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http://dx.doi.org/10.17703/IJACT.2017.5.2.54

The design of the Fall detection algorithm using the smartphone accelerometer sensor  

Lee, Daepyo (Department of Information System, Kwangwoon University Graduate School of Information Contents)
Lee, Jong-Yong (Ingenium College of liberal arts, KwangWoon University)
Jung, Kye-Dong (Ingenium College of liberal arts, KwangWoon University)
Publication Information
International Journal of Advanced Culture Technology / v.5, no.2, 2017 , pp. 54-62 More about this Journal
Abstract
Currently, falling to industrial field workers is causing serious injuries. Therefore, many researchers are actively studying the fall by using acceleration sensor, gyro sensor, pressure sensor and image information.Also, as the spread of smartphones becomes common, techniques for determining the fall by using an acceleration sensor built in a smartphone are being studied. The proposed method has complexity due to fusion of various sensor data and it is still insufficient to develop practical application. Therefore, in this paper, we use acceleration sensor module built in smartphone to collect acceleration data, propose a simple falling algorithm based on accelerometer sensor data after normalization and preprocessing, and implement an Android based app.
Keywords
Smartphone; Acceleration Sensor; Fall Detection; Normalization; SVM; LPF; Android;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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