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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New Trends in Cognitive Ageing and Mild Cognitive Impairment
| New Trends in Cognitive Ageing and Mild Cognitive Impairment |
| Autore | Facal David |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (130 p.) |
| Soggetto topico | Public health & preventive medicine |
| Soggetto non controllato |
memory loss
virtual reality technology nature environments qualitative research dementia long-term care cognitive aging epidemiology healthcare disparities minority health leisure activity engagement measurement of activity cognitive performance aging adults sustained attention to response task SART multimodal visualization threshold timed up-and-go falls cognition repeated measures mobility decline molecular imaging ICDs 18F-FDG-PET Parkinson's disease dopamine agonists mixed dementia behavioral and psychological symptoms in dementia challenging behaviors lockdown depression adjustment disorder glaucoma hallucinations polypharmacy balance exercise Otago Exercise Program |
| ISBN | 3-0365-5538-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637778203321 |
Facal David
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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