Detecting stereotypical motor movements in the classroom using accelerometry and pattern recognition algorithms

Pervasive and Mobile Computing

Volumn 8, Issue 1, 2012, Pages 103-114

  Albinali, Fahd ^a   Goodwin, Matthew S ^a,b   Intille, Stephen ^a,c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b Groden Network   (United States)

^c NORTHEASTERN UNIVERSITY   (United States)

Author keywords

Accelerometers; Activity recognition; Autism; Pattern recognition

Indexed keywords

ACCELEROMETERS; DISEASES; LEARNING SYSTEMS;

ACCELEROMETER DATA; ACTIVITY RECOGNITION; AUTISM; AUTISM SPECTRUM DISORDERS; CLASSIFIER TRAINING; CLASSROOM SETTINGS; PATTERN RECOGNITION ALGORITHMS; RECOGNITION ACCURACY;

PATTERN RECOGNITION;

EID: 84856105441     PISSN: 15741192     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pmcj.2011.04.006     Document Type: Article

References (27)

1. US CDC, Prevalence of autism spectrum disordersautism and developmental disabilities monitoring network, United States, 2009.
2. A.P.A. 4th ed. Diagnostic and Statistical Manual on Mental Disorders vol. IV-TR 2000 Amer. Psychiatric Publishing Washington, DC
3. A. Baumeister, R. Forehand, Stereotyped acts, in: Int'l. Rev. of Res. in Mental Retardation: VI., ed., New York, 1973, pp. 5596.
4. M.H. Lewis, and J.W. Bodfish Repetitive behavior disorders in autism Ment. Retard. Dev. Disabil. Res. Rev. 4 1998 80 89 (Pubitemid 28363002)
5. S.J. LaGrow, and A.C. Repp Stereotypic responding: a review of intervention research Am. J. Ment. Def. 88 1984 595 609 (Pubitemid 14115173)
6. G. Berkson, and R.K. Davenport Jr Stereotyped movements of mental defectives. I. Initial survey Am. J. Ment. Def. 66 1962 849 852
7. O.I. Lovaas, A. Litrownik, and R. Mann Response latencies to auditory stimuli in autistic children engaged in self-stimulatory behavior Behav. Res. Ther. 9 1971 39 49
8. R.S. Jones, D. Wint, and N.C. Ellis The social effects of stereotyped behaviour J. Ment. Defic. Res. 34 1990 261 268 (Pubitemid 20336633)
9. C.H. Kennedy Evolution of stereotypy into self-injury Self-Injurious Behavior: GeneBrainBehavior Relationships 2002 Amer. Psych. Assoc. Washington, DC 133 143
10. R.L. Sprague, and K.M.E. Newell Stereotyped Movements: Brain and Behavior Relationships 1996 Amer. Psych. Assoc. Washington, DC
11. D.A. Pyles, M.M. Riordan, and J.S. Bailey The stereotypy analysis: an instrument for examining environmental variables associated with differential rates of stereotypic behavior Res. Dev. Disabil. 18 1997 11 38 (Pubitemid 27146974)
12. J.A. Kientz, G.R. Hayes, T.L. Westeyn, T. Starner, and G.D. Abowd Pervasive computing and autism: assisting caregivers of children with special needs IEEE Pervasive Comput. 6 1 2007 28 35 (Pubitemid 46384587)
13. L. Bao, S.S. Intille, Activity recognition from user-annotated acceleration data, in: Proc. of PERVASIVE, 2004, pp. 117.
14. J. Lester, T. Choudhury, N. Kern, G. Borriello, B. Hannaford, A hybrid discriminative/generative approach for modeling human activities, in: Proc. of IJCAI, 2005, pp. 766722.
15. P. Lukowicz, J.A. Ward, H. Junker, M. Stager, G. Troster, A. Atrash, T. Starner, Recognizing workshop activity using body worn microphone and accelerometers, in: Proc. of PerCom, 2004, pp. 1832.
16. L. von Ahn, L. Dabbish, Labeling images with a computer game, in: ACM Conference on Human Factors in Computing Systems, CHI 2004, 2004.
17. L. von Ahn, M. Kedia, M. Blum, Verbosity: a game for collecting common-sense knowledge, in: ACM Conference on Human Factors in Computing Systems, CHI Notes 2006, 2006.
18. R. Snow, B. O'Connor, D. Jurafsky, A. Ng, Cheap and fastbut is it good? Evaluating non-expert annotations for natural language tasks, in: The Proceedings of EMNLP-08, January 2008.
19. Aniket Kittur, Crowdsourcing user studies with mechanical turk, in: H. Chi and Bongwon Suh (Eds.), Proc. of CHI, 2008, pp. 453456.
20. F. Albinali, M. Goodwin, S. Intille, Recognizing stereotypical motor movements in the laboratory and classroom: a case study with children on the autism spectrum, in: Ubicomp 2009.
21. T. Westeyn, K. Vadas, X. Bian, T. Starner, G.D. Abowd, Recognizing mimicked autistic self-stimulatory behaviors using HMMs, in: Proc. of ISWC, 2005, pp. 164169.
22. J.W. Bodfish, F.J. Symons, D.E. Parker, and M.H. Lewis Varieties of repetitive behavior in autism: comparisons to mental retardation J. Autism. Dev. Disord. 30 2000 237 243
23. E. Munguia Tapia, S.S. Intille, L. Lopez, K. Larson, The design of a portable kit of wireless sensors for naturalistic data collection, in: Proc. of PERVASIVE, 2006, pp. 117134. (Pubitemid 44055061)
24. The Wockets Project, Wockets: open source accelerometers for phones. http://web.mit.edu/wockets/ (accessed on: 15.01.10).
25. J.R. Quinlan C4.5: Programs for Machine Learning 1993 Morgan Kaufmann Publishers San Mateo, California
26. Rulequest research, See5/C5.0. http://www.rulequest.com/ (accessed on: 10.12.10).
27. I.H. Witten, and E. Frank Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations 1999 Morgan Kaufmann San Francisco, CA