International Journal of Intelligent Systems and Applications (IJISA)
IJISA Vol. 14, No. 4, 8 Aug. 2022
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Care4Student: An Embedded Warning System for Preventing Abuse of Primary School Students
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Author(s)
Kemal Akyol
1,*
Abdulkadir Karaci
2
Muhammed Emin Tiftikci
1
Index Terms
Child abuse, embedded system, sound recognition, school safety
Abstract
Child abuse is a social and medical problem that has negative effects on the individual development of the child and can lead to mental disorders such as depression and post-traumatic stress disorder in both short and long-term mental health. Therefore, any abuse that the child may encounter should be immediately intervened. This paper presents the design of an integrated embedded warning system that includes an embedded system module, a server-based module, and a mobile-based module as a solution to concerns of ensuring the safety of students in places where there are fewer safety measures. Our solution aims to ensure that the school management team is quickly informed about the adverse situation that primary school students may encounter and able to respond to them. In this context, this system activates the warning status when it correctly detects the phrases 'help me' and 'give it up'. Thus, any negativity that may be encountered in a closed environment is prevented. The embedded warning system detected correctly the phrase "help me" with 80%, and the phrase "give it up" with 75%.
Cite This Paper
Kemal Akyol, Abdulkadir Karacı, Muhammed Emin Tiftikçi, "Care4Student: An Embedded Warning System for Preventing Abuse of Primary School Students", International Journal of Intelligent Systems and Applications(IJISA), Vol.14, No.4, pp.1-10, 2022. DOI:10.5815/ijisa.2022.04.01
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