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Li et al., 2023 - Google Patents

Emotion recognition based on multiple physiological signals

Li et al., 2023

Document ID
587500873771291583
Author
Li Q
Liu Y
Yan F
Zhang Q
Liu C
Publication year
Publication venue
Biomedical Signal Processing and Control

External Links

Snippet

Physiological signals can more realistically reflect human emotional states. To overcome the limitations imposed in single-modal emotion recognition, emotion recognition of multimodal physiological signals has received increasingly widespread attention. However, the original …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • 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
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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