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Bota et al., 2019 - Google Patents

A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals

Bota et al., 2019

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Document ID
5574125190466115015
Author
Bota P
Wang C
Fred A
Da Silva H
Publication year
Publication venue
IEEE access

External Links

Snippet

The seminal work on Affective Computing in 1995 by Picard set the base for computing that relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field of research spanning the areas of computer science, psychology, and cognitive science …
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Classifications

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    • A61B5/0476Electroencephalography
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    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • GPHYSICS
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    • G06F3/015Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection

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