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Abnormal Behavior Detection Based on Smartphone Sensors

Lu, Dang Nhac and Tran, Thuy Binh and Nguyen, Duc Nhan and Nguyen, Thi Hau and Nguyen, Ha Nam (2017) Abnormal Behavior Detection Based on Smartphone Sensors. In: 3rd EAI International Conference on Nature of Computation and Communication 2017, November 2017.

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There are a lot of applications were developed to take advance of smartphone sensors for utilizing the personal services such as health-care, walk-counting, routing etc. Users behavior analysis is attracted a lot of researches in-terested with various approaches. We proposed a novel framework to detect the abnormal driving behavior using smartphone sensors. It named Abnormal Be-havior Detection System (ABDS). The system keep track the driver activities during he’s trip based on smartphone sensors. The Practice Swarm Optimiza-tion (PSO) algorithm is used to automatically select suitable features extracted from sensors data. The oriented accelerometer is used to detect activity. The abnormal behavior is collected and labeled then detection by Artificial Neural Network (ANN). The implementation shown the promising results in case of seven activities (stop, moving, acceleration, deceleration, turn left, turn right and U-turn) with 86.71% accuracy.

Item Type: Conference or Workshop Item (Paper)
Subjects: Information Technology (IT)
Divisions: Faculty of Information Technology (FIT)
Depositing User: Nguy�n Th
Date Deposited: 04 Dec 2017 09:15
Last Modified: 04 Dec 2017 09:15

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