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

  • Sheryl Brahnam
  • Jenifer J. Roberts
  • Loris Nanni
  • Cathy L. Starr
  • Sandra L. Bailey
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9170)


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.


School bullying Machine learning Heart-rate monitoring Face tracking Emotion classification Action classification Computer technology 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Sheryl Brahnam
    • 1
  • Jenifer J. Roberts
    • 2
  • Loris Nanni
    • 3
  • Cathy L. Starr
    • 2
  • Sandra L. Bailey
    • 2
  1. 1.Computer Information SystemsMissouri State UniversitySpringfieldUSA
  2. 2.Fashion and Interior DesignMissouri State UniversitySpringfieldUSA
  3. 3.DEIUniversity of PaduaPaduaItaly

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