Filtering document search results using contextual metadata

This system helps filter document search results by observing a user's facial reactions. As someone reads a document, the system captures their facial movements and images of their face. It then interprets these cues to detect an emotional response, which generates a unique tag and keyword. These are then used to refine and filter search results for that specific document. The core method relies on analyzing facial movements and images to understand the user's emotional state.

Why it matters: Filed before ubiquitous high-resolution front cameras and advanced AI for real-time facial emotion detection. These technologies are now standard, making the core sensing and analysis much more accessible.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, facial recognition, emotion detection

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