Christensen et al., 2019 - Google Patents
Novel Model Architecture for EEG Emotion ClassificationChristensen et al., 2019
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- 6067477757441373438
- Author
- Christensen L
- Abdullah M
- Publication year
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Enhancing the communication between the human and the machine is the core purpose of the HCI field (Human Machine Interaction), Identifying human emotion is an important aspect of enhancing this communication. This work will identify 10 distinctive emotions, the …
- 238000000034 method 0 abstract description 19
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- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
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- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B5/16—Devices for psychotechnics; Testing reaction times; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
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- A—HUMAN NECESSITIES
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- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0476—Electroencephalography
- A61B5/0484—Electroencephalography using evoked response
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- A—HUMAN NECESSITIES
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- A—HUMAN NECESSITIES
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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