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Development of a Real-Time, Simple and High-Accuracy Fall Detection System for Elderly Using 3-DOF Accelerometers

Pham, Van Thanh and Tran, Duc Tan and Nguyen, Dinh Chinh and Nguyen, Duc Anh and Dang, Nhu Dinh and El-Sayed Mahmoud, El-Rabaie and Sandrasegaran, Kumbesan (2018) Development of a Real-Time, Simple and High-Accuracy Fall Detection System for Elderly Using 3-DOF Accelerometers. Arabian Journal for Science and Engineering . pp. 1-14. ISSN 2191-4281

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Falls represent a major problem for the elderly people aged 60 or above. There are many monitoring systems which are currently available to detect the fall. However, there is a great need to propose a system which is of optimal effectiveness. In this paper, we propose to develop a low-cost fall detection system to precisely detect an event when an elderly person accidentally falls. The fall detection algorithm compares the acceleration with lower fall threshold and upper fall threshold values to accurately detect a fall event. The post-fall recognition module is the combination of posture recognition and vertical velocity estimation that has been added to our proposed method to enhance the performance and accuracy. In case of a fall, our device will transmit the location information to the contacts instantly via SMS and voice call. A smartphone application will ensure that the notifications are delivered to the elderly person's relatives so that medical attention can be provided with minimal delay. The system was tested by volunteers and achieved 100% sensitivity and accuracy. This was confirmed by testing with public datasets and it also achieved the same percentage in sensitivity and accuracy as in our recorded datasets.

Item Type: Article
Subjects: Electronics and Communications > Electronics and Computer Engineering
Scopus-indexed journals
ISI-indexed journals
Divisions: Faculty of Electronics and Telecommunications (FET)
Depositing User: Assoc/Prof Duc Tan Tran
Date Deposited: 28 Aug 2018 08:35
Last Modified: 28 Aug 2018 08:35

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