Implementation of wireless sensor network based human fall detection system

The paper presents wireless sensor architecture based human fall detection system especially for elderly people. The human fall detection system is implemented using two wireless network architectures, namely cross bow wireless sensor node system and PIC18LF4620 wireless module. The fall detection mechanism is conceived with two sensors including tri-axis accelerometer and Passive Infrared (PIR) sensor which are interfaced to monitor the activity of elderly people. The resultant voltage changes because of human activities are the targeted interest which is detected by both sensors. The real time output is compared with stored templates and the computational analysis is done within microcontroller at site itself. Any abnormality from stored templates is informed to the caretaker through wireless architecture.

[1]  Tae-Seong Kim,et al.  Real-Time Recognition of Daily Human Activities Using a Single Tri-Axial Accelerometer , 2010, 2010 5th International Conference on Embedded and Multimedia Computing.

[2]  M. Alwan,et al.  A Smart and Passive Floor-Vibration Based Fall Detector for Elderly , 2006, 2006 2nd International Conference on Information & Communication Technologies.

[3]  Youngbum Lee,et al.  Implementation of Accelerometer Sensor Module and Fall Detection Monitoring System based on Wireless Sensor Network , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  Israel Gannot,et al.  Fall detection of elderly through floor vibrations and sound , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.