Contextual Widget Display via Image Sensor Semantic Processing
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Solution Overview
Problem
Current devices fail to provide a contextualized user experience by displaying content independently of the physical environment, leading to a degraded user interaction.
Innovation Solution
An electronic device obtains semantic values from physical objects using image data and input modalities to select and display widgets that are contextually relevant to the user's environment, utilizing object-proximity criteria to lock widgets to specific positions relative to the user or environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If content is displayed independently of physical environment, then device complexity is reduced, but user experience quality deteriorates
Solution Approach 1:
The patent introduces an image sensor as an intermediary component that captures physical environment data and converts it into semantic information. This mediator bridges the gap between the physical world and the display system, enabling contextualized content presentation without requiring complex direct integration between the display and physical environment
Solution Approach 2:
The patent replaces traditional mechanical or manual context detection methods with automated image sensing and semantic processing. The image sensor and associated processing algorithms substitute for complex mechanical sensors or manual input mechanisms, achieving contextualization through optical field capture and computational analysis
2Adaptability or versatility
If semantic processing and image sensing are added, then contextualization capability is improved, but device complexity increases
Solution Approach 1:
The patent segments the contextualization system into distinct functional modules: image sensor for data capture, semantic processing unit for interpretation, and display controller for presentation. This segmentation allows each component to perform its specific function independently, reducing overall system complexity while maintaining comprehensive contextualization capability
Solution Approach 2:
The patent implements a universal semantic processing framework that can handle multiple types of physical objects and environments through a single integrated system. The image sensor and processing algorithms are designed to recognize and respond to various contexts (kitchen, office, outdoor settings) using the same core infrastructure, avoiding the need for separate specialized systems for each context
Data Source
AI summary
A drive unit for driving a load, like a centrifugal compressor, a pump, or the like, comprising a driving shaft, is connected to the load to be driven. The drive unit comprises a plurality of electric motors connected to the driving shaft and a plurality of variable frequency drives electrically connected to the power grid (G) used to feed each electric motor.