Title :
Elderly safety early-warning system based on android mobile phones
Author :
Yi-Nan Zhang ; Hong-yun Ning ; Jie Bai ; Bo-Cong Chen ; Pei-Can Zhou ; Xiang-Lin Zhao
Author_Institution :
Sch. of Comput. & Commun. Eng., Tianjin Univ. of Technol., Tianjin, China
Abstract :
In China, with sharply increasing of aged population, elderly safety issue causes more and more social attention. Elderly people living alone may be faced with accidents. In order to help them timely contact with their family members, some manufactures offer a kind of mobile phone with shortcut keys function. However many incidents remain unprepared to the elder and their families, the consequences are serious, such as sudden fall. In this paper, we designed a novel remote mobile early-warning system which set up a bridge between the old and their family members. This system can help reduce the risk. Firstly, we analyze current data push methods in android-based mobile phones, and a model with locate function and low communication is established. Then, based on the working principle of acceleration sensor, using data from acceleration sensor, a fall detection analysis and assessment models is provided, in which the fall detection judgment is given by the acceleration comparison algorithm. The location information by GPS is sending via SMS to the guardians. The multi-threading technology is adopted to monitor the elder´s real-time position and gravity status, so as to do real-time remote emergency warning to their family members. In the actual application, it shows that the method provided here is of high recognition rate for emergencies and timely early-warning. It has a high practical value. In addition, the system we designed also won the first prize of the 2013 North China College Students´ Computer Application Contest.
Keywords :
alarm systems; emergency management; geriatrics; mobile computing; multi-threading; smart phones; social sciences computing; Android mobile phones; GPS; SMS; acceleration comparison algorithm; acceleration sensor; data push methods; elder real-time position monitoring; elderly safety early-warning system; fall assessment models; fall detection analysis; gravity status; high recognition rate; multithreading technology; real-time remote emergency warning; remote mobile early-warning system; Acceleration; Global Positioning System; Monitoring; Senior citizens; Smart phones; Sociology; Statistics; Android; Early-warning System; Elderly Safety; real-time monitoring;
Conference_Titel :
Natural Computation (ICNC), 2014 10th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5150-5
DOI :
10.1109/ICNC.2014.6975999