Abstract
Autism spectrum disorder (ASD) is a condition that is being diagnosed in a growing portion of the population. ASD represents a range of complex disorders with a number of symptoms including social difficulties and behavioral issues. Some individuals suffering from ASD are prone to incidents of agitation that can lead to escalation and meltdowns. Such incidents represent a risk to the individuals with ASD and others who share their environment. This paper introduces a novel approach to monitor triggers for these incidents with an aim to detect and predict an incident happening. Non-invasive sensors monitor factors within an environment that may indicate such an incident. Combined with an NFC and smart phone based mechanism to report incidents in a relatively friction free manner. These reports will be combined with sensor records to train a prediction system based on supervised machine learning. Future work will identify the best performing machine-learning technique and will evaluate the approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Electroencephalography - recording electrical brain activity through electrodes on the scalp.
References
Kim, Y.S., Leventhal, B.L., Koh, Y.-J., Fombonne, E., Laska, E., Lim, E.-C., Cheon, K.-A., Kim, S.-J., Kim, Y.-K., Lee, H., Song, D.-H., Grinker, R.R.: Prevalence of autism spectrum disorders in a total population sample. Am. J. Psychiatry 168, 904–912 (2011)
Baron-Cohen, S., Scott, F.J., Allison, C., Williams, J., Bolton, P., Matthews, F.E., Brayne, C.: Prevalence of autism-spectrum conditions: UK school-based population study. Br. J. Psychiatry 194, 500–509 (2009)
Levy, S.E., Mandell, D.S., Schultz, R.T.: Autism. Lancet. 374, 1627–1638 (2009)
Rafferty, J., Nugent, C., Chen, L., Qi, J., Dutton, R., Zirk, A., Boye, L.T., Kohn, M., Hellman, R.: NFC based provisioning of instructional videos to assist with instrumental activities of daily living. Engineering in Medicine and Biology Society (2014)
Acampora, G., Cook, D.J., Rashidi, P., Vasilakos, A.V.: A survey on ambient intelligence in health care. Proc. IEEE. Inst. Electr. Electron. Eng. 101, 2470–2494 (2013)
Bonfiglio, S., Chetouani, M., Giuliano, A., Maharatna, K., Muratori, F., Donnelly, M., Paggetti, C., Pioggia, G.: MICHELANGELO, an European research project exploring new, ICT-supported approaches in the assessment and treatment of autistic children. Neuropsychiatr. Enfance. Adolesc. 60, S210 (2012)
Miles, J.H., McCathren, R.B.: Autism Overview. GeneReviews at GeneTests: Medical Genetics Information Resource, pp. 1–29 (2005)
Newschaffer, C.J., Croen, L.A., Daniels, J., Giarelli, E., Grether, J.K., Levy, S.E., Mandell, D.S., Miller, L.A., Pinto-Martin, J., Reaven, J., Reynolds, A.M., Rice, C.E., Schendel, D., Windham, G.C.: The epidemiology of autism spectrum disorders*. Annu. Rev. Public Health 28, 235–258 (2007)
Brown, S.: Autism Spectrum Disorder and De-escalation Strategies (2015)
Odom, S., Thompson, J., Hedges, S., Boyd, B., Dykstra, J., Duda, M., Szidon, K., Smith, L., Bord, A.: Technology-aided interventions and instruction for adolescents with autism spectrum disorder. J. Autism Dev. Disord. 25, 1–15 (2014)
Wang, Y., Yang, X., Zhao, Y., Liu, Y., Cuthbert, L.: Bluetooth positioning using RSSI and triangulation methods (2013)
Synnott, J., Nugent, C., Jeffers, P.: A thermal data simulation tool for the testing of novel approaches to activity recognition. In: Pecchia, L., Chen, L.L., Nugent, C., Bravo, J. (eds.) IWAAL 2014. LNCS, vol. 8868, pp. 10–13. Springer, Heidelberg (2014)
Wold, E., Blum, T., Keislar, D., Wheaten, J.: Content-based classification, search, and retrieval of audio. IEEE Multimedia 3, 27–36 (1996)
Acknowledgments
The authors gratefully acknowledge the contributions of Dr. Jonathan Synnott for his exemplary work on the thermal vision processing core used in this approach. This work received support from Invest NI under the Competence Centre Programme Grant RD0513853.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Rafferty, J., Synnott, J., Nugent, C. (2015). An Approach for Agitation Detection and Intervention in Sufferers of Autism Spectrum Disorder. In: Cleland, I., Guerrero, L., Bravo, J. (eds) Ambient Assisted Living. ICT-based Solutions in Real Life Situations. IWAAL 2015. Lecture Notes in Computer Science(), vol 9455. Springer, Cham. https://doi.org/10.1007/978-3-319-26410-3_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-26410-3_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-26409-7
Online ISBN: 978-3-319-26410-3
eBook Packages: Computer ScienceComputer Science (R0)