E-FallD: A fall detection system using android-based smartphone

With the rapid growth of the population of the elderly in the world, many countries in the world have been in the aging society. Falls are a major public health concern and one of the greatest obstacles to independent living for elder adults in terms of social services. In this paper, we present a f...

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Bibliographic Details
Published in2012 9th International Conference on Fuzzy Systems and Knowledge Discovery pp. 1509 - 1513
Main Authors Yabo Cao, Yujiu Yang, WenHuang Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2012
Subjects
Acceleration
Accelerometers
adaptive threshold algorithm
Algorithm design and analysis
Android
fall detection
Heuristic algorithms
realtime processing
Senior citizens
Sensitivity
Smart phones
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ISBN9781467300254
146730025X
DOI10.1109/FSKD.2012.6234271

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Summary:With the rapid growth of the population of the elderly in the world, many countries in the world have been in the aging society. Falls are a major public health concern and one of the greatest obstacles to independent living for elder adults in terms of social services. In this paper, we present a fall detection system derived from some motion sensor via an android-based smart phone in which we utilize adaptive threshold algorithm for fall detection. Furthermore, we implement this system called E-FallD on the HTC G8 mobile phone. As demonstrated by the experimental results, E-FallD has a good detection performance and it is an efficient and smart application. In the mean time, using adaptive threshold algorithm could increase sensitivity dramatically. In a word ,our system provides a realizable, effective and portal solution to fall detection for users.
ISBN:9781467300254
146730025X
DOI:10.1109/FSKD.2012.6234271