TY  - JOUR
PY  - 2008//
TI  - Fall detection of elderly through floor vibrations and sound
JO  - Conference proceedings - IEEE engineering in medicine and biology society
A1  - Litvak, Dima
A1  - Zigel, Yaniv
A1  - Gannot, Israel
SP  - 4632
EP  - 4635
VL  - 1
IS  - 
N2  - Falls are very prevalent among the elderly especially in their home. The statistics show that approximately one in every three adults 65 years old or older falls each year. Almost 30% of those falls result in serious injuries. Studies have shown that the medical outcome of a fall is largely dependent upon the response and rescue time. Therefore, reliable and immediate fall detection system is important so that adequate medical support could be delivered. We have developed a unique and inexpensive solution that does not require subjects to wear anything. The solution is based on floor vibration and acoustic sensing, and uses a pattern recognition algorithm to discriminate between human or inanimate object fall events. Using the proposed system we can detect human falls with a sensitivity of 95% and specificity of 95%.<p />  <p>Language: en</p>
LA  - en
SN  - 1557-170X
UR  - http://dx.doi.org/
ID  - ref1
ER  -