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AR and VR and AI allied technologies and depression detection and control mechanism
EAI/Springer Innovations in Communication and Computing ; : 203-229, 2021.
Article in English | Scopus | ID: covidwho-1231882
ABSTRACT
Due to the outbreak of COVID-19 pandemic, there exists a situation of worldwide/nationwide lockdown across different countries which results in the growth of new-age technologies including augmented reality (AR) and virtual reality (VR) and their demands. Lockdown situation and social distancing had given sufficient time to develop innovative ideas by using AR/VR technologies. Many global seminars or conferences had been cancelled to practice social distancing and adopt the AR/VR technologies. The consequences of COVID-19 pandemic such as uncertain prognoses and shortages of resources had led to an increase in the depression level among people. This chapter demonstrates the applications of AR/VR and its proposed methodology to integrate the benefits of VR to the standardized mental health treatment process of mental health issues such as depression. The need for effective diagnosis and treatment of mental health combined with the recent advancement of artificial intelligence technologies had led to an increase in explorations in this direction. Deep learning has potentially discovered new learning patterns on the human-machine interface to identify risk factors of mental illness as well as to give optimized therapies. © Springer Nature Switzerland AG 2021.

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Springer Innovations in Communication and Computing Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Springer Innovations in Communication and Computing Year: 2021 Document Type: Article