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Applied Cognitive Sciences
| Applied Cognitive Sciences |
| Autore | Kovari Attila |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (292 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
computer adaptive testing
code tracing basic programming skills internet of thing (IoT) eye tracking heart rate (HR) measurements data analysis Internet addiction dysfunctional emotions coping strategies emotional problems human-AI interaction interaction design Kansei engineering user satisfaction voice-based intelligent system dynamic gesture recognition gesture spotting self-organizing map computational psychology computational cognitive modeling machine learning concept blending conceptual combinations recall computational creativity cognition instance selection clustering information processing cognitive aspects remote virtual simulation incident commander user experiences problem solving decision making assessment learning privacy-preserving computations homomorphic encryption EEG signals school children functional vision vision screening vision training eye-tracking stakeholders human-robot interaction social gaze eye-to-eye contact emotional interfaces eye-brain-computer interfaces attention reflection usability brain hemispheric lateralization online educational material instructional design methodology model virtual reality virtual environment stress spaceflight training EEG emotion neural networks M3GP BED Emotiv multiclass deep learning traffic accident spatially prolonged risk Gestalt proximity open data |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595068903321 |
Kovari Attila
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning-Based Action Recognition
| Deep Learning-Based Action Recognition |
| Autore | Lee Hyo Jong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
human action recognition
graph convolution high-order feature spatio-temporal feature feature fusion dynamic gesture recognition multi-modalities network class regularization 3D-CNN spatiotemporal activations class-specific features Dynamic Hand Gesture Recognition human-computer interaction hand shape features pose estimation stacked hourglass network deep learning convolutional receptive field hand gesture recognition human-machine interface artificial intelligence feedforward neural networks spatio-temporal image formation human activity recognition fusion strategies transfer learning activity recognition data augmentation multi-person pose estimation partitioned centerpose network partition pose representation continuous hand gesture recognition gesture spotting gesture classification multi-modal features 3D skeletal CNN spatiotemporal feature embedded system real-time action recognition Long Short-Term Memory spatio-temporal differential |
| ISBN | 3-0365-5200-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619465803321 |
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Lee Hyo Jong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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