Title |
System for Detection of Emergency Situations in Smart City Environments Employing Smartphones |
ID_Doc |
36529 |
Authors |
García, L; Parra, L; Taha, M; Lloret, J |
Title |
System for Detection of Emergency Situations in Smart City Environments Employing Smartphones |
Year |
2018 |
Published |
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DOI |
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Abstract |
The early detection of emergency situations is important to avoid further damages. In a smart city, where everyone wears a smartphone, the data from the smartphone can be used to detect those situations. In this paper, we present a system to detect emergency situations using the data from the smartphones. It is a collaborative system that compares the data from different users to detect changes in the behavior patterns. We evaluate the use of different data from the smartphones as accelerometer, GPS, sound sensor, light sensors, etc. The system uses the data from the accelerometers from the smartphones to detect if the user is walking, running, falling or quiet in the floor. In order to save energy, different algorithms are proposed to decide when to send the data. The data is send to a database and there, a second algorithm is used to identify abnormal situations. In case that an abnormal situation is detected, the emergency center will receive and alarm. We present some real test performed employing smartphones simulating different behaviors. The possibility to identify different behaviors with the gathered data is shown. We also set the thresholds to identify walking, running, falling and remaining in the floor behavior. |
Author Keywords |
Emergency detection; Smart City; accelerometer; GPS; smartphone |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
EID |
WOS:000455682100044 |
WoS Category |
Computer Science, Theory & Methods; Engineering, Electrical & Electronic; Telecommunications |
Research Area |
Computer Science; Engineering; Telecommunications |
PDF |
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