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Artificial Intelligence and Ambient Intelligence
| Artificial Intelligence and Ambient Intelligence |
| Autore | Gams Matjaz |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (142 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
robotic hand
control perception tactile sensing mechatronics grasping manipulation PUT-Hand underactuated multi-modal fusion machine learning robotics perception for grasping effective computing emotion system emotional machine agent human-machine interface Wi-Fi CSI crowd counting Doppler spectrum information society electronics artificial intelligence ambient intelligence one-dimensional depth sensor biometrics identification affective computing cognitive load psychophysiology supervised learning |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557343203321 |
Gams Matjaz
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Biomechatronics: Harmonizing Mechatronic Systems with Human Beings
| Biomechatronics: Harmonizing Mechatronic Systems with Human Beings |
| Autore | Zhang Dingguo |
| Pubbl/distr/stampa | Frontiers Media SA, 2019 |
| Descrizione fisica | 1 electronic resource (254 p.) |
| Collana | Frontiers Research Topics |
| Soggetto topico |
Science: general issues
Neurosciences |
| Soggetto non controllato |
Biomechatronics
exoskeleton prosthesis Rehabilitation robot human-machine interface Brainmachine interface Electromyography Electroencephalography |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Biomechatronics |
| Record Nr. | UNINA-9910688332103321 |
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Zhang Dingguo
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| Frontiers Media SA, 2019 | ||
| 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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Test and Evaluation Methods for Human-Machine Interfaces of Automated Vehicles
| Test and Evaluation Methods for Human-Machine Interfaces of Automated Vehicles |
| Autore | Naujoks Frederik |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (416 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
virtual reality
automated driving pedestrians decision making crossing eHMI eye-tracking attention distribution road safety driverless vehicles behavioural adaptation SAE L3 motorway chauffeur system usage acceptance attention secondary task highly automated driving HAD takeover conditional automation intelligent vehicles objective complexity subjective complexity familiarity cognitive assistance takeover quality standardized test procedure use cases test protocol Adaptive HMI automotive user interfaces driver behaviour automated vehicles automated driving systems HMI guidelines heuristic evaluation checklist expert evaluation human-machine interface mode awareness conditionally automated driving human–machine interface usability validity method development motion sickness methodology driving comfort multi-vehicle simulation mixed traffic measurement method SAE Level 2 SAE Level 3 human factors human machine interface controllability L3Pilot marking automated vehicles automated vehicles―human drivers interaction explicit communication external human-machine interface (automated) vehicle–pedestrian interaction implicit communication Wizard of Oz video setup comparison/method comparison partially automated driving non-driving related tasks take-over situations test protocol development user studies (simulator closed circuit) sleep sleep inertia HMI design external human–machine interface interface size legibility spatiotemporal displays sensory augmentation reliability display uncertainty encoding automotive hmi human-machine cooperation cooperative driver assistance state transparency display self-driving vehicles test methods evaluation user studies driver state discomfort psychophysiology heart-rate variability (HRV) skin conductance response (SCR) highly automated driving (HAD) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557706303321 |
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Naujoks Frederik
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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