Reviews of the Implications of VR/AR Health Care Applications in Terms of Organizational and Societal Change

Sharif, Muhammad; Ansari, Ghulam Jillani; Yasmin, Mussarat; Fernandes, Steven Lawrence

doi:10.1002/9781119509875.ch1

Cited by 4 publications

(3 citation statements)

References 64 publications

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“…The actual time of the entire implementation of the educational process is increased by the training time in the VR environment. Essentially, the technology influences a faster perception and memorization, which we also recognized during an evaluation of the articles [10][11][12][13][14][15][16][17][18]. We also supported the learning model using EEG measurements to show attention increases in the VR environment compared to the computer problem-solving simulation, while the value of meditation is lower in the VR environment.…”

Section: Discussionmentioning

confidence: 66%

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Implementation of the Modern Immersive Learning Model CPLM

2022

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The digitalization of industrial processes is being driven forward worldwide. In parallel, the education system must also be transformed. Currently, education does not follow the opportunities and development of technologies. We can ask ourselves how we can integrate technologies into a traditional learning process or how we can adapt the learning process to these technologies. We focused on robotics education in secondary vocational education. The paper contains research results from a modern learning model that addresses student problem-solving using cyber–physical systems. We proposed a reference model for industrial robotics education in the 21st century based on an innovative cyber-physical didactic model (CPLM). We conducted procedure time measurements, questionnaire evaluations, and EEG evaluations. We could use VR to influence the improvement of spatial and visual memory. The more intense representation of the given information influences multiple centers in the brain and, thus, the formation of multiple neural connections. We can influence knowledge, learning more effectively with short-term training in the virtual world than with classical learning methods. From the studied resources, we can conclude that the newer approach to teaching robotics is not yet available in this form. The emerging modern technologies and the possibility of developing training in this area should be investigated further.

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Section: Discussionmentioning

confidence: 66%

“…The P3 approach (practice, problem solving, and project) [10] is very interesting, which is also used by educational robotics. We can see that VR may be implemented in many cases of educational robotics ( [10][11][12][13][14][15]).…”

Section: Introductionmentioning

confidence: 99%

Implementation of the Modern Immersive Learning Model CPLM

2022

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“…The amount of neutrophils is between 40 and 70%, lymphocytes are between 20 and 45%, monocytes are between 2 and 10%, eosinophils 1 and 6%, and basophils less than 1% [9]. Although they are only 1% of the whole blood volume, their function is very significant and any imbalance can cause serious health complications [10], e.g., leukemia [11], myelodysplastic syndrome, lymphoma, [12], who suggested the use of a diluent that preserved the blood cells. A manual count of the cells was then performed to determine the ratio of cells and their counts.…”

Section: Introductionmentioning

confidence: 99%

Categorizing white blood cells by utilizing deep features of proposed 4B-AdditionNet-based CNN network with ant colony optimization

Raza

Shah

Sharif³

et al. 2021

Complex Intell. Syst.

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White blood cells, WBCs for short, are an essential component of the human immune system. These cells are our body's first line of defense against infections and diseases caused by bacteria, viruses, and fungi, as well as abnormal and external substances that may enter the bloodstream. A wrong WBC count can signify dangerous viral infections, autoimmune disorders, cancer, sarcoidosis, aplastic anemia, leukemia, tuberculosis, etc. A lot of these diseases and disorders can be extremely painful and often result in death. Leukemia is among the more common types of blood cancer and when left undetected leads to death. An early diagnosis is necessary which is possible by looking at the shapes and determining the numbers of young and immature WBCs to see if they are normal or not. Performing this task manually is a cumbersome, expensive, and time-consuming process for hematologists, and therefore computer-aided systems have been developed to help with this problem. This paper proposes an improved method of classification of WBCs utilizing a combination of preprocessing, convolutional neural networks (CNNs), feature selection algorithms, and classifiers. In preprocessing, contrast-limited adaptive histogram equalization (CLAHE) is applied to the input images. A CNN is designed and trained to be used for feature extraction along with ResNet50 and EfficientNetB0 networks. Ant colony optimization is used to select the best features which are then serially fused and passed onto classifiers such as support vector machine (SVM) and quadratic discriminant analysis (QDA) for classification. The classification accuracy achieved on the Blood Cell Images dataset is 98.44%, which shows the robustness of the proposed work.

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Virtual and augmented reality applications to improve older adults’ quality of life: A systematic mapping review and future directions

2022

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Objective The use of virtual reality and augmented reality to improve older adults’ quality of life has rapidly increased in recent years. This systematic mapping review aimed to provide a comprehensive overview of existing research that identifies and classifies current virtual reality and augmented reality applications that enhance the quality of life of older adults to increase the understanding of the impact of these technologies. Methods To reach this objective, a systematic mapping review was conducted of the studies published between 2009 and 2020 in major scientific databases, such as IEEE Xplore, Web of Science, Scopus, and PubMed. A total of 57 studies were analyzed and classified into four main quality of life domains: physical, cognitive, psychological, and social well-being. Results The findings showed that virtual reality and augmented reality have found their places in many quality of life studies of older adults. Although virtual reality and augmented reality applications are notably growing in the physical and cognitive well-being domains in training and rehabilitation settings, they are still in the early stages of development in psychological and social well-being research as well as healthcare settings. Our findings also revealed that virtual reality games, particularly motion-based exergames, and 3D augmented reality systems are the most common virtual reality and augmented reality types among the reviewed studies. Moreover, balance and attention were the most prevalent physical and cognitive functions when using motion-based and immersive virtual reality exergames and augmented reality systems and games, respectively, while confidence and interaction were the most dominant psychological and social functions. Conclusion This mapping review provides a comprehensive overview of potential areas for further research in this field, thereby assisting researchers, technologists, and health practitioners in expanding this field of research.

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Reviews of the Implications of VR/AR Health Care Applications in Terms of Organizational and Societal Change

Cited by 4 publications

References 64 publications

Implementation of the Modern Immersive Learning Model CPLM

Implementation of the Modern Immersive Learning Model CPLM

Categorizing white blood cells by utilizing deep features of proposed 4B-AdditionNet-based CNN network with ant colony optimization

Virtual and augmented reality applications to improve older adults’ quality of life: A systematic mapping review and future directions

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