Abstract:
Population aging has become a worldwide problem. Fall accidents are considered as one of the major health risks, especially for elderly people. Fall detection devices are...Show MoreMetadata
Abstract:
Population aging has become a worldwide problem. Fall accidents are considered as one of the major health risks, especially for elderly people. Fall detection devices are the key to distinguish a fall from daily activities, automatically alert when a fall occurred and significantly decrease the time of rescue when the monitored patient falls down. The proposed prototype is composed of a tri-axial accelerometer communicating to a Zybo board through Inter-Integrated Circuit (I2C) interface. A threshold-based algorithm has been implemented based on peaks acceleration detection and inactivity posture recognition after falling and executed as a standalone application on a Zynq Z-7010 Field Programmable Gate Array (FPGA). This first implementation using Vivado and Xilinx SDK showed prominent results in terms of power consumption and time of execution.
Published in: 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)
Date of Conference: 29 November 2016 - 02 December 2016
Date Added to IEEE Xplore: 12 June 2017
ISBN Information:
Electronic ISSN: 2161-5330