An Overview of Augmented Reality

Arena, Fabio; Collotta, Mario; Pau, Giovanni; Termine, Francesco

doi:10.3390/computers11020028

Cited by 132 publications

(51 citation statements)

References 41 publications

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“… 53 , 54 When used in a non-game-like context, AR still provides a certain fascination and helps keep participants engaged while using applications that allow 3D viewing with the use of a camera. 55 , 56 …”

Section: Literature Reviewmentioning

confidence: 99%

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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Section: Literature Reviewmentioning

confidence: 99%

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

2022

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“…In [ 13 ], Merino et al discussed both technology-centric and human-centric evaluations present in Mixed Reality (MR) and AR literature. More recently, Arena et al [ 14 ] discriminated between games, medical applications, and others briefly described the hardware, software, and design limits of AR systems, and made a reference to AR in Industry 4.0.…”

Section: Related Workmentioning

confidence: 99%

What Is Significant in Modern Augmented Reality: A Systematic Analysis of Existing Reviews

Nikolaidis

2022

J. Imaging

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Augmented reality (AR) is a field of technology that has evolved drastically during the last decades, due to its vast range of applications in everyday life. The aim of this paper is to provide researchers with an overview of what has been surveyed since 2010 in terms of AR application areas as well as in terms of its technical aspects, and to discuss the extent to which both application areas and technical aspects have been covered, as well as to examine whether one can extract useful evidence of what aspects have not been covered adequately and whether it is possible to define common taxonomy criteria for performing AR reviews in the future. To this end, a search with inclusion and exclusion criteria has been performed in the Scopus database, producing a representative set of 47 reviews, covering the years from 2010 onwards. A proper taxonomy of the results is introduced, and the findings reveal, among others, the lack of AR application reviews covering all suggested criteria.

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“…The ARML functional blocks establish the relationship between the actual and virtual worlds by identifying the relationship between them; this enables use of virtual items in the real world. These virtual items are controlled by the user's actions that they take [11]. Most devices utilized in AR applications are IoT devices that fall into one of three categories:…”

Section: Object Detection Techniquesmentioning

confidence: 99%

“…With information from cameras or 3D models, the scene's composition is achievable. The tracking device could be (RFID, wireless sensors, accelerometers, GPS, gyroscopes, solid-state compasses, and digital cameras) [11] and have several settings and ranges; they enhance the AR system's tracking accuracy.…”

Section: Object Detection Techniquesmentioning

confidence: 99%

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A Review of Lightweight Object Detection Algorithms for Mobile Augmented Reality

Nafea¹,

Tan²,

Jubair³

et al. 2022

IJACSA

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Augmented Reality (AR) has led to several technologies being at the forefront of innovation and change in every sector and industry. Accelerated advances in Computer Vision (CV), AR, and object detection refined the process of analyzing and comprehending the environment. Object detection has recently drawn a lot of attention as one of the most fundamental and difficult computer vision topics. The traditional object detection techniques are fully computer-based and typically need massive Graphics Processing Unit (GPU) power, while they aren't usually real-time. However, an AR application required real-time superimposed digital data to enable users to improve their field of view. This paper provides a comprehensive review of most of the recent lightweight object detection algorithms that are suitable to be used in AR applications. Four sources including Web of Science, Scopus, IEEE Xplore, and ScienceDirect were included in this review study. A total of ten papers were discussed and analyzed from four perspectives: accuracy, speed, small object detection, and model size. Several interesting challenges are discussed as recommendations for future work in the object detection field.

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An Overview of Augmented Reality

Cited by 132 publications

References 41 publications

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

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

What Is Significant in Modern Augmented Reality: A Systematic Analysis of Existing Reviews

A Review of Lightweight Object Detection Algorithms for Mobile Augmented Reality

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