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Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
| 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
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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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Intelligent Transportation Related Complex Systems and Sensors
| 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 |
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Kyamakya Kyandoghere
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||