Title :
Automatic Fall Detection Using Mobile Devices
Author :
Mulcahy, Melissa K. ; Kurkovsky, Stan
Author_Institution :
Dept. of Comput. Sci., Central Connecticut State Univ., New Britain, CT, USA
Abstract :
Mobile devices are becoming an integrated part of every person´s lives regardless of age. This paper discusses the methodology behind developing an application for mobile devices that can determine if a person has fallen. The results of the experiments demonstrate promising hands-free responses to the smartphone user falling as compared to other systems like Life Alert®.
Keywords :
health care; mobile computing; smart phones; user interfaces; automatic fall detection; hands-free responses; mobile devices; smartphone user falling; Acceleration; Accelerometers; Accidents; Floors; Injuries; Mobile handsets; Vehicles; Android; accelerometers; algorithms;
Conference_Titel :
Information Technology - New Generations (ITNG), 2015 12th International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-8827-3
DOI :
10.1109/ITNG.2015.98
