| Autore |
Chen Luefeng
|
| Edizione | [1st edition 2021.] |
| Pubbl/distr/stampa |
Cham, Switzerland : , : Springer, , [2021]
|
| Descrizione fisica |
1 online resource (XI, 247 p. 130 illus., 85 illus. in color.)
|
| Disciplina |
507.2
|
| Altri autori (Persone) |
WuMin
PedryczWitold <1953->
HirotaK (Kaoru)
|
| Collana |
Studies in computational intelligence
|
| Soggetto topico |
Human-robot interaction
Robotics - Human factors
Emotion recognition
|
| ISBN |
3-030-61577-4
|
| Formato |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione |
eng
|
| Nota di contenuto |
Introduction -- Multi-modal emotion feature extraction -- Deep sparse autoencoder network for facial emotion recognition -- AdaBoost-knn with direct optimization for dynamic emotion recognition -- Weight-adapted convolution neural network for facial expression recognition -- Two-layer fuzzy multiple random forest for speech emotion recognition -- Two-stage fuzzy fusion based-convolution neural network for dynamic emotion recognition -- Multi-support vector machine based Dempster-Shafer theory for gesture intention understanding -- Three-layer weighted fuzzy support vector regressions for emotional intention understanding -- Dynamic emotion understanding based on two-layer fuzzy fuzzy support vector regression-Takagi-Sugeno model -- Emotion-age-gender-nationality based intention understanding using two-layer fuzzy support vector regression -- Emotional human-robot interaction systems -- Experiments and applications of emotional human-robot.
|
| Record Nr. | UNINA-9910484411703321 |
Info
Emotion and Attention Recognition Based on Biological Signals and Images / / edited by Seyyed Abed Hosseini
