Skip to main content

The Power of Augmented Reality and Artificial Intelligence During the Covid-19 Outbreak

Part of the Lecture Notes in Computer Science book series (LNISA,volume 12424)

Abstract

The Covid-19 outbreak, the disease elicited by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), poses many significant challenges to scientific communities around the world, including computer scientific communities. At the same time, the rise of computer science fueled by advanced in connectivity of social media and smartphones throughout the world, the fields of augmented reality (AR) and artificial intelligence (AI) have recently grown very rapidly. Augmented reality is an emerging field of a physical scene where the things that reside in the physical world are mixed by virtual world, while artificial intelligence is a popular field for the machine simulation of human intelligence that is programmed to see, think and understand like humans. This paper presents the current development of augmented reality and artificial intelligence during the Covid-19 outbreak. First, we highlight a summary of recent tools using augmented reality to tackle the Covid-19 crisis. For instance, augmented reality-based thermal imaging glasses for detecting virus symptoms and methods of augmented reality on educational tasks that help people overcome the isolation for online learning effectively are reviewed. Second, we discuss an overview of recent tools using artificial intelligence to smartly fight against the Covid-19 pandemic. Our discussion include the artificial intelligence methods to approximate and prepare people for prevention the virus, a method for forecasting of the Covid-19 outbreak using non-linear regressive network (NAR) to predict the size, lengths and ending time of the virus, and susceptible-exposed-infectious-removed (SEIR) model for estimating the outbreak trend of the deadly virus. Finally, we suggest benefits and promising future integrations between augmented reality and artificial intelligence to tackle the research problems after the Covid-19 crisis.

Keywords

  • Augmented reality
  • Artificial intelligence
  • Data-driven
  • Covid-19
  • Coronavirus
  • Non-linear regressive network
  • Susceptible-exposed-infectious-removed

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Reuters, T.: Chinese startup Rokid sees opportunity with COVID-fighting smart glasses (2020). https://www.reuters.com/article/us-health-coronavirus-china-detection-gl/chinese-startup-rokid-sees-opportunity-with-covid-fighting-smart-glasses-idUSKBN22D4TQ. Accessed 5 May 2020

  2. Inavate Virtual Events, “Chinese startup develops Covid-19 detecting thermal glasses” (2020). https://www.inavateonthenet.net/news/article/chinese-startup-develops-covid-19-detecting-thermal-glasses. Accessed 5 May 2020

  3. Li, J.: China’s facial-recognition giant says it can crack masked faces during the coronavirus (2020). https://qz.com/1803737/chinas-facial-recognition-tech-can-crack-masked-faces-amid-coronavirus/. Accessed 10 May 2020

  4. Jakhar, P.: Coronavirus: China’s tech fights back. BBC World (2020). https://www.bbc.com/news/technology-51717164. Accessed 10 May 2020

  5. Maghdid, K.Z., Ghafoor, A.S., Sadiq, K., Curran, K.R.: A novel AI-enabled framework to diagnose coronavirus COVID 19 using smartphone embedded sensors. In: Design Study, pp. 1–5 (2020)

    Google Scholar 

  6. Tely360, “Vuzix Blade Smart Glasses Now Used for COVID-19 Patient Care in Thailand via Tely360’s Ambulance 3rd Eye” (2020). https://ir.vuzix.com/press-releases/detail/1764. Accessed 11 May 2020

  7. Papagiannis, H.: 3 ways Augmented Reality can have a positive impact on society, COVID-19. World Economic Forum (2020). https://www.weforum.org/agenda/2020/04/augmented-reality-covid-19-positive-use/. Accessed 1 May 2020

  8. Kerdvibulvech, C.: Markerless vision-based tracking for interactive augmented reality game. Int. J. Interact. Worlds Issue Serious Games Interact. Worlds 2010, article ID 751615, p. 14 (2010)

    Google Scholar 

  9. Scott, M.: HoloAnatomy goes remote, learning goes on during pandemic. Case Western Reserve University (2020). https://thedaily.case.edu/holoanatomy-goes-remote-learning-goes-on-during-pandemic/. Accessed 12 May 2020

  10. Grayson, M., Thieme, A., Marques, R., Massiceti, D.: A dynamic AI system for extending the capabilities of blind people. In: Morrison, C.C. (ed.) CHI 2020 Extended Abstracts (2020)

    Google Scholar 

  11. Kerdvibulvech, C.: A novel integrated system of visual communication and touch technology for people with disabilities. In: Gervasi, O., et al. (eds.) ICCSA 2016. LNCS, vol. 9787, pp. 509–518. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42108-7_39

    CrossRef  Google Scholar 

  12. Walker, N.S., Tschorn, A., Harper, M.: See iconic Oscar dresses and then put yourself in them. Los Angeles Times (2020). https://www.latimes.com/lifestyle/story/2020–02-07/oscar-oscars-dresses-celebrities-3d-ar-augmented-reality. Accessed 12 May 2020

  13. Yang, Z., et al.: Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions. J. Thoracic Dis. 12(3), 165 (2020)

    CrossRef  Google Scholar 

  14. Bullock, J., Luccioni, A., Pham, K.H., Lam, C.S.N., Luengo-Oroz, M.: Mapping the Landscape of Artificial Intelligence Applications against COVID-19 (2020)

    Google Scholar 

  15. Shi, F., et al.: Review of artificial intelligence techniques in imaging data acquisition, segmentation and diagnosis for COVID-19. IEEE Rev. Biomed. Eng. (2020)

    Google Scholar 

  16. Luengo-Oroz, M., et al.: Artificial intelligence cooperation to support the global response to COVID-19. Nat. Mach. Intell. 2, 295–297 (2020)

    CrossRef  Google Scholar 

  17. Vaishya, R., Javaid, M., Khan, I.H., Haleem, A.: Artificial Intelligence (AI) applications for COVID-19 pandemic. Diab. Metab. Syndr. Clin. Res. Rev. 14(4), 337–339 (2020)

    Google Scholar 

  18. Naudé, W.: Artificial Intelligence against COVID-19: an early review. IZA Discussion Paper no. 13110 (2020)

    Google Scholar 

  19. Naudé, W.: Artificial intelligence vs COVID-19: limitations, constraints and pitfalls. AI Soc. 35(3), 761–765 (2020). https://doi.org/10.1007/s00146-020-00978-0

    CrossRef  Google Scholar 

  20. Ghazaly, N.M., Abdel-Fattah, M.A., Ahmed, A.E.: Novel coronavirus forecasting model using nonlinear autoregressive artificial neural network. J. Adv. Sci. 29(5), pp. 1831–1849 (2020)

    Google Scholar 

  21. Kumar, A., Gupta, P.K., Srivastava, A.: A review of modern technologies for tackling COVID-19 pandemic. Diab. Metab. Syndr. Clin. Res. Rev. 14(4), 569–573 (2020)

    Google Scholar 

Download references

Acknowledgments

This research presented herein was partially supported by a research grant from the Research Center, NIDA (National Institute of Development Administration).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chutisant Kerdvibulvech .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kerdvibulvech, C., Chen, L.(. (2020). The Power of Augmented Reality and Artificial Intelligence During the Covid-19 Outbreak. In: Stephanidis, C., Kurosu, M., Degen, H., Reinerman-Jones, L. (eds) HCI International 2020 - Late Breaking Papers: Multimodality and Intelligence. HCII 2020. Lecture Notes in Computer Science(), vol 12424. Springer, Cham. https://doi.org/10.1007/978-3-030-60117-1_34

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-60117-1_34

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60116-4

  • Online ISBN: 978-3-030-60117-1

  • eBook Packages: Computer ScienceComputer Science (R0)