy is improved, but processing speed deteriorates
Solution Approach 1:
The system segments the complex sign language recognition task into multiple stages: initial capture by camera, preliminary processing by edge computing devices, and final recognition by cloud-based AI models. This segmentation allows each component to handle specific aspects of the processing, maintaining high accuracy while distributing computational load to preserve processing speed.
Solution Approach 2:
Edge computing devices serve as intermediaries between the camera capture and cloud-based AI processing. These intermediaries perform initial signal processing and filtering, reducing the complexity of data transmitted to cloud services while preserving the essential information needed for accurate recognition, thus balancing accuracy and speed.
2Measurement precision
If high-resolution image processing is implemented for sign language detection, then detection precision is improved, but computational complexity increases
Solution Approach 1:
The system applies different processing qualities to different regions of the captured video feed. High-resolution processing is applied only to regions containing hand gestures and facial expressions, while other regions receive minimal or no processing. This local quality approach maintains detection precision for critical areas while reducing overall computational complexity.
Solution Approach 2:
The system performs partial processing of the full video stream by focusing computational resources only on frames and regions containing relevant gestures. Rather than processing every pixel at full resolution continuously, the system selectively applies high-resolution processing only when and where needed, reducing computational complexity while maintaining detection precision.
3Speed
If real-time processing is implemented for environmental context, then responsiveness is improved, but energy consumption increases
Solution Approach 1:
The system implements periodic processing where environmental context is updated at specific intervals rather than continuously in real-time. The processing frequency is adjusted based on activity detection - higher frequency when gestures are detected, lower frequency during static periods. This periodic approach maintains responsiveness to important events while significantly reducing average energy consumption.
Solution Approach 2:
The wearable device leverages external cloud-based AI services to perform the computationally intensive real-time processing, allowing the local device to maintain responsiveness with minimal energy expenditure. The local device captures and transmits data, while the cloud services handle the heavy computational load, enabling real-time processing without excessive energy consumption at the wearable device.
Data Source
AI summary
A headset designed for inclusion of users with impairments is provided. The headset includes a frame, two eyepieces mounted on the frame, and at least one microphone and a speaker, mounted on the frame. The headset also includes a camera, a memory configured to store multiple instructions, and a processor configured to execute the instructions, wherein the instructions comprise to provide to a user an environmental context from a signal provided by the microphone and the camera. A method for using the above headset and a system for performing the method are also provided.