Remote Object Interaction via Pretrained Neural Network
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Solution Overview
Problem
Existing user interfaces on electronic devices can be cumbersome or impossible to interact with in certain environments, such as sterile surgical settings or maintenance scenarios, due to physical constraints and the need for sterile equipment or extra hands.
Innovation Solution
An electronic device with sensors and a processor that communicates with a computer to identify objects on a physical mat using a pretrained neural network, allowing for hands-free interaction by detecting objects and performing analysis without physical contact, using predefined spatial regions and markers for accurate image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If physical interaction with electronic device interfaces is used, then ease of operation is improved, but adaptability to sterile or constrained environments deteriorates
Solution Approach 1:
The patent replaces mechanical/physical interaction with optical interaction. Instead of requiring physical contact with device interfaces, the system uses cameras to capture images and process data optically. This allows users to interact with electronic devices through image-based commands while maintaining sterile barriers, directly resolving the contradiction between ease of operation and adaptability to sterile environments.
2Adaptability or versatility
If remote interaction without physical contact is used, then adaptability to sterile environments is improved, but ease of operation deteriorates
Solution Approach 1:
The patent introduces an intermediary system consisting of camera-based image capture and processing algorithms. This intermediary layer translates simple physical actions (placing objects in designated areas, making gestures) into digital commands, maintaining ease of operation while enabling remote interaction in sterile environments. The intermediary processing system bridges the gap between simple user actions and complex device control.
3Ease of operation
If voice recognition is used for hands-free interaction, then ease of operation in constrained environments is improved, but measurement precision and reliability deteriorate due to environmental noise
Solution Approach 1:
The patent substitutes voice-based acoustic interaction with visual-based optical interaction using cameras and image processing. This replacement eliminates susceptibility to acoustic environmental noise while maintaining hands-free operation capability. The optical system provides more reliable and precise recognition in diverse environments compared to voice recognition.
Data Source
AI summary
When an object is detected by an electronic device in a predefined spatial region of a physical mat, the electronic device may perform one or more measurements of the object using the one or more sensors. Note that the physical mat may be on a surface that is separate from the electronic device. Then, the electronic device may identify the object based at least in part on the one or more measurements, where the identification involves a pretrained neural network or a pretrained machine-learning model that uses the one or more measurements as an input and that outputs information specifying the identified object. Moreover, the electronic device may provide classification information associated with the identified object. Next, the electronic device may perform analysis associated with the identified object. For example, the electronic device may increment a count of a number of a type of object that includes the identified object.