Human Emotion Assessment Based on Physiological Data Using Semiotic Analysis

摘要

This invention disclosure describes a unique method in which a physiological disorder can be analyzed in order to determine the emotional disposition of a user. The foundation for loading physiological data and generating an emotional analysis is derived from a semiotic analysis framework in which the signs, referent, and signifier are all identified and utilized in order to complete this conversion. This method uses a time based slope-clustering algorithm in order to provide a real time human emotional assessment report based on cluster frequency.

主权项

1. A method, comprising:
Performing a semiotic analysis on physiological data in order to produce an emotional output that signifies the emotional sensations of the human body; Identifying and initializing sign parameter values that embody and define the symptoms that a physiological disorder displays; Creating a referent formula that serves as an algorithm by which the signifier value can ultimately be derived from the sign parameters values; Identifying a signifier output by which the sign parameter value can serve as data that will ultimately lead to a conclusion about the signifier framework.