A Novel Fall Prediction System on Smartphones

The elderly person's life is almost full of hazards. Especially, the fall risk is one of the problems caused by the elderly and the people using prostheses. This paper aims to develop a fall prediction system on smartphones. The proposed App system can record users' gait data sets with whi...

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Bibliographic Details
Published in:IEEE sensors journal 2017-03, Vol.17 (6), p.1865-1871
Main Authors: Rong-Kuan Shen, Cheng-Ying Yang, Shen, Victor R. L., Wei-Cheng Chen
Format: Article
Language:English
Subjects:
Accelerometers
Fall prediction
G-sensor
high-level fuzzy Petri net
homecare
Legged locomotion
Petri nets
Senior citizens
Sensors
Smart phones
smartphone
Smartphones
Support vector machines
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Summary:The elderly person's life is almost full of hazards. Especially, the fall risk is one of the problems caused by the elderly and the people using prostheses. This paper aims to develop a fall prediction system on smartphones. The proposed App system can record users' gait data sets with which their gait statuses regarding stability and symmetry are analyzed. A high-level fuzzy Petri net model is used to identify the human's actions, including normal action, sport, and fall risk. The experimental results indicate that there are high successful predictions obtained by the proposed App system. Thus, it can easily increase the fall risk prevention.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2016.2598524