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Erschienen in:
Using Gesture-Based Interfaces to Control Robots Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Design of a Bullying Detection/Alert System for School-Wide Intervention

verfasst von : Sheryl Brahnam, Jenifer J. Roberts, Loris Nanni, Cathy L. Starr, Sandra L. Bailey

Erschienen in: Human-Computer Interaction: Interaction Technologies

Verlag: Springer International Publishing

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Abstract

In this paper we propose a bullying detection/alert system for school-wide intervention that combines wearables with heart rate (HR) monitors, surveillance cameras, multimodal machine learning, cloud computing, and mobile devices. The system alerts school personnel when potential bullying is detected and identifies potential bullying in three ways: (i) by tracking and assessing the proximity of known bullies to known students at risk for bullying; (ii) by monitoring stress levels of students via HR analysis; and (iii) by recognizing actions, emotions, and crowd formations associated with bullying. We describe each of these components and their integration, noting that it is possible for the system to use only a network of surveillance cameras. Alerts produced by the system can be logged. Reviews of these logs and tagged videos of detected bullying would allow school personnel to review incidents and their methods for handling bullying by providing more information about the locations, causes, and actors involved in bullying as well as teacher/staff response rates. In addition, false positives could be marked and fed back to the system for relearning and continuous improvement of the system.

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Vorheriges Kapitel A Mashup-Based Application for the Smart City Problematic
Nächstes Kapitel Improving User Performance in a Smart Surveillance Scenario through Different Levels of Automation
Fußnoten
1
Another method for reducing bullying would be to give each student known to be at risk for bullying an alarm button that could be triggered whenever the student feared an imminent bullying situation. Most portable panic buttons, however, are expensive and conspicuous. If these buttons were noticed by other students, the at-risk students carrying them could be exposed to additional ridicule.
 
Literatur
1.
Arandjelovic, O.: Crowd detection from still images. In: British Machine Vision Conference (BMVC). University of Leeds (2008)
2.
Arseneault, L., Walsh, E., Trzesniewski, K., Newcombe, R., Caspi, A., Moffitt, T.E.: Bullying victimization uniquely contributes to adjustment problems in young children: a nationally representative cohort study. Pediatrics 118, 130–138 (2006)CrossRef
3.
Atlas, R.S., Pepler, D.: Observations of bullying in the classroom. J. Educ. Res. 92(2), 86–99 (1998)CrossRef
4.
Barhight, L.R., Hubbard, J.A., Hyde, C.T.: Children’s physiological and emotional reactions to witnessing bullying predict bystander intervention. Child Dev. 84(1), 375–390 (2013)CrossRef
5.
Bettadapura, V.: Face Expression Recognition and Analysis: The State of the Art, Cornell University Library, arXiv.org (2012)
6.
Brahnam, S.B., Nanni, L.: High performance set of features for human action classification. In: International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), Las Vegas, NV, pp. 980–984 (2009)
7.
8.
Fekkes, M., Pijpers, F.I.M., Fredriks, A.M., Vogels, T., Verloove-Vanhorick, P.: Do bullied children get ill, or do ill children get bullied? A prospective cohort study on the relationship between bullying and health-related symptoms. Pediatrics 117, 1568–1574 (2006)CrossRef
9.
Hanish, L.D., Guerra, N.G.: A longitudinal analysis of patterns of adjustment following peer victimization. Dev. Psychopathol. 14, 69–89 (2002)CrossRef
10.
Hassner, T., Itcher, Y., Kliper-Gross, O.: Violent flows: real-time detection of violent crowd behavior. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 1–6 (2012)
11.
Hatzenbuehler, M.L., Keyes, K.M.: Inclusive anti-bullying policies and reduced risk of suicide attempts in lesbian and gay youth. J. Adolesc. Health 53(suppl. 1), S21–S26 (2013)CrossRef
12.
Hertz, M.F., Donato, I., Wright, J.: Bullying and suicide: a public health approach. J. Adolesc. Health 53, S1–S3 (2013)CrossRef
13.
Hoque, M.E., Picard, R.: Acted vs. natural frustration and delight: many people smile in natural frustration. In: 9th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), Santa Barbara, CA (2011)
14.
Ishii, I., Ichida, T., Gu, Q., Takaki, T.: 500-Fps face tracking system. J. Real-Time Image Process. 8(4), 379–388 (2013)CrossRef
15.
Juvonen, J., Graham, S.: Bullying in schools: the power of bullies and the plight of victims. Annu. Rev. Psychol. 65, 159–185 (2014)CrossRef
16.
Juvonen, J., Wang, Y., Espinoza, G.: Bullying experiences and compromised academic performance across middle school grades. J. Early Adolesc. 31, 152–173 (2011)CrossRef
17.
Kaltiala-Heino, R., Rimpela, M., Mamunen, M., Rimpela, A., Rantanen, P.: Bullying, depression, and suicidal ideation in finnish adolescents: school survey. Br. Med. J. 319, 348–351 (1999)CrossRef
18.
Knack, J.M., Jensen-Campbell, L.A., Baum, A.: Worse than sticks and stones? bullying is associated with altered HPA axis functioning and poorer health. Brain Cogn. 77, 183–190 (2011)CrossRef
19.
Munaro, M.B., Ghidoni, S., Tartaro, D.T., Menegatti, E.: A feature-based approach to people re-identification using skeleton keypoints. In: IEEE International Conference on Robotics and Automation, Hong Kong, China (2014)
20.
Nanni, L., Brahnam, S., Ghidoni, S., Menegatti, E.: Automated crowd detection in stadium arenas. Northeast Decision Sciences Institute 2013. New York City, pp. 536–545 (2013)
21.
Nanni, L., Munaro, M., Ghidoni, S., Menegatti, E., Brahnam, S.: Ensemble of different approaches for a reliable person re-identification system. Appl. Comput. Inform. (in press)
22.
Olweus, D.: What We Know About Bullying. Blackwell Publishers Inc., Malden (1993)
23.
Pepler, D., Jiang, D., Craig, W., Connolly, J.: Development trajectories of bullying and associated factors. Child Dev. 79(2), 325–338 (2008)CrossRef
24.
Poh, M.-Z., Mcduff, D.J., Picard, R.: Non-contact, automated cardiac pulse measurements using video imaging and blind source separation. Opt. Express 18(10), 10762–10774 (2010)CrossRef
25.
Robers, S., Zhang, J., Truman, J.: Indicators of School Crime and Safety: 2011, National Center for Education Statistics, U.S. Department of Education, and Bureau of Justice Statistics, Office of Justice Programs, U.S. Department of Justice, Washington, DC (2012)
26.
Tattum, D.: Violence and Aggression in Schools, Trentham Books, Stoke-on-Trent, pp. 7–20 (1989)
27.
U.S. Department of Justice Bureau of Justice Statistics. School Crime Supplement (Scs) to the National Crime Victimization Survey (2011)
28.
Vezzani, R., Baltieri, D., Cucchiara, R.: People re-identification in surveillance and forensics: a survey. ACM Comput. Surv. 46(2), 29:1–29:3 (2013)CrossRef
29.
Vossekuil, B., Fein, R.A., Reddy, M., Borum, R., Modzeleski, W.: The final report and findings of the safe school initiative: implications for the prevention of school attacks in the United States, Washington, DC (2002)
30.
Wang, B., Ye, M., Li, X., Zhao, F., Ding, J.: Abnormal crowd behavior detection using high-frequency and spatio-temporal features. Mach. Vis. Appl. 23(3), 501–511 (2012)CrossRef
31.
Wu, H.-Y., Rubinstein, M., Shih, E., Guttag, J., Durand, F., Freeman, W.: Eulerian video magnification for revealing subtle changes in the world. ACM Trans. Graph. (TOG) 31(4) (2012)
32.
Wurf, G.: High school anti-bullying interventions: an evaluation of curriculum approaches and the method of shared concern in four Hong Kong international schools. Aust. J. Guidance Counselling 22(1), 139–149 (2012)CrossRef
33.
Ye, L., Ferdinando, H., Seppänen, T., Seppänen, E.: Physical violence detection for preventing school bullying. Adv. Artif. Intell. 2014, ID 740358, 1–9 (2014)
Metadaten
Titel
Design of a Bullying Detection/Alert System for School-Wide Intervention
verfasst von
Sheryl Brahnam
Jenifer J. Roberts
Loris Nanni
Cathy L. Starr
Sandra L. Bailey
Copyright-Jahr
2015
Buch
Human-Computer Interaction: Interaction Technologies

Print ISBN: 978-3-319-20915-9

Electronic ISBN: 978-3-319-20916-6

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-20916-6_64

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