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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 online resource (240 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
3D skeletal
3D-CNN action recognition activity recognition artificial intelligence class regularization class-specific features CNN continuous hand gesture recognition convolutional receptive field data augmentation deep learning dynamic gesture recognition Dynamic Hand Gesture Recognition embedded system feature fusion feedforward neural networks fusion strategies gesture classification gesture spotting graph convolution hand gesture recognition hand shape features high-order feature human action recognition human activity recognition human-computer interaction human-machine interface Long Short-Term Memory multi-modal features multi-modalities network multi-person pose estimation n/a partition pose representation partitioned centerpose network pose estimation real-time spatio-temporal differential spatio-temporal feature spatio-temporal image formation spatiotemporal activations spatiotemporal feature stacked hourglass network transfer learning |
| 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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