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Biographical note: Hans-Georg Schumann war Informatik- und Mathematiklehrer an einer Gesamtschule. Er hat viele erfolgreiche Bücher in der mitp-Buchreihe »... für Kids« geschrieben. Long description:

JavaScript --- programmieren --- Blender --- C# --- Computerspiel --- Unity 5 --- Unity --- Unity3D --- Game Engine --- MonoDevelop --- Spieleprgrammierung

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Virtual reality (VR) and augmented reality (AR) have long histories in the healthcare sector, offering the opportunity to develop a wide range of tools and applications aimed at improving the quality of care and efficiency of services for professionals and patients alike. The best-known examples of VR–AR applications in the healthcare domain include surgical planning and medical training by means of simulation technologies. Techniques used in surgical simulation have also been applied to cognitive and motor rehabilitation, pain management, and patient and professional education. Serious games are ones in which the main goal is not entertainment, but a crucial purpose, ranging from the acquisition of knowledge to interactive training.These games are attracting growing attention in healthcare because of their several benefits: motivation, interactivity, adaptation to user competence level, flexibility in time, repeatability, and continuous feedback. Recently, healthcare has also become one of the biggest adopters of mixed reality (MR), which merges real and virtual content to generate novel environments, where physical and digital objects not only coexist, but are also capable of interacting with each other in real time, encompassing both VR and AR applications.This Special Issue aims to gather and publish original scientific contributions exploring opportunities and addressing challenges in both the theoretical and applied aspects of VR–AR and MR applications in healthcare.

reaction time --- accuracy rate --- serious game --- PC-based game --- MCI --- dementia --- elderly healthcare --- cognitive function --- surgical simulation --- augmented reality --- spine surgery --- hybrid simulator --- pedicle screws fixation training --- unity game engine --- healthcare simulation --- mixed reality --- hybrid --- medical training --- serious games --- rehabilitation --- elderly --- body tracking --- exercise games --- AMD --- salience --- virtual reality --- VR --- preventive care --- self-regulation --- assisted Neurofeedback --- neurostimulation --- mindfulness --- randomized --- serious games BCI --- exergames --- personalized exergames --- multicomponent training --- wearable sensors --- older adults --- game design --- interaction design --- mild cognitive impairment --- machine learning --- feature selection --- data transformations --- classification --- n/a

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Augmented reality is a key technology that will facilitate a major paradigm shift in the way users interact with data and has only just recently been recognized as a viable solution for solving many critical needs. In practical terms, this innovation can be used to visualize data from hundreds of sensors simultaneously, overlaying relevant and actionable information over your environment through a headset. Semantic 3D reconstruction unlocks the promise of AR technology, possessing a far greater availability of semantic information. Although, there are several methods currently available as post-processing approaches to extract semantic information from the reconstructed 3D models, the results obtained results have been uncertain and evenly incorrect. Thus, it is necessary to explore or develop a novel 3D reconstruction approach to automatically recover 3D geometry model and obtained semantic information simultaneously. The rapid advent of deep learning brought new opportunities to the field of semantic 3D reconstruction from photo collections. Deep learning-based methods are not only able to extract semantic information but can also enhance fundamental techniques in semantic 3D reconstruction, techniques which include feature matching or tracking, stereo matching, camera pose estimation, and use of multi-view stereo methods. Moreover, deep learning techniques can be used to extract priors from photo collections, and this obtained information can in turn improve the quality of 3D reconstruction.

Technology: general issues --- History of engineering & technology --- feature tracking --- superpixel --- structure from motion --- three-dimensional reconstruction --- local feature --- multi-view stereo --- construction hazard --- safety education --- photoreality --- virtual reality --- anatomization --- audio classification --- olfactory display --- deep learning --- transfer learning --- inception model --- augmented reality --- higher education --- scientific production --- web of science --- bibliometric analysis --- scientific mapping --- applications in subject areas --- interactive learning environments --- 3P model --- primary education --- educational technology --- mobile lip reading system --- lightweight neural network --- face correction --- virtual reality (VR) --- computer vision --- projection mapping --- 3D face model --- super-resolution --- radial curve --- Dynamic Time Warping --- semantic 3D reconstruction --- eye-in-hand vision system --- robotic manipulator --- probabilistic fusion --- graph-based refinement --- 3D modelling --- 3D representation --- game engine --- laser scanning --- panoramic photography --- super-resolution reconstruction --- generative adversarial networks --- dense convolutional networks --- texture loss --- WGAN-GP --- orientation --- positioning --- viewpoint --- image matching --- algorithm --- transformation --- ADHD --- EDAH --- assessment --- continuous performance test --- Photometric Stereo (PS) --- 3D reconstruction --- fully convolutional network (FCN) --- semi-immersive virtual reality --- children --- cooperative games --- empowerment --- perception --- motor planning --- problem-solving --- area of interest --- wayfinding --- spatial information --- one-shot learning --- gesture recognition --- GREN --- skeleton-based --- 3D composition --- pre-visualization --- stereo vision --- 360° video --- n/a