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http://dx.doi.org/10.6109/jkiice.2015.19.2.336

Detection of Fall Direction using a Velocity Vector in the Android Smartphone Environment  

Lee, Woosik (Department of Computer Science, University of Nebraska at Omaha)
Song, Teuk Seob (Division of Convergence Computer and Media, Mokwon University)
Youn, Jong-Hoon (Department of Computer Science, University of Nebraska at Omaha)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.2, 2015 , pp. 336-342 More about this Journal
Abstract
Fall-related injuries are the most common cause of accidental death for the elderly and the most frequent work-related injuries in construction sites. Due to the growing popularity of smartphones, there has been a number of research work related to the use of sensors embedded in the smartphone for fall detection. Falls can be detected easily by measuring the magnitude and direction of acceleration vectors. In general, the direction of the acceleration vector does not show the object movement, but the velocity vector directly indicates the tangential direction in which the object is moving. In this paper, we proposed a new method for computing the fall direction based on the characteristics of the velocity vector extracted from the accelerometer.
Keywords
Falling Detection; Android; Acceleration Vector; Velocity Vector;
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