Abstract | ||
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Intelligent ambient assisted living systems for elderly and handicapped people become affordable with the recent advances in computer and sensor technologies. In this paper, fall detection algorithm using multiple passive infrared sensors is developed. As a novel method for detecting a falling person, two passive infrared sensors are used concurrently in a room and developed a determination algorithm depending on the height at which the falling event is happened. Motionles detection system is integrated with the falling person detection system to provide a complete solution. Detection algorithms are implemented using embedded microprocessors. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1109/SIU.2013.6531531 | Signal Processing and Communications Applications Conference |
Keywords | Field | DocType |
ambient intelligence,assisted living,biosensors,geriatrics,handicapped aids,infrared detectors,microprocessor chips,telemedicine,PIR sensor,ambient assisted smart home design vibration,elderly,embedded microprocessor,fall detection algorithm,falling person detection system,handicapped people,intelligent ambient assisted living system,motionles detection system,multiple passive infrared sensor,PIR sensor,embedded systems,falling person detection,motionless detection,vibration sensor | Computer vision,Ambient intelligence,Computer science,Real-time computing,Home automation,Person detection,Artificial intelligence,Vibration,Embedded system | Conference |
ISSN | ISBN | Citations |
2165-0608 | 978-1-4673-5561-2 | 3 |
PageRank | References | Authors |
0.43 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ahmet Yazar | 1 | 15 | 3.49 |
A. Enis Çetin | 2 | 871 | 118.56 |