Skip to main content

Recent Advances in Mechatronics Devices: Screening and Rehabilitation Devices for Autism Spectrum Disorder

  • Chapter
  • First Online:
Advanced Mechatronics and MEMS Devices II

Part of the book series: Microsystems and Nanosystems ((MICRONANO))

Abstract

Autism spectrum disorder (ASD) is one of the most common, with the rate of 1 out of 68 children in the USA, neurodevelopmental disorders and its core symptoms comprise of deficits in social communication, and restricted and repetitive behaviors. Early and accurate screening and intervention are crucial factors in enhancing the quality of life and functional independency of individuals with ASD. Much research has been performed to design and develop mechatronics technologies to strengthen the performance of the screening and rehabilitation procedures for individuals with ASD. In this chapter, we review some of the currently developed devices in this area and discuss their advantages and limitations, as well as potential technologies which can be employed in such devices in the future.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

References

  1. American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Association, Arlington

    Book  Google Scholar 

  2. Szatmari P (2003) The causes of autism spectrum disorders. Multiple factors have been identified but a unifying cascade of events is still elusive. Br Med J 326(7382):173–174

    Article  Google Scholar 

  3. Golestan S, Soleiman P, Taban R, Moradi H (2016) A comprehensive review of technologies used in screening, rehabilitation, and assessment of autism spectrum disorder (ASD). MIR_TechReport 94-10-29/1, School of Electrical and Computer Engineering, University of Tehran

    Google Scholar 

  4. Goldstein S, DeVries M (2013) Autism spectrum disorder enters the age of multidisciplinary treatment. In: Gledstein S, Naglieri JA (eds) Interventions for autism spectrum disorders, translating science into practice. Springer, New York, pp 3–18

    Chapter  Google Scholar 

  5. Samadi SA, McConkey R (2011) Autism in developing countries: lessons from Iran. Autism Res Treat 2011:145359

    Google Scholar 

  6. http://www.cdc.gov/ncbddd/autism/hcp-screening.html

  7. Fletcher PC, Markoulakis R, Bryden PJ (2012) The cost of caring for a child with an autism spectrum disorder. Compr Pediatr Nurs 35:45–69

    Article  Google Scholar 

  8. http://espressif.com/en/products/esp8266/

  9. Ekhtiari S, Moradi H, Pouretemad HR, Araabi B (2012) Early autism screening using an intelligent toy. In: The 5th international congress of child and adolescent psychiatry

    Google Scholar 

  10. Soleiman P, Moradi H, Mahmoudi M, Pouretemad HR (2015) Using a parrot like robot for speech therapy of children with autism. In: The 4th basic and clinical neuroscience congress, Tehran, Iran, 23–25 Dec 2015

    Google Scholar 

  11. Pourmemar M, Moradi H, Pouretemad HR (2015) The design, development, and evaluation of a system for joint attention therapy for children with autism. In: The 4th basic and clinical neuroscience congress, Tehran, Iran, 23–25 Dec 2015

    Google Scholar 

  12. Hernandez J, McDuff DJ, Picard RW (2015) BioInsights: extracting personal data from “still” wearable motion sensors. In: Proceedings of body sensor networks conference, MIT, Cambridge, June 2015

    Google Scholar 

  13. Ebrahimi M, Feghi M, Moradi H, Mirian M, Pouretemad HR (2015) Distinguishing tip-toe walking from normal walking using skeleton data gathered by 3D sensors. In: The 3rd international conference on robotics and mechatronics, Tehran, Iran, pp 450–455

    Google Scholar 

  14. Soleiman P, Moradi H, Mahmoudi M, Pouretemad HR (2015) The design, development, and deployment of RoboParrot for screening autistic children. Int J Soc Robot 7:513–522

    Article  Google Scholar 

  15. Golliot J, Raby-Nahas C, Merat Y, Beaudoin A, Côté B, Duclos C (2015) A tool to diagnose autism in children aged between two to five old: an exploratory study with the Robot QueBall. In: HRI’15 extended abstracts. Proceedings of the tenth annual ACM/IEEE international conference on human-robot interaction, pp 61–62

    Google Scholar 

  16. Amirhafteran S, Irani B, Pouretemad H, Samaknejad N, Moradi H (2015) The average fixation duration on the face is the indicator of communication disorder in autistic children. In: The 6th international conference of cognitive science, Tehran, Iran, 27–29 Apr 2015, p 79

    Google Scholar 

  17. Albinali F, Goodwin MS, Intille SS (2009) Recognizing stereotypical motor movements in the laboratory and classroom: a case study with children on the autism spectrum. In: Proceedings of the international conference on ubiquitous computing, pp 71–80

    Google Scholar 

  18. Campolo D, Taffoni F, Shiavone G, Laschi C, Keller F, Guglielmelli E (2008) A novel technological approach towards the early diagnosis of neurodevelopmental disorders. In: The 30th annual international IEEE EMBS conference, Vancouver, Aug 2008

    Google Scholar 

  19. http://www.gregoryabowd.com/research/projects/3d-eye-gaze-tracking-estimate-joint-attention

  20. Hemmati N, Setarehdan SK, Ahmadi Noubari H (2012) Multi-channel near-infrared spectroscopy (NIRS) system for noninvasive monitoring of brain activity. In: Proceedings of the IEEE-EMBS international conference on biomedical and health informatics (BHI), Hong Kong and Shenzen, China

    Google Scholar 

  21. Coben R, Mohammad-Rezazadeh I, Cannon RL (2014) Using quantitative and analytic EEG methods in the understanding of connectivity in autism spectrum disorders: a theory of mixed over- and under-connectivity. Front Hum Neurosci 8:45

    Article  Google Scholar 

  22. Buard I, Rogers SJ, Hepburn S, Kronberg E, Rojas DC (2013) Altered oscillation patterns and connectivity during picture naming in autism. Front Hum Neurosci 7:742

    Article  Google Scholar 

  23. Xu D, Gilkerson J, Richards J, Yapanel U, Gray S (2009) Child vocalization composition as discriminant information for automatic autism detection. In: Proceedings of the IEEE international conference on engineering in medicine and biology, Sep 2009

    Google Scholar 

  24. Ebrahimi Motlagh H, Moradi H, Pouretemad HR (2013) Using general sound descriptors for early autism detection. In: The 9th Asian control conference (ASCC), pp 1–5

    Google Scholar 

  25. Diehl JJ, Schmitt LM, Villano M, Crowell CR (2012) The clinical use of robots for individuals with autism spectrum disorders: a critical review. Res Autism Spectr Disord 6(1):249–262

    Article  Google Scholar 

  26. Taheri AR, Alemi M, Meghdari A, Pouretemad HR, Holderread SL (2015) Clinical application of humanoid robots in playing imitation games for autistic children in Iran. Soc Behav Sci 176:898–906

    Article  Google Scholar 

  27. Greczek J, Kaszubski E, Atrash A, Mataric M (2014) Graded cueing feedback in robot-mediated imitation practice for children with autism spectrum disorders. In: The 23rd IEEE international symposium on robot and human interactive communication, pp 561–566

    Google Scholar 

  28. Dickstein-Fischer L, Alexander E, Yan X (2011) Affordable compact humanoid robot for autism spectrum disorder in children. In: 33rd annual international conference of the IEEE EMBS, pp 5319–5322

    Google Scholar 

  29. Nimer J, Lundahl B (2007) Animal-assisted therapy: a meta-analysis. Interact People Anim 20(3):225–238

    Google Scholar 

  30. Stanton CM, Kahn PH, Severson RL, Ruckert JH, Gill BT (2008) Robotic animals might aid in the social development of children with autism. In: The 3rd ACM/IEEE international conference on human-robot interaction, pp 271–278

    Google Scholar 

  31. Kozima H, Nakagawa C, Yasuda Y (2007) Children-robot interaction: a pilot study in autism therapy. Int J Prog Brain Res 164:385–400

    Article  Google Scholar 

  32. Kim ES, Berkovits LD, Bernier EP, Leyzberg D, Shic F, Paul R, Scessellati B (2013) Social robots as embedded reinforcers of social behavior in children with autism. J Autism Dev Disord 43(5):1038–1049

    Article  Google Scholar 

  33. Lee BH, Jang J, Mun K, Kwon JY, Jung JS (2014) Development of therapeutic expression for a cat robot in the treatment of autism spectrum disorders. In: 11th international conference on informatics in control, automation and robotics (ICINCO), 2014, vol 2, pp 640–647

    Google Scholar 

  34. Hirokawa M, Funahashi A, Itoh Y, Suzuki K (2014) Design of affective robot-assisted activity for children with autism spectrum disorders. In: Robot and human interactive communication, 2014 RO-MAN: the 23rd IEEE international symposium

    Google Scholar 

  35. Gilkerson J, Richards JA. Impact of adult talk, conversational turns, and TV during the critical 0-4 years of child development. LENA foundation technical report ITR-01-2

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank Joseph Jurgiel and Kelly Tung from the UCLA Semel Institute for Neuroscience, and Giorgia Michelini from King’s College London for their help and comments while reviewing this chapter. Also, the authors like to thank Pegah Soleiman, Shadan Golestan, Aida Khozaei, Rozhina Ghanavi, and Majid Pourmemar from Advanced Robotics and Intelligent Systems laboratory for sharing their findings in writing this chapter.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hadi Moradi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Moradi, H., Mohammad-Rezazadeh, I. (2017). Recent Advances in Mechatronics Devices: Screening and Rehabilitation Devices for Autism Spectrum Disorder. In: Zhang, D., Wei, B. (eds) Advanced Mechatronics and MEMS Devices II. Microsystems and Nanosystems. Springer, Cham. https://doi.org/10.1007/978-3-319-32180-6_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-32180-6_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32178-3

  • Online ISBN: 978-3-319-32180-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics