Title :
iFall - a new embedded system for the detection of unexpected falls
Author :
Salomon, Ralf ; Luder, Marian ; Bieber, Gerald
Author_Institution :
Fac. of Comput. Sci. & Electr. Eng., Univ. of Rostock, Rostock, Germany
fDate :
March 29 2010-April 2 2010
Abstract :
This paper describes a new embedded system, called iFall, for the detection of unexpected falls for elderly people. In combination with a new sensors system and the monitoring of its own rotation, iFall is able to detect a fall in its very beginning. It is thus able to initiate some emergency actions, such as inflating a tiny airbag, in order to alleviate a fall´s consequences, primarily potential injuries. In that respect, iFall is unique. It´s physical properties, such as size, weight, and energy resources, make it almost invisible, so that it can be worn at any time at any occasion by any person.
Keywords :
embedded systems; geriatrics; handicapped aids; sensors; airbag; elderly people; embedded system; emergency actions; iFall; sensors system; unexpected falls detection; Acceleration; Biomedical monitoring; Computer science; Embedded system; Hardware; Injuries; Senior citizens; Sensor systems; Wearable sensors; Wrist;
Conference_Titel :
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2010 8th IEEE International Conference on
Conference_Location :
Mannheim
Print_ISBN :
978-1-4244-6605-4
Electronic_ISBN :
978-1-4244-6606-1
DOI :
10.1109/PERCOMW.2010.5470655