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A Novel Algorithm for Determining the Contextual Characteristics of Movement Behaviors by Combining Accelerometer Features and Wireless Beacons: Development and Implementation

A Novel Algorithm for Determining the Contextual Characteristics of Movement Behaviors by Combining Accelerometer Features and Wireless Beacons: Development and Implementation

This model can be described using a transition matrix model in which the elements mi,j of the transition matrix model M are built as follows: mi,j= ai,j if i ≠ j; If i is a beacon in a standard room or social area: mi,j = 0.5 if i = j and the step counts estimates more than 2 steps in the last 10 s; mi,j = 2.0 if i = j and the step counts estimates 2 or less steps in the last 10 s; else mi,j = w The value of w was manipulated in increments of 0.25 from 0.25 to 1.25.

Daniele Magistro, Salvatore Sessa, Andrew P Kingsnorth, Adam Loveday, Alessandro Simeone, Massimiliano Zecca, Dale W Esliger

JMIR Mhealth Uhealth 2018;6(4):e100