Emotion Recognition System
First Claim
1. An emotion recognition system for assessing human emotional behavior from communication by a speaker, the system comprising:
- a processing system configured to receive signals representative of the communication, and to derive signal features from the received signals, the processing system further configured to implement at least one intermediate mapping between the signal features and one or more elements of an emotional ontology in order to perform an emotion recognition decision, the emotional ontology providing a gradient representation of the human emotional behavior.
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Abstract
An emotion recognition system for assessing human emotional behavior from communication by a speaker includes a processing system configured to receive signals representative of the verbal and/or non-verbal communication. The processing system derives signal features from the received signals. The processing system is further configured to implement at least one intermediate mapping between the signal features and one or more elements of an emotional ontology in order to perform an emotion recognition decision. The emotional ontology provides a gradient representation of the human emotional behavior.
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Citations
19 Claims
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1. An emotion recognition system for assessing human emotional behavior from communication by a speaker, the system comprising:
a processing system configured to receive signals representative of the communication, and to derive signal features from the received signals, the processing system further configured to implement at least one intermediate mapping between the signal features and one or more elements of an emotional ontology in order to perform an emotion recognition decision, the emotional ontology providing a gradient representation of the human emotional behavior. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A method of assessing human emotional behavior from communication by a speaker, the method comprising:
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receiving signals representative of the communication;
deriving signal features from the received signals; and
implementing at least one intermediate mapping between the signal features and one or more elements of an emotional ontology to perform an emotion recognition decision, the emotion ontology providing a gradient representation of the human emotional behavior. - View Dependent Claims (19)
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Specification