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Smart Sensing Technologies for Personalised Coaching
| Smart Sensing Technologies for Personalised Coaching |
| Autore | Banos Oresti |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (231 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
activity recognition
wearable devices inertial sensors Bluetooth beacons machine learning e-coaching m-health intervention personalization healthy lifestyle physical activity tangible user interface affordance multimodal cueing animate objects activities of daily living human activity recognition context-awareness Bayesian network mobile application wearable computing wrist-worn heart rate devices cardiac rehabilitation real-time wearable monitoring fuzzy logic fuzzy linguistic approach m-health remote coaching telemonitoring telehealth cadence marathon elevation change analysis personalized assistance level coaching electric bicycles ubiquitous computing health human-centered computing digital coaching diabetes education serious gaming self-management user evaluations sedentary lifestyle context recognition unhealthy sitting habits wearable sensors smartphones smart objects behavior change |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557388403321 |
Banos Oresti
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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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Ubiquitous Technologies for Emotion Recognition
| Ubiquitous Technologies for Emotion Recognition |
| Autore | Banos Oresti |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (174 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
self-management interview application
emotion analysis facial recognition image-mining deep convolutional neural network emotion recognition pattern recognition texture descriptors mobile tool neuromarketing brain computer interface (BCI) consumer preferences EEG signal deep learning deep neural network (DNN) electroencephalogram (EEG) logistic regression Gaussian kernel Laplacian prior affective computing human–robot interaction thermal IR imaging social robots facial expression analysis line segment feature analysis dimensionality reduction convolutional recurrent neural network driver health risk intelligent speech signal processing human computer interaction supervised learning computer vision optical flow micro facial expressions real-time processing driver stress state IR imaging machine learning support vector machine (SVR) advanced driver-assistance systems (ADAS) artificial intelligence image processing video processing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557366303321 |
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Banos Oresti
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||