2021
DOI: 10.1007/s40489-020-00230-x
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Virtual Reality and Augmented Reality for Children, Adolescents, and Adults with Communication Disability and Neurodevelopmental Disorders: a Systematic Review

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Cited by 37 publications
(23 citation statements)
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“…During the last years, a number of reviews have addressed the use of VR systems to improve skills in individuals with ASD. [8][9][10][11] However, these reviews have investigated the general use of a variety of VR systems, which include a range of technologies such as computer screens, tablets, and phones to display the virtual environment. Compared to other VR technologies, Head-mounted displays (HMDs) allow for the most immersive and realistic VR experience and therefore minimize the gap between the virtual training environment and the real life environments where life skills are needed.…”
Section: Head-mounted Displays In Vr Interventionsmentioning
confidence: 99%
“…During the last years, a number of reviews have addressed the use of VR systems to improve skills in individuals with ASD. [8][9][10][11] However, these reviews have investigated the general use of a variety of VR systems, which include a range of technologies such as computer screens, tablets, and phones to display the virtual environment. Compared to other VR technologies, Head-mounted displays (HMDs) allow for the most immersive and realistic VR experience and therefore minimize the gap between the virtual training environment and the real life environments where life skills are needed.…”
Section: Head-mounted Displays In Vr Interventionsmentioning
confidence: 99%
“…VR has been used to facilitate children with autism in gaining emotional understanding and social conversation as indicated by the studies of Cheng et al [33] and Horace et al [34]. Some researchers have tried to assess effectiveness of VR for children with specific developmental issues though due mixed opinions, it requires further studies to evaluate its effectiveness [35].…”
Section: Child/developmental Psychologymentioning
confidence: 99%
“…Few attempts has been published to detect different objects in drone footage using CNNs based learning as in [27][28][29][30] and [31], etc. The binary classifiers for the detection of palm trees, as one of the objects in the designed multiclass detector, can be found in [32][33][34][35][36][37] and [37,38] and [39]. For more details we refer the readers to [5].…”
Section: Related Workmentioning
confidence: 99%
“…With the set of rules, a 1D model of the brink detector is presented. Three localization algorithms are given in an article [35]. All algorithms employ function factors, and of them moreover have a take a observe near-horizontal and near-vertical strains at the photo.…”
Section: Machine Vision Techniquesmentioning
confidence: 99%
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