Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In the computer sciences, virtual reality (VR) is usually described as a set of fancy technologies. However, in medicine and neuroscience, VR is instead defined as an advanced form of human–computer interface that allows the user to interact with and become present in a computer-generated environment. The sense of presence offered by VR makes it a powerful tool for personal change because it offers a world where the individual can stay and live a specific experience. For this reason, the use of VR in mental health shows promise: different types of research support its clinical efficacy for conditions including anxiety disorders, stress-related disorders, obesity and eating disorders, pain management, addiction, and schizophrenia. However, more research is needed to transform VR according to a clinical standard for mental health. This Special Issue aims to present the most recent advances in the mental health applications of VR, as well as their implications for future patient care.

Information technology industries --- 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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book is devoted to energy harvesting from smart materials and devices. It focusses on the latest available techniques recently published by researchers all over the world. Energy Harvesting allows otherwise wasted environmental energy to be converted into electric energy, such as vibrations, wind and solar energy. It is a common experience that the limiting factor for wearable electronics, such as smartphones or wearable bands, or for wireless sensors in harsh environments, is the finite energy stored in onboard batteries. Therefore, the answer to the battery “charge or change” issue is energy harvesting because it converts the energy in the precise location where it is needed. In order to achieve this, suitable smart materials are needed, such as piezoelectrics or magnetostrictives. Moreover, energy harvesting may also be exploited for other crucial applications, such as for the powering of implantable medical/sensing devices for humans and animals. Therefore, energy harvesting from smart materials will become increasingly important in the future. This book provides a broad perspective on this topic for researchers and readers with both physics and engineering backgrounds.

Technology: general issues --- History of engineering & technology --- magnetostrictive --- energy harvesting --- wearable --- magnetostrictive materials --- Galfenol --- finite element model --- iron–gallium --- measurements --- preisach model --- piezoelectric ceramics --- lead-free piezoceramics --- virtual instrument --- 3D electrospinning --- PVDF fibers --- piezoelectricity --- piezoelectric sensing --- wind energy harvesting --- snap-through motion --- dynamic stability --- variable-speed --- double-clamped --- width shapes --- piezoelectric energy harvester --- electrodes pair --- MEMS structure --- finite element method --- open circuit voltage --- moving load --- layered double hydroxide solar cell (LDHSC) --- photoactive material --- UV-Vis absorption --- dye sensitized solar cell (DSSC) --- photoactive layered double hydroxide (LDH) --- transition metal modification --- optical bandgap analysis --- renewable energy --- photovoltaic device design --- iron (Fe) modified MgFeAl LDH --- triboelectric effect --- polymer and composites --- low-power devices --- thermomagnetic energy generators --- power generation --- waste heat recovery --- lumped-element modelling --- magnetic shape memory films --- Ni-Mn-Ga film --- magnetization change --- Curie temperature --- finite element simulation --- piezoelectric unit distributions --- electrical potential and energy --- von Mises stress --- PVDF --- piezoelectric material --- human body movements --- glass fiber-reinforced polymer composite --- multifunctional structural laminate --- thermal energy harvesting --- through-thickness thermal gradient --- thermoelectric generator (TEG) --- n/a --- iron-gallium

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

History of engineering & technology --- 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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book focuses on new sensing technologies, measurement techniques, and their applications in medicine and healthcare. Specifically, the book briefly describes the potential of smart sensors in the aforementioned applications, collecting 24 articles selected and published in the Special Issue “Smart Sensors for Healthcare and Medical Applications”. We proposed this topic, being aware of the pivotal role that smart sensors can play in the improvement of healthcare services in both acute and chronic conditions as well as in prevention for a healthy life and active aging. The articles selected in this book cover a variety of topics related to the design, validation, and application of smart sensors to healthcare.

Humanities --- Social interaction --- radiation-induced current --- dosimetry --- photodiodes --- phototransistors (MOSFETs) --- photovoltaic sensor --- CCD/CMOS --- cancer nodules detection --- phantom --- stiffness analysis --- ultrasound analysis --- visual analysis --- automatic robotic platform --- remote support for pathologists --- gait analysis --- gait correction --- electrostatic gait signal --- improved Detrended Cross-Correlation Analysis cross-correlation coefficient --- measuring system --- measurements --- contactless --- respiratory rate --- breathing pattern --- ECG electrode swaps --- ECG electrode potentials --- WCT potential change --- reconstructing correct ECG leads --- MSMinv transformation --- unicolor limb–chest electrodes --- torsional wave --- cervix --- pregnancy --- cervical stiffness --- fiber Bragg gratings --- smart textiles --- wearable systems --- cardiac monitoring --- respiratory monitoring --- precision sports --- archery --- body pressure distribution --- air-filled cell --- alternating pressure air mattress --- time of flight --- air flow --- active control system --- mobile EEG recordings --- montage-replaceable headsets --- BCI --- fiber Bragg grating --- plastic optical fiber --- non-invasive measurement --- pulse wave signals --- blood pressure --- partial least squares regression --- people counting --- bi-directional --- motion detection --- time of flight sensor --- force myography --- prosthetic fitting --- regression --- calibration --- error reduction --- linear regression --- random forest --- general regression neural network --- cross-talk --- force sensitive resistor --- MRI --- EMG --- graph theory --- electrical network --- muscle activity --- forearm --- COPD --- oxygen concentrator --- oxygen therapy --- automatic oxygen concentrator --- physical activity --- machine learning --- respiratory medicine --- portable oxygen concentrator --- oxygen delivery --- cerebral palsy --- game-based rehabilitation exercises --- computerized assessment methods --- motion tracking sensors --- Kinect sensor --- EEG --- PPG --- epilepsy --- signal processing --- brain monitoring --- artificial neural network --- predictive analysis --- dietary monitoring --- healthcare --- ring-type biosensor --- personalized digital medicine --- frailty syndrome --- sit-to-stand --- 30-s chair stand test --- wearable sensors --- fetal movement simulator --- fetal movement monitor --- maternal abdomen model --- acoustic sensor --- accelerometer --- piezoelectric diaphragm --- fiber Bragg grating sensors (FBGs) --- functional magnetic resonance imaging (fMRI) --- grasping actions detection --- motor assessment --- MR-compatible measuring systems --- abdominal movement signal --- hypopnea --- LSTM-RNN --- neural network --- oxygen saturation --- sleep apnea syndrome --- sleep–wake detection --- synchrosqueezing transform --- triaxial accelerometer --- thoracic movement signal --- multiple sclerosis --- kinematics --- surface EMG --- accelerator --- inertial sensor --- T10MW --- markerless motion capture --- automatic pushing analysis --- SCI patients --- RGB-D sensors --- respiration monitoring --- non-contact monitoring --- body movements detection --- thermal imaging --- natural sleep environments --- n/a --- unicolor limb-chest electrodes --- sleep-wake detection