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Mithbavkar et al., 2019 - Google Patents

Recognition of emotion through facial expressions using EMG signal

Mithbavkar et al., 2019

Document ID
2391566271012718038
Author
Mithbavkar S
Shah M
Publication year
Publication venue
2019 international conference on nascent technologies in engineering (ICNTE)

External Links

Snippet

Emotion recognition play important role in human-computer interfacing and a treatment of a person under depression. Facial expressions of a person reflect his emotional status. Electromyogram (EMG) based emotion recognition systems able to recognize true emotions …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • 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
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • 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
    • 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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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
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    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
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    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268—Feature extraction; Face representation
    • G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • A—HUMAN NECESSITIES
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