Statistical Machine Learning for Human Behaviour Analysis |
Autore | Moeslund Thomas |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (300 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
multi-objective evolutionary algorithms
rule-based classifiers interpretable machine learning categorical data hand sign language deep learning restricted Boltzmann machine (RBM) multi-modal profoundly deaf noisy image ensemble methods adaptive classifiers recurrent concepts concept drift stock price direction prediction toe-off detection gait event silhouettes difference convolutional neural network saliency detection foggy image spatial domain frequency domain object contour detection discrete stationary wavelet transform attention allocation attention behavior hybrid entropy information entropy single pixel single photon image acquisition time-of-flight action recognition fibromyalgia Learning Using Concave and Convex Kernels Empatica E4 self-reported survey speech emotion recognition 3D convolutional neural networks k-means clustering spectrograms context-aware framework accuracy false negative rate individual behavior estimation statistical-based time-frequency domain and crowd condition emotion recognition gestures body movements Kinect sensor neural networks face analysis face segmentation head pose estimation age classification gender classification singular point detection boundary segmentation blurring detection fingerprint image enhancement fingerprint quality speech committee of classifiers biometric recognition multimodal-based human identification privacy privacy-aware |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557288403321 |
Moeslund Thomas | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Virtual Reality in the Assessment, Understanding and Treatment of Mental Health Disorders |
Autore | Riva Giuseppe |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (316 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
Generalized Anxiety Disorder (GAD)
virtual reality exposure in virtual reality cognitive exposure standardized scenario personalized scenario spatial memory episodic memory enactment memory rehabilitation embodied cognition aging body image disturbances body anxiety fear of gaining weight full body illusion body representation obesity health navigation neurorehabilitation systematic review virtual environment cognitive and physical rehabilitation oldest old person Obsessive-compulsive disorders multiple errands test cognitive assessment executive functions computational models decision tree cross-validation real phobic images anxiety disorders specific phobia fMRI neuroimaging anorexia nervosa body image distortion body dissatisfaction embodiment interpersonal multisensory stimulation pain perception telescoped effect amputee patients emotion regulation treatment wellbeing intervention adults distraction systems dental anxiety pain autism spectrum disorder body movements repetitive behaviors machine learning dementia mild cognitive impairment electroencephalogram serious game Alzheimer disease digital biomarker hippocampus MRI cognitive rehabilitation computerized assessment sense of reality hallucinations psychosis derealization sense of agency metacognition stress bodily-self mental health presence |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557760003321 |
Riva Giuseppe | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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