TY  - GEN
AU  - Moeslund,Thomas
AU  - Escalera,Sergio
AU  - Anbarjafari,Gholamreza
AU  - Nasrollahi,Kamal
AU  - Wan,Jun
AU  - Moeslund,Thomas
AU  - Escalera,Sergio
AU  - Anbarjafari,Gholamreza
AU  - Nasrollahi,Kamal
AU  - Wan,Jun
TI  - Statistical Machine Learning for Human Behaviour Analysis
SN  - books978-3-03936-229-5
PY  - 2020///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - History of engineering & technology
KW  - bicssc
KW  - multi-objective evolutionary algorithms
KW  - rule-based classifiers
KW  - interpretable machine learning
KW  - categorical data
KW  - hand sign language
KW  - deep learning
KW  - restricted Boltzmann machine (RBM)
KW  - multi-modal
KW  - profoundly deaf
KW  - noisy image
KW  - ensemble methods
KW  - adaptive classifiers
KW  - recurrent concepts
KW  - concept drift
KW  - stock price direction prediction
KW  - toe-off detection
KW  - gait event
KW  - silhouettes difference
KW  - convolutional neural network
KW  - saliency detection
KW  - foggy image
KW  - spatial domain
KW  - frequency domain
KW  - object contour detection
KW  - discrete stationary wavelet transform
KW  - attention allocation
KW  - attention behavior
KW  - hybrid entropy
KW  - information entropy
KW  - single pixel single photon image acquisition
KW  - time-of-flight
KW  - action recognition
KW  - fibromyalgia
KW  - Learning Using Concave and Convex Kernels
KW  - Empatica E4
KW  - self-reported survey
KW  - speech emotion recognition
KW  - 3D convolutional neural networks
KW  - k-means clustering
KW  - spectrograms
KW  - context-aware framework
KW  - accuracy
KW  - false negative rate
KW  - individual behavior estimation
KW  - statistical-based time-frequency domain and crowd condition
KW  - emotion recognition
KW  - gestures
KW  - body movements
KW  - Kinect sensor
KW  - neural networks
KW  - face analysis
KW  - face segmentation
KW  - head pose estimation
KW  - age classification
KW  - gender classification
KW  - singular point detection
KW  - boundary segmentation
KW  - blurring detection
KW  - fingerprint image enhancement
KW  - fingerprint quality
KW  - speech
KW  - committee of classifiers
KW  - biometric recognition
KW  - multimodal-based human identification
KW  - privacy
KW  - privacy-aware
N1  - Open Access
N2  - This Special Issue focused on novel vision-based approaches, mainly related to computer vision and machine learning, for the automatic analysis of human behaviour. We solicited submissions on the following topics: information theory-based pattern classification, biometric recognition, multimodal human analysis, low resolution human activity analysis, face analysis, abnormal behaviour analysis, unsupervised human analysis scenarios, 3D/4D human pose and shape estimation, human analysis in virtual/augmented reality, affective computing, social signal processing, personality computing, activity recognition, human tracking in the wild, and application of information-theoretic concepts for human behaviour analysis. In the end, 15 papers were accepted for this special issue. These papers, that are reviewed in this editorial, analyse human behaviour from the aforementioned perspectives, defining in most of the cases the state of the art in their corresponding field
UR  - https://mdpi.com/books/pdfview/book/2393
UR  - https://directory.doabooks.org/handle/20.500.12854/68631
ER  -