Biometric Emotion Representation via Encrypted Database Objects
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Solution Overview
Problem
Existing technologies fail to accurately convey and represent human biological responses in electronic data events, leading to ambiguity and potential misinterpretation, as they rely on limited emoticons or font changes that may not accurately reflect the sender's or recipient's emotional state.
Innovation Solution
Devices and systems that acquire and process human biological change data, ranking emotional highs and lows based on facial and body postures, biophysical reactions, and correlate this data with ranking statistics to create objects for storage and analysis in databases, utilizing cryptographic security and ownership records, and employing neural networks for prediction and data packaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If emoticons are used to represent biological responses, then the system provides a simple way to convey emotion, but the representation becomes trivialized and may not accurately reflect the true emotional state
Solution Approach 1:
The patent replaces manual selection of emoticons with an automated biometric analysis system that captures physiological data (facial expressions, voice tone, body language) and automatically generates accurate emotional representations, eliminating the gap between user intent and emotional conveyance
Solution Approach 2:
The system creates accurate copies of the sender's true emotional state by capturing and analyzing biometric data, then transmitting these captured emotional signatures to the recipient, ensuring the emotional message faithfully represents the original state
2Loss of information
If font changes are used to emphasize text, then the system can highlight emotional intensity, but the biological response remains ambiguous and open to multiple interpretations
Solution Approach 1:
The patent replaces manual text formatting with automated biometric analysis that objectively measures physiological indicators of emotion, transforming subjective emotional states into quantifiable data that accurately represents the sender's true emotional condition
Solution Approach 2:
The system changes the parameters of emotional representation from subjective text formatting to objective biometric measurements, using physiological data (facial muscle movements, voice frequency, heart rate) as definitive indicators of emotional state
3Extent of automation
If biometric readings are automatically applied to modify text appearance, then the system reduces user effort, but the font style may convey incompatible biological responses and create confusion
Solution Approach 1:
The patent applies different analytical methods to different biometric data sources (facial expressions analyzed separately from voice tone and body language), allowing each modality to contribute its specific emotional information without creating conflicting interpretations
Solution Approach 2:
The system combines multiple biometric data streams (facial expressions, voice characteristics, body posture) into a composite emotional profile, where the integration of diverse physiological indicators creates a more accurate and reliable representation of the sender's true emotional state
4Adaptability or versatility
If predefined emoticons are used, then the system simplifies emotional expression, but the emoticons may not express the true biological response of the sender
Solution Approach 1:
The patent transitions from static predefined emoticons to dynamic biometrically-generated emotional representations that continuously adapt to the sender's current physiological state, allowing the emotional expression to evolve in real-time with the sender's true feelings
Solution Approach 2:
The system enables the sender's own biometric data to automatically generate the appropriate emotional representation without requiring manual selection, allowing the sender's true emotional state to self-express through objective physiological measurement
Data Source
AI summary
Data obtained by computer processing device(s) includes human biological change data from event data stream(s) and dynamic marketplaces allowing for ranking change(s). The data can correlate biological change data with ranking statistics from an event such that the correlation identifies and measures a magnitude of change of human biological responses from data acquired from event data stream(s). The correlation of human biological change data and/or dynamic changing marketplace data with ranking statistics creates object(s) for storage and analysis within database(s), wherein the objects possess time synchronized responses before, during or after events. These objects can be packaged with a Packager such that the Packager extracts data from data set(s) wherein data is contained in data sets as data slices and/or other data subsets optionally contained in these objects allowing selectivity of data sets according to desired types and intensities of change(s) of a magnitude determined and measured by the devices.