Patent Document ID: 8209182
Application ID: 11565194

Base Claim:
1. An emotion recognition system for automatically assessing human emotional behavior from physical phenomena indicative of the human emotional behavior, the system comprising: one or more a sensors configured to sense, the physical phenomena; and a computer processing system configured to: receive a time series of signals from the one or more sensors; identify features, in the time series of signals that are indicative of the human emotional behavior; and output a gradient, multiple-perspective assessment of the human, emotional behavior based on the identified features that includes a gradient representation of each of multiple emotional states indicated by the human emotional behavior.

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Claim 10:
10. The system of claim 1 , wherein the processing system comprises at least one of: an automatic speech recognizer configured to derive from the received signals information relating to one or more of: phonemes; syllables; words; and phrases; a speech rate estimator and a boundary detector configured to derive information relating to linguistic expressive markers; a lexical analyzer configured to calculate emotional salience of one or more word Sequences; a parser configured, to provide emotionally salient parse structures; a speech act detector configured: to provide communication act information; a word class detector configured to detect word class; an audio classifier configured to detect nonverbal cues of emotion; an audio classifier configured to detect verbal disfluency as cues of emotion; a facial expression analyzer configured to analyze facial expression of the speaker; and a gesture analyzer configured to analyze gestures of the speaker.