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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 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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sharing Cities Shaping Cities / Andrea Arcidiacono, Eugenio Morello, Giuseppe Salvia
| Sharing Cities Shaping Cities / Andrea Arcidiacono, Eugenio Morello, Giuseppe Salvia |
| Autore | Arcidiacono Andrea |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (142 p.) |
| Soggetto non controllato |
Airbnb and policy innovation
accessibility Airbnb and housing typologies informality Melbourne sharing economy bike sharing local communities Airbnb and planning Airbnb and domestic design mobility policy platform cooperativism urban regeneration Airbnb and governance emotions democratic quality sharing urban studies stress levels sharing platform digital participation social relations spatial agency critical autoethnography cohousing collaborative workplaces participation Bourdieu co-design coworking entrepreneurial action coworking spaces Melbourne Airbnb coworking business collaborative economy design-research sustainable mobility urban mobility architecture architectural and urban effects of Airbnb ageing physiological sensors GSR sharing economic social street matchmaking socio-spatial effects of Airbnb sharing economy urban galvanic skin response coproduction coworking space emotional layer |
| ISBN |
9783038979890
3038979899 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346850703321 |
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Arcidiacono Andrea
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Signal Processing Using Non-invasive Physiological Sensors
| Signal Processing Using Non-invasive Physiological Sensors |
| Autore | Niazi Imran Khan |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (222 p.) |
| Soggetto topico | Medical equipment and techniques |
| Soggetto non controllato |
acoustic
AMR voice auscultation sites biomedical signal processing blink brain-computer interface Brain-Computer Interface channel of interest channel selection classification computer aided diagnosis congenital heart disease convolution neural network (CNN) convolutional neural network (CNN) deep neural network discrete wavelet transform ECG ECG derived respiration (EDR) EEG Electrocardiogram (ECG) electroencephalogram (EEG) electroencephalography EMG emotion recognition empirical mode decomposition eye blink feature extraction feature selection and reduction functional near-infrared spectroscopy GSR home automation human machine interface (HMI) hybrid brain-computer interface (BCI) hypertension image gradient image processing long short-term memory (LSTM) machine learning mel-frequency cepstral coefficients mental imagery mobile motor imagery movement intention movement-related cortical potential multiscale principal component analysis myoelectric control neurorehabilitation Open-CV pattern recognition phonocardiogram physiological signals pulse plethysmograph quadriplegia Raspberry Pi reaction reflex region of interest rehabilitation respiratory rate (RR) response short-time Fourier transform (STFT) sound startle statistical analysis steady-state visually evoked potential (SSVEP) stroke successive decomposition index support vector machines wheelchair z-score method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566473903321 |
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Niazi Imran Khan
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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