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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Intelligent Transportation Related Complex Systems and Sensors |
Autore | Kyamakya Kyandoghere |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (494 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
image dehazing
traffic video dehazing dark channel prior spatial-temporal correlation contrast enhancement traffic signal control game theory decentralized control large-scale network control railway intrusion detection scene segmentation scene recognition adaptive feature extractor convolutional neural networks in-cylinder pressure identification speed iteration model EKF frequency modulation amplitude modulation sensor synchronization microscopic traffic data trajectory reconstruction expectation maximization vehicle matching artificial neural networks metro transportation user flow forecast matrix inversion time-varying matrix noise problem in time-varying matrix inversion recurrent neural network (RNN) RNN-based solver real-time fast computing real-time estimation probe vehicle traffic density neural network level of market penetration rate deep neural network neural artistic extraction objectification ride comfort subjective evaluation road surface recognition Gaussian background model abnormal road surface acceleration sensor traffic state prediction spatio-temporal traffic modeling simulation machine learning hyper parameter optimization ITS crash risk modeling hazardous materials highway safety operations research prescriptive analytics shortest path problem trucking vehicle routing problem data visualization descriptive analytics predictive analytics urban rail transit interior noise smartphone sensing XGBoost classifier railway maintenance vehicle trajectory prediction license plate data trip chain turning state transit route choice behavior real world experiment Intelligent Transportation Systems (ITS) advanced traveler information systems (ATIS) connected vehicles particle filter Kalman filter road safety travel time information system safety performance function bicycle sharing systems public transport systems data-driven classification of trips BSS underlying network trip index automatic rail-surface-scratch recognition and computation triangulation algorithm complete closed mesh model online rail-repair autonomous vehicle obstacle avoidance artificial potential field model predictive control human-like variable speed limits intelligent transportation systems ITS services driving simulator studies traffic modelling surrogate safety measures driving safety driving emotions driving stress lifestyle sensors heart rate plate scanning low-cost sensor sensor location problem traffic flow estimation |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557345603321 |
Kyamakya Kyandoghere | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Recent Advances in Nonlinear Dynamics and Synchronization : With Selected Applications in Electrical Engineering, Neurocomputing, and Transportation / / edited by Kyandoghere Kyamakya, Wolfgang Mathis, Ruedi Stoop, Jean Chamberlain Chedjou, Zhong Li |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XII, 367 p. 137 illus., 69 illus. in color.) |
Disciplina | 531.0151535 |
Collana | Studies in Systems, Decision and Control |
Soggetto topico |
Computational complexity
Statistical physics Electrical engineering Transportation engineering Traffic engineering Computational intelligence Complexity Applications of Nonlinear Dynamics and Chaos Theory Electrical Engineering Transportation Technology and Traffic Engineering Computational Intelligence |
ISBN | 3-319-58996-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | On the Construction of Dissipative Polynomial Nambu Systems with Limit Cycles -- On the dynamics of chaotic systems with multiple attractors: A case study -- Multivaluedness Aspects in Self-organization, Complexity and Computations Investigations by Strong Anticipation -- A Review of Traffic Light Control Systems and Introduction of a Control Concept Based on Coupled Nonlinear Oscillators -- Neural network based calibration of macroscopic traffic flow models -- Travelers of the second modernity: where technological and social dynamic complexity meet each other -- Design of a Chaotic Pulse-Position Modulation Circuit -- Emotion Recognition involving Physiological and Speech Signals: A Comprehensive Review -- Neurocomputing-based Matrix Inversion: A critical Review of the related State-of-the-Art. |
Record Nr. | UNINA-9910299904303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering / / edited by Kyandoghere Kyamakya, Wolfgang A. Halang, Wolfgang Mathis, Jean Chamberlain Chedjou, Zhong Li |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XXII, 476 p. 207 illus.) |
Disciplina | 621.3 |
Collana | Studies in Computational Intelligence |
Soggetto topico |
Electrical engineering
Statistical physics Electrical Engineering Applications of Nonlinear Dynamics and Chaos Theory |
ISBN | 3-642-37781-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I Theory of Chaos and Synchronization and Applications in mechanics, transportation, Communication and Security Related System Concepts -- Part II Systems’ Dynamics Modeling and Simulation with applications to real physical systems and phenomena -- Part III Electromagnetics Theory, Modeling and Simulation of Real Physical Electromagnetic Prototypes -- Part IV Theory of Stability and Recent Trends -- Part V Further Application Area- Optimization, Data Mining, Pattern Recognition and Image processing. |
Record Nr. | UNINA-9910437888003321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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