Emotion analysis method and electronic apparatus thereof
AssigneesCal-Comp Electronics & Communications Company Limited, Kinpo Electronics, Inc.
InventorsHan-Wen Guo, Jen-Chien Chien
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Abstract
An emotion analysis method and an electronic apparatus thereof are provided. The emotion analysis method is adapted to the electronic apparatus having a database or connected to the database in order to analyze an emotion of an examinee. The emotion analysis method includes: obtaining a heart rate signal of the examinee; defining a plurality of candidate emotions from the database; analyzing the heart rate signal to obtain a plurality of target emotion parameters; and analyzing the target emotion parameters to determine one of the candidate emotions corresponding to the heart rate signal by applying an emotion analysis model.
Claims10
An emotion analysis method, adapted to an electronic apparatus having a database or connecting to the database in order to analyze an emotion of an examinee, the emotion analysis method comprising:
- obtaining a heart rate signal of the examinee;
- defining a plurality of candidate emotions from the database;
- analyzing the heart rate signal to obtain a plurality of target emotion parameters;
- and
- analyzing the target emotion parameters to determine one of the candidate emotions corresponding to the heart rate signal by applying an emotion analysis model.
An electronic apparatus, for analyzing an emotion of an examinee, the electronic apparatus comprising:
- an information extraction device, obtaining an electrocardiogram signal from the examinee;
- and
- a processor, coupled to the information extraction device,
- wherein the processor obtains a heart rate signal of the examinee from the electrocardiogram signal and defines a plurality of candidate emotions from a database,
- wherein the processor analyzes the heart rate signal to obtain a plurality of target emotion parameters, and analyzes the target emotion parameters to determine one of the candidate emotions corresponding to the heart rate signal by applying an emotion analysis model.
Dependencies are inferred from the claim text.