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 | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Behavioral Game Theory |
Autore | Golman Russell |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (128 p.) |
Soggetto topico | Economics, finance, business & management |
Soggetto non controllato |
social preferences
third-party punishment cognitive reflection ability intuition reflection dictator game ultimatum game potential games social welfare risk dominance payoff dominance innovation diffusion externalities decomposition strategic communication two-stage games pareto efficient equilibria belief formation learning behavioral game theory case-based decision theory level-k reasoning guessing game cognitive load endogenous depth of reasoning strategic thinking |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557719603321 |
Golman Russell | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Challenges and Opportunities in Applied System Innovation |
Autore | Douligeris Christos |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (230 p.) |
Soggetto topico |
Technology: general issues
Environmental science, engineering & technology |
Soggetto non controllato |
Industry 4.0
cognitive manufacturing cognitive load human–computer interaction 6GIIoE priorities 6GIIoE challenges 6GIIoE applications information system sequential methodology 6GIIoE theoretical framework circular economy circular building implementation strategies design strategies circular resource flows digital twin digital model system optimization predictive maintenance artificial and human intelligence security risks and risk management quality of life common welfare socio-political assessment assembly process planning systems concurrent engineering automotive industry applications manufacturing industry applications artificial intelligence sustainable development construction civil engineering machine learning construction engineering cognitive data intelligence cognitive healthcare tiny machine learning 6GCIoHE theoretical framework data science statistical data processing predictive analytics classification clustering labor productivity health management health-saving strategies electric power industry bridge expansion joint joint gap smart bridge maintenance equipment sensor structural health monitoring line-scan camera machine vision change management COVID-19 decision-support model digitization employee motivation employee satisfaction human resources software tool |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910580215303321 |
Douligeris Christos | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Emotion and Stress Recognition Related Sensors and Machine Learning Technologies |
Autore | Kyamakya Kyandoghere |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (550 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
subject-dependent emotion recognition
subject-independent emotion recognition electrodermal activity (EDA) deep learning convolutional neural networks automatic facial emotion recognition intensity of emotion recognition behavioral biometrical systems machine learning artificial intelligence driving stress electrodermal activity road traffic road types Viola-Jones facial emotion recognition facial expression recognition facial detection facial landmarks infrared thermal imaging homography matrix socially assistive robot EEG arousal detection valence detection data transformation normalization mental stress detection electrocardiogram respiration in-ear EEG emotion classification emotion monitoring elderly caring outpatient caring stress detection deep neural network convolutional neural network wearable sensors psychophysiology sensor data analysis time series analysis signal analysis similarity measures correlation statistics quantitative analysis benchmarking boredom emotion GSR classification sensor face landmark detection fully convolutional DenseNets skip-connections dilated convolutions emotion recognition physiological sensing multimodal sensing flight simulation activity recognition physiological signals thoracic electrical bioimpedance smart band stress recognition physiological signal processing long short-term memory recurrent neural networks information fusion pain recognition long-term stress electroencephalography perceived stress scale expert evaluation affective corpus multimodal sensors overload underload interest frustration cognitive load stress research affective computing human-computer interaction deep convolutional neural network transfer learning auxiliary loss weighted loss class center stress sensing smart insoles smart shoes unobtrusive sensing stress center of pressure regression signal processing arousal aging adults musical genres emotion elicitation dataset emotion representation feature selection feature extraction computer science virtual reality head-mounted display |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557346003321 |
Kyamakya Kyandoghere | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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