Bamonte et al., 2023 - Google Patents
Emotion recognition based on galvanic skin response and photoplethysmography signals using artificial intelligence algorithmsBamonte et al., 2023
- Document ID
- 14624237736129559932
- Author
- Bamonte M
- Risk M
- Herrero V
- Publication year
- Publication venue
- Congreso Argentino de Bioingeniería
External Links
Snippet
Emotion recognition using a limited number of wearable non-invasive sensors and with low computational cost presents a significant challenge in contemporary research. In this study, we aim to investigate the feasibility of emotion recognition based solely on Galvanic Skin …
- 238000004422 calculation algorithm 0 title abstract description 35
Classifications
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- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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- G—PHYSICS
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- G06F—ELECTRICAL DIGITAL DATA PROCESSING
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- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0402—Electrocardiography, i.e. ECG
- A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
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- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A—HUMAN NECESSITIES
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