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 online resource (550 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
activity recognition
affective computing affective corpus aging adults arousal arousal detection artificial intelligence automatic facial emotion recognition auxiliary loss behavioral biometrical systems benchmarking boredom center of pressure class center classification cognitive load computer science convolutional neural network convolutional neural networks correlation statistics data transformation dataset deep convolutional neural network deep learning deep neural network dilated convolutions driving stress EEG elderly caring electrocardiogram electrodermal activity electrodermal activity (EDA) electroencephalography emotion emotion classification emotion elicitation emotion monitoring emotion recognition emotion representation expert evaluation face landmark detection facial detection facial emotion recognition facial expression recognition facial landmarks feature extraction feature selection flight simulation frustration fully convolutional DenseNets GSR head-mounted display homography matrix human-computer interaction in-ear EEG information fusion infrared thermal imaging intensity of emotion recognition interest long short-term memory recurrent neural networks long-term stress machine learning mental stress detection multimodal sensing multimodal sensors musical genres n/a normalization outpatient caring overload pain recognition perceived stress scale physiological sensing physiological signal processing physiological signals psychophysiology quantitative analysis regression respiration road traffic road types sensor sensor data analysis signal analysis signal processing similarity measures skip-connections smart band smart insoles smart shoes socially assistive robot stress stress detection stress recognition stress research stress sensing subject-dependent emotion recognition subject-independent emotion recognition thoracic electrical bioimpedance time series analysis transfer learning underload unobtrusive sensing valence detection Viola-Jones virtual reality wearable sensors weighted loss |
| 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 | ||
| 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 online resource (494 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
abnormal road surface
acceleration sensor adaptive feature extractor advanced traveler information systems (ATIS) amplitude modulation artificial neural networks artificial potential field automatic rail-surface-scratch recognition and computation autonomous vehicle bicycle sharing systems BSS underlying network complete closed mesh model connected vehicles contrast enhancement convolutional neural networks crash risk modeling dark channel prior data visualization data-driven classification of trips decentralized control deep neural network descriptive analytics driving emotions driving safety driving simulator studies driving stress EKF expectation maximization frequency modulation game theory Gaussian background model hazardous materials heart rate highway safety human-like hyper parameter optimization image dehazing in-cylinder pressure identification intelligent transportation systems Intelligent Transportation Systems (ITS) ITS ITS services Kalman filter large-scale network control level of market penetration rate license plate data lifestyle low-cost sensor machine learning matrix inversion metro microscopic traffic data model predictive control n/a neural artistic extraction neural network noise problem in time-varying matrix inversion objectification obstacle avoidance online rail-repair operations research particle filter plate scanning predictive analytics prescriptive analytics probe vehicle public transport systems railway intrusion detection railway maintenance real world experiment real-time estimation real-time fast computing recurrent neural network (RNN) ride comfort RNN-based solver road safety road surface recognition route choice behavior safety performance function scene recognition scene segmentation sensor location problem sensor synchronization sensors shortest path problem simulation smartphone sensing spatial-temporal correlation spatio-temporal traffic modeling speed iteration model subjective evaluation surrogate safety measures time-varying matrix traffic density traffic flow estimation traffic modelling traffic signal control traffic state prediction traffic video dehazing trajectory reconstruction transportation travel time information system triangulation algorithm trip chain trip index trucking turning state transit urban rail transit interior noise user flow forecast variable speed limits vehicle matching vehicle routing problem vehicle trajectory prediction XGBoost classifier |
| 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 | ||
| Lo trovi qui: Univ. Federico II | ||
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