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@@ -186,12 +186,12 @@ Defining a threshold $t_\text{acc}$ for acceleration (m/s$^2$) and $t_\text{baro
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\node [activity, below=0.5cm of x3, xshift=3cm](x3r){walking up};
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%
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\path [*->, line] (start) -- (x0);
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\path [line] (x0) -| (x2) node [pos=0.25] {no};
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\path [line] (x0) -| (x1) node [above, pos=0.25] {yes};
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\path [line] (x2) -| (x3) node [pos=0.25] {no};
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\path [line] (x3) -| (x3l) node [above, pos=0.25] {yes};
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\path [line] (x3) -| (x3r) node [pos=0.25] {no};
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\path [line] (x2) -| (x4) node [above, pos=0.25] {yes};
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\path [line] (x0) -| (x2) node [pos=0.25] {false};
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\path [line] (x0) -| (x1) node [above, pos=0.25] {true};
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\path [line] (x2) -| (x3) node [pos=0.25] {false};
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\path [line] (x3) -| (x3l) node [above, pos=0.25] {true};
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\path [line] (x3) -| (x3r) node [pos=0.25] {false};
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\path [line] (x2) -| (x4) node [above, pos=0.25] {true};
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\end{tikzpicture}
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\end{center}
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\caption{\add{Decision tree describing the threshold-based activity recognition using the smartphone’s
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