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Enabling Noninvasive Physical Assault Monitoring in Smart School with Commercial Wi-Fi Devices
المؤلفون المشاركون
Yang, Qiliang
Zhao, Shuo
Zhou, Qizhen
Wu, Chenshu
Xing, Jianchun
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-04-01
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Monitoring physical assault is critical for the prevention of juvenile delinquency and promotion of school harmony.
A large portion of assault events, particularly school violence among teenagers, usually happen at indoor secluded places.
Pioneering approaches employ always-on-body sensors or cameras in the limited surveillance area, which are privacy-invasive and cannot provide ubiquitous assault monitoring.
In this paper, we present Wi-Dog, a noninvasive physical assault monitoring scheme that enables privacy-preserving monitoring in ubiquitous circumstances.
Wi-Dog is based on widely deployed commodity Wi-Fi infrastructures.
The key intuition is that Wi-Fi signals are easily distorted by human motions, and motion-induced signals could convey informative characteristics, such as intensity, regularity, and continuity.
Specifically, to explicitly reveal the substantive properties of physical assault, we innovatively propose a set of signal processing methods for informative components extraction by selecting sensitive antenna pairs and subcarriers.
Then a novel signal-complexity-based segmentation method is developed as a location-independent indicator to monitor targeted movement transitions.
Finally, holistic analysis is employed based on domain knowledge, and we distinguish the violence process from both local and global perspective using time-frequency features.
We implement Wi-Dog on commercial Wi-Fi devices and evaluate it in real indoor environments.
Experimental results demonstrate the effectiveness of Wi-Dog which consistently outperforms the advanced abnormal detection methods with a higher true detection rate of 94% and a lower false alarm rate of 8%.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhou, Qizhen& Wu, Chenshu& Xing, Jianchun& Zhao, Shuo& Yang, Qiliang. 2019. Enabling Noninvasive Physical Assault Monitoring in Smart School with Commercial Wi-Fi Devices. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1212284
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhou, Qizhen…[et al.]. Enabling Noninvasive Physical Assault Monitoring in Smart School with Commercial Wi-Fi Devices. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1212284
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhou, Qizhen& Wu, Chenshu& Xing, Jianchun& Zhao, Shuo& Yang, Qiliang. Enabling Noninvasive Physical Assault Monitoring in Smart School with Commercial Wi-Fi Devices. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1212284
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1212284
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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