A Survey on Virtual Reality for Individuals with Autism Spectrum Disorder: Design Considerations

Bozgeyikli, Lal; Raij, Andrew; Katkoori, Srinivas; Alqasemi, Redwan

doi:10.1109/tlt.2017.2739747

Cited by 97 publications

(64 citation statements)

References 102 publications

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“…The exercises have been designed in order to offer a more effective and customized training for cognitive deficiencies, allowing for an easy customization and definition of exercises; offering the possibility of performing training programs in autonomy, without the need of the continuous presence of caregiver/parents, but under their continuous monitoring, and which can be performed quietly at home; allowing CD specialist to use a complete and rich set of data recorded from the exercises executed by the users to improve knowledge on rehabilitation and therapies. There already exist, some projects that explore therapeutic approaches based on social stories [ 5 ] and storytelling [ 6 ], mostly targeting young people with Autism [ 2 , 8 ]. The benefits of MR in the CD arena are much less explored.…”

Section: Vr/ar Rehabilitation Exercisesmentioning

confidence: 99%

Virtual and Augmented Reality Platform for Cognitive Tele-Rehabilitation Based System

Aruanno

Caruso

Rossini

et al. 2020

Lecture Notes in Computer Science

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Virtual and Augmented Reality systems have been increasingly studied, becoming an important complement to traditional therapy as they can provide high-intensity, repetitive and interactive treatments. Several systems have been developed in research projects and some of these have become products mainly for being used at hospitals and care centers. After the initial cognitive rehabilitation performed at rehabilitation centers, patients are obliged to go to the centers, with many consequences, as costs, loss of time, discomfort and demotivation. However, it has been demonstrated that patients recovering at home heal faster because surrounded by the love of their relatives and with the community support.

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Section: Vr/ar Rehabilitation Exercisesmentioning

confidence: 99%

Virtual and Augmented Reality Platform for Cognitive Tele-Rehabilitation Based System

Aruanno

Caruso

Rossini

et al. 2020

Lecture Notes in Computer Science

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“…Visual Environment: The virtual environment used for this experiment represents an enchanted forest setting at night (see Figure 4). It has been noted that when designing visual aspects of virtual reality for ASD applications , the presence of visual clutter significantly affects user performance at completing tasks [58]. Therefore, the graphical environment was designed to be engaging without presenting visual elements that may have driven user attention away from the auditory stimuli.…”

Section: Stimulimentioning

confidence: 99%

Measuring the Behavioral Response to Spatial Audio within a Multi-Modal Virtual Reality Environment in Children with Autism Spectrum Disorder

2019

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Virtual Reality (VR) has been an active area of research in the development of interactive interventions for individuals with autism spectrum disorder (ASD) for over two decades. These immersive environments create a safe platform in which therapy can address the core symptoms associated with this condition. Recent advancements in spatial audio rendering techniques for VR now allow for the creation of realistic audio environments that accurately match their visual counterparts. However, reported auditory processing impairments associated with autism may affect how an individual interacts with their virtual therapy application. This study aims to investigate if these difficulties in processing audio information would directly impact how individuals with autism interact with a presented virtual spatial audio environment. Two experiments were conducted with participants diagnosed with ASD (n = 29) that compared: (1) behavioral reaction between spatialized and non-spatialized audio; and (2) the effect of background noise on participant interaction. Participants listening to binaural-based spatial audio showed higher spatial attention towards target auditory events. In addition, the amount of competing background audio was reported to influence spatial attention and interaction. These findings suggest that despite associated sensory processing difficulties, those with ASD can correctly decode the auditory cues simulated in current spatial audio rendering techniques.

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“…Although there are many works related to dynamic pedestrians, such as detection and recognition [1][2][3], positioning [4][5][6], and tracking [7][8][9], it is still a serious challenge to measure the human height accurately in the dynamic case. As a vital state attribute of pedestrians, the height can not only help locate dynamic pedestrians or track criminal suspects in reality but also help people get rid of the 3D glasses or helmets in virtual scene [10]. For example, Nilsson et al adopted the pedestrian height and positions of feet as constraint factors to design a Kalman filter model [11,12], which can be used for pedestrian positioning and navigation.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Height Measurement for Moving Pedestrians

et al. 2020

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Height measurement for moving pedestrians is quite significant in many scenarios, such as pedestrian positioning, criminal suspect tracking, and virtual reality. Although some existing height measurement methods can detect the height of the static people, it is hard to measure height accurately for moving pedestrians. Considering the height fluctuations in dynamic situation, this paper proposes a real-time height measurement based on the Time-of-Flight (TOF) camera. Depth images in a continuous sequence are addressed to obtain the real-time height of the pedestrian with moving. Firstly, a normalization equation is presented to convert the depth image into the grey image for a lower time cost and better performance. Secondly, a difference-particle swarm optimization (D-PSO) algorithm is proposed to remove the complex background and reduce the noises. Thirdly, a segmentation algorithm based on the maximally stable extremal regions (MSERs) is introduced to extract the pedestrian head region. Then, a novel multilayer iterative average algorithm (MLIA) is developed for obtaining the height of dynamic pedestrians. Finally, Kalman filtering is used to improve the measurement accuracy by combining the current measurement and the height at the last moment. In addition, the VICON system is adopted as the ground truth to verify the proposed method, and the result shows that our method can accurately measure the real-time height of moving pedestrians.

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A Survey on Virtual Reality for Individuals with Autism Spectrum Disorder: Design Considerations

Cited by 97 publications

References 102 publications

Virtual and Augmented Reality Platform for Cognitive Tele-Rehabilitation Based System

Virtual and Augmented Reality Platform for Cognitive Tele-Rehabilitation Based System

Measuring the Behavioral Response to Spatial Audio within a Multi-Modal Virtual Reality Environment in Children with Autism Spectrum Disorder

Real-Time Height Measurement for Moving Pedestrians

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