Natural User Interface to Assess Social Skills in Autistic Population

Faita, Claudia; Brondi, Raffaello; Tanca, Camilla; Carrozzino, Marcello; Bergamasco, Massimo

doi:10.1007/978-3-319-60928-7_12

Cited by 6 publications

(7 citation statements)

References 25 publications

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“…• Wellness technologies. Utilising emotion within a metaverse may help improve emotion recognition in children, particularly those with autism, compared with traditional methods [21,22,23], and building on early VR research [24,25,26].…”

Section: The Case For Emotion Within Games and The Metaversementioning

confidence: 99%

“…Students are now being noted to see no separation between playing and learning [40]. Earlier research has looked at improving social skills [24] and emotion recognition [25], yet without using real-time emotion recognition. In relation to the general use of metaverses within healthcare it can lower costs and allow for experiential learning [43].…”

Section: The Case For Emotion Within Games and The Metaversementioning

confidence: 99%

See 1 more Smart Citation

Facial emotion recognition with a reduced feature set for video game and metaverse avatars

Bellenger

Chen

2023

Preprint

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This paper presents a novel real-time facial feature extraction algorithm, producing a small feature set, suitable for implementing emotion recognition with online game and metaverse avatars. The algorithm aims to reduce data transmission and storage requirements, hurdles in the adoption of emotion recognition in these mediums. The early results presented show a facial emotion recognition accuracy of up to 92% on one benchmark dataset, with an overall accuracy of 77.2% across a wide range of datasets, demonstrating the early promise of the research.

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Section: The Case For Emotion Within Games and The Metaversementioning

confidence: 99%

Section: The Case For Emotion Within Games and The Metaversementioning

confidence: 99%

Facial emotion recognition with a reduced feature set for video game and metaverse avatars

Bellenger

Chen

2023

Preprint

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“…Such applications range from psychiatric treatments to rehabilitation and from medical education to surgical training. Notable examples of psychiatric applications include the treatment of phobias [12], the training of emotion regulation [13] and the training of autistic social skills [14]. Additionally, immersive technologies have been used to support cognitive training in older adults with mild cognitive impairment or dementia [15].…”

Section: Related Workmentioning

confidence: 99%

Multipurpose Virtual Reality Environment for Biomedical and Health Applications

Torner

Skouras

Molinuevo

et al. 2019

IEEE Trans. Neural Syst. Rehabil. Eng.

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Virtual reality is a trending, widely accessible, contemporary technology of increasing utility to biomedical and health applications. However, most implementations of VR environments are tailored to specific applications. We describe the complete development of a novel, open-source virtual reality environment that is suitable for multipurpose biomedical and healthcare applications. The developed environment simulates an immersive (first-person perspective) run in the countryside, in a virtual landscape with various salient features. The utility of the developed VR environment has been validated via two test usage cases: an application in the context of motor rehabilitation following injury of the lower limbs and an application in the context of real-time functional magnetic resonance imaging neurofeedback, to regulate brain function in specific regions of interest. The resulting test applications suggest that the implemented approach is robust, versatile and efficient. Both applications are publicly available via a GitHub repository, in support of the Open Science initiative. We anticipate our contribution to catalyze further progress and replicability with regards to the usage of virtual reality in biomedical and health applications.

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Section: Multipurpose Virtual Reality Environment For Biomedical and mentioning

confidence: 99%

Multipurpose virtual reality environment for biomedical and health applications

Torner

Skouras

Gispert

et al. 2018

Preprint

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Abstract-Virtual reality is a trending, widely accessible, contemporary technology of increasing utility to biomedical and health applications. However, most implementations of VR environments are tailored to specific applications. We describe the complete development of a novel, open-source virtual reality environment that is suitable for multipurpose biomedical and healthcare applications. The developed environment simulates an immersive (first-person perspective) run in the countryside, in a virtual landscape with various salient features. The utility of the developed VR environment has been validated via two test usage cases: an application in the context of motor rehabilitation following injury of the lower limbs and an application in the context of real-time functional magnetic resonance imaging neurofeedback, to regulate brain function in specific regions of interest. The resulting test applications suggest that the implemented approach is robust, versatile and efficient. Both applications are publicly available via a GitHub repository, in support of the Open Science initiative. We anticipate our contribution to catalyze further progress and replicability with regards to the usage of virtual reality in biomedical and health applications.

show abstract

Natural User Interface to Assess Social Skills in Autistic Population

Cited by 6 publications

References 25 publications

Facial emotion recognition with a reduced feature set for video game and metaverse avatars

Facial emotion recognition with a reduced feature set for video game and metaverse avatars

Multipurpose Virtual Reality Environment for Biomedical and Health Applications

Multipurpose virtual reality environment for biomedical and health applications

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