Step count algorithm in R is double-counting some peaks, is there code I can include to prevent this? [closed]

I have been using a threshold-based step count code in RStudio sourced from Ducharme et al. 2021 “A transparent method for step detection using an acceleration threshold” to count steps in my accelerometer data. The code works to count steps as intended, but occasionally it will double count a step peak in the data. In the image below, you can see the third and tenth step have been double counted, causing the code to count 12 steps instead of the correct 10.

Frequency of step count graph

I’m using the z-axis data to smooth and count steps, here is a a minute’s worth of the data represented in the photo:

structure(list(z_only = c(-0.238, -0.234, -0.227, -0.219, -0.207, 
-0.203, -0.207, -0.203, -0.207, -0.203, -0.203, -0.211, -0.211, 
-0.211, -0.211, -0.215, -0.219, -0.215, -0.203, -0.211, -0.207, 
-0.211, -0.219, -0.211, -0.215, -0.215, -0.211, -0.215, -0.207, 
-0.199, -0.195, -0.191, -0.188, -0.195, -0.207, -0.211, -0.215, 
-0.211, -0.211, -0.203, -0.199, -0.199, -0.195, -0.195, -0.191, 
-0.191, -0.195, -0.191, -0.191, -0.195, -0.195, -0.195, -0.191, 
-0.191, -0.191, -0.191, -0.188, -0.191, -0.188, -0.184, -0.184, 
-0.184, -0.184, -0.184, -0.188, -0.195, -0.195, -0.195, -0.188, 
-0.172, -0.172, -0.164, -0.156, -0.148, -0.148, -0.148, -0.145, 
-0.148, -0.152, -0.156, -0.16, -0.156, -0.16, -0.16, -0.16, -0.164, 
-0.16, -0.156, -0.145, -0.148, -0.148, -0.152, -0.16, -0.168, 
-0.176, -0.18, -0.176, -0.172, -0.172, -0.164, -0.16, -0.16, 
-0.148, -0.145, -0.145, -0.141, -0.145, -0.152, -0.148, -0.152, 
-0.148, -0.145, -0.145, -0.145, -0.133, -0.141, -0.137, -0.137, 
-0.145, -0.145, -0.141, -0.137, -0.137, -0.129, -0.129, -0.133, 
-0.137, -0.133, -0.129, -0.117, -0.109, -0.102, -0.098, -0.086, 
-0.082, -0.078, -0.078, -0.078, -0.078, -0.074, -0.078, -0.078, 
-0.082, -0.09, -0.09, -0.078, -0.082, -0.074, -0.07, -0.07, -0.066, 
-0.066, -0.066, -0.07, -0.074, -0.07, -0.074, -0.082, -0.078, 
-0.078, -0.074, -0.066, -0.063, -0.063, -0.063, -0.059, -0.055, 
-0.059, -0.059, -0.055, -0.059, -0.059, -0.055, -0.063, -0.063, 
-0.059, -0.055, -0.063, -0.059, -0.055, -0.059, -0.059, -0.055, 
-0.059, -0.059, -0.063, -0.063, -0.066, -0.063, -0.055, -0.047, 
-0.043, -0.035, -0.027, -0.023, -0.012, -0.008, -0.02, -0.02, 
-0.02, -0.023, -0.023, -0.027, -0.023, -0.027, -0.027, -0.027, 
-0.027, -0.023, -0.02, -0.023, -0.02, -0.02, -0.023, -0.023, 
-0.027, -0.027, -0.027, -0.027, -0.023, -0.027, -0.027, -0.012, 
-0.004, 0, 0.008, 0.012, 0.008, 0.004, 0, -0.004, 0.004, 0, -0.004, 
-0.004, -0.008, -0.004, -0.004, -0.004, -0.008, -0.016, -0.016, 
-0.02, -0.02, -0.016, -0.004, -0.004, 0, 0.004, 0.008, 0.008, 
0.016, 0.02, 0.023, 0.02, 0.02, 0.02, 0.016, 0.016, 0.016, 0.012, 
0.008, 0.008, 0.008, 0.008, 0.008, 0.012, 0.008, 0.012, 0.016, 
0.02, 0.023, 0.016, 0.02, 0.02, 0.02, 0.023, 0.023, 0.02, 0.027, 
0.027, 0.035, 0.031, 0.043, 0.043, 0.051, 0.043, 0.059, 0.055, 
0.055, 0.051, 0.047, 0.047, 0.039, 0.039, 0.039, 0.035, 0.031, 
0.031, 0.035, 0.035, 0.035, 0.043, 0.043, 0.043, 0.043, 0.043, 
0.039, 0.043, 0.039, 0.035, 0.043, 0.051, 0.043, 0.055, 0.051, 
0.066, 0.066, 0.07, 0.07, 0.066, 0.063, 0.059, 0.063, 0.063, 
0.07, 0.07, 0.074, 0.074, 0.07, 0.063, 0.063, 0.063, 0.063, 0.066, 
0.066, 0.051, 0.051, 0.059, 0.051, 0.051, 0.047, 0.051, 0.043, 
0.043, 0.039, 0.039, 0.039, 0.051, 0.043, 0.047, 0.043, 0.043, 
0.039, 0.031, 0.027, 0.031, 0.035, 0.035, 0.035, 0.039, 0.031, 
0.031, 0.035, 0.027, 0.031, 0.027, 0.031, 0.035, 0.035, 0.039, 
0.047, 0.043, 0.039, 0.039, 0.039, 0.027, 0.027, 0.031, 0.035, 
0.035, 0.023, 0.027, 0.027, 0.023, 0.02, 0.02, 0.023, 0.02, 0.016, 
0.016, 0.02, 0.023, 0.035, 0.027, 0.027, 0.023, 0.02, 0.023, 
0.012, 0.004, 0, -0.004, -0.008, 0, 0.004, 0.004, 0, -0.004, 
-0.012, -0.016, -0.02, -0.02, -0.012, 0, 0.004, 0.012, 0.012, 
0.008, 0.008, 0.004, 0.004, 0.008, 0.004, -0.004, -0.016, -0.023, 
-0.023, -0.023, -0.027, -0.016, -0.02, -0.02, -0.023, -0.023, 
-0.023, -0.012, -0.016, -0.016, -0.016, -0.02, -0.023, -0.023, 
-0.016, -0.027, -0.023, -0.023, -0.02, -0.023, -0.023, -0.027, 
-0.023, -0.023, -0.02, -0.012, -0.016, -0.02, -0.023, -0.027, 
-0.016, -0.023, -0.031, -0.004, -0.012, 0.008, 0.004, 0.004, 
0.008, 0, 0.012, 0, 0, -0.004, -0.008, -0.008, -0.008, -0.008, 
-0.008, -0.008, -0.008, -0.012, -0.008, 0, 0.008, 0.008, 0.004, 
0.004, 0, -0.016, -0.02, -0.02, -0.016, -0.02, -0.004, 0, -0.004, 
0, 0, -0.004, -0.008, -0.012, -0.012, -0.004, -0.004, -0.012, 
0.008, 0.008, 0.004, 0.004, 0, -0.008, 0, 0, 0, -0.008, 0.004, 
-0.008, 0, 0.004, 0, 0, -0.008, -0.012, -0.012, -0.016, -0.02, 
-0.016, -0.02, -0.023, 0.004, 0.004, 0.008, 0.012, 0.008, 0.004, 
-0.008, -0.016, -0.008, -0.008, 0, -0.004, -0.008, 0, -0.004, 
0, -0.004, 0.012, 0.016, 0.004, 0.012, 0.012, 0.008, 0.004, 0, 
-0.008, -0.016, -0.02, -0.023, -0.027, -0.02, -0.008, 0, 0, 0.008, 
0.02, 0.027, 0.016, 0.012, 0.02, 0.02, 0.016, 0.012, 0.008, 0.008, 
0.008, 0.02, 0.008, 0.023, 0.016, 0.016, -0.008, -0.008, 0.004, 
0.008, 0.031, 0.051, 0.09, 0.109, 0.121, 0.121, 0.133, 0.152, 
0.152, 0.16, 0.156, 0.164, 0.156, 0.156, 0.133, 0.078, 0.039, 
-0.027, -0.059, -0.09, 0, 0.363, 1.277, 0.988, 1.074, 1.059, 
0.906, 0.695, 0.727, 0.469, 0.152, 0.113, 0.27, 0.676, 1.086, 
1.531, 1.77, 2.055, 0.875, -1.512, 0.406, 0.652, -0.516, 0.168, 
0, 0.02, -0.012, -0.008, -0.023, -0.031, -0.125, -0.223, -0.262, 
-0.262, -0.262, -0.266, -0.266, -0.242, -0.23, -0.223, -0.215, 
-0.215, -0.219, -0.207, -0.242, -0.25, -0.258, -0.262, -0.254, 
-0.242, -0.277, -0.273, -0.27, -0.266, -0.266, -0.262, -0.25, 
-0.246, -0.246, -0.238, -0.262, -0.273, -0.27, -0.266, -0.262, 
-0.258, -0.254, -0.246, -0.238, -0.234, -0.234, -0.23, -0.234, 
-0.234, -0.238, -0.238, -0.242, -0.234, -0.23, -0.23, -0.23, 
-0.23, -0.215, -0.234, -0.223, -0.23, -0.23, -0.227, -0.223, 
-0.219, -0.219, -0.223, -0.223, -0.23, -0.227, -0.227, -0.219, 
-0.207, -0.203, -0.195, -0.191, -0.191, -0.191, -0.191, -0.188, 
-0.195, -0.199, -0.199, -0.203, -0.195, -0.195, -0.199, -0.195, 
-0.195, -0.191, -0.191, -0.184, -0.184, -0.176, -0.18, -0.172, 
-0.172, -0.176, -0.184, -0.18, -0.176, -0.168, -0.16, -0.16, 
-0.156, -0.152, -0.141, -0.137, -0.133, -0.129, -0.133, -0.129, 
-0.129, -0.129, -0.133, -0.137, -0.137, -0.137, -0.141, -0.141, 
-0.145, -0.141, -0.137, -0.137, -0.133, -0.129, -0.129, -0.129, 
-0.129, -0.133, -0.129, -0.125, -0.125, -0.117, -0.117, -0.117, 
-0.117, -0.113, -0.109, -0.113, -0.113, -0.109, -0.109, -0.113, 
-0.113, -0.109, -0.109, -0.105, -0.102, -0.102, -0.098, -0.098, 
-0.098, -0.094, -0.094, -0.098, -0.109, -0.121, -0.129, -0.133, 
-0.133, -0.133, -0.129, -0.129, -0.117, -0.113, -0.094, -0.094, 
-0.09, -0.086, -0.086, -0.094, -0.102, -0.105, -0.113, -0.121, 
-0.125, -0.109, -0.109, -0.102, -0.102, -0.105, -0.098, -0.098, 
-0.098, -0.094, -0.086, -0.09, -0.082, -0.082, -0.086, -0.094, 
-0.094, -0.098, -0.098, -0.098, -0.094, -0.094, -0.09, -0.094, 
-0.094, -0.09, -0.074, -0.078, -0.07, -0.07, -0.063, -0.063, 
-0.059, -0.059, -0.059, -0.059, -0.055, -0.063, -0.063, -0.055, 
-0.059, -0.059, -0.063, -0.066, -0.063, -0.07, -0.066, -0.063, 
-0.063, -0.066, -0.07, -0.078, -0.082, -0.082, -0.086, -0.074, 
-0.07, -0.059, -0.063, -0.066, -0.051, -0.043, -0.039, -0.031, 
-0.023, -0.023, 0.012, -0.016, 0.012, -0.012, 0.012, 0, -0.004, 
-0.004, -0.004, -0.004, -0.008, 0.004, 0, 0.02, 0.012, 0.027, 
0.02, 0.023, 0.004, 0.008, 0.02, 0.004, 0.023, 0.023, 0.051, 
0.063, 0.07, 0.078, 0.082, 0.086, 0.098, 0.098, 0.094, 0.098, 
0.094, 0.105, 0.098, 0.098, 0.094, 0.078, 0.094, 0.117, 0.113, 
0.121, 0.137, 0.148, 0.148, 0.164, 0.172, 0.164, 0.148, 0.137, 
0.133, 0.129, 0.121, 0.105, 0.129, 0.16, 0.18, 0.18, 0.219, 0.234, 
0.25, 0.258, 0.258, 0.262, 0.254, 0.25, 0.238, 0.246, 0.242, 
0.246, 0.258, 0.254, 0.277, 0.297, 0.313, 0.313, 0.313, 0.305, 
0.301, 0.289, 0.277, 0.277, 0.273, 0.27, 0.273, 0.281, 0.297, 
0.309, 0.332, 0.332, 0.344, 0.352, 0.363, 0.371, 0.352, 0.348, 
0.348, 0.344, 0.344, 0.344, 0.34, 0.34, 0.332, 0.324, 0.297, 
0.297, 0.305, 0.293, 0.258, 0.211, 0.219, 0.441, 0.516, 0.797, 
0.883, 0.98, 0.949, 1.129, 0.91, 0.902, 0.809, 0.703, 0.754, 
0.793, 0.422, 0.43, 1.035, 1.371, 1.344, 1.535, 2.086, 1.816, 
-0.418, -0.445, 0.766, 0.035, -0.266, 0.117, 0.02, -0.063, -0.074, 
-0.105, -0.109, -0.094, -0.09, -0.07, -0.07, -0.063, -0.07, -0.063, 
-0.066, -0.082, -0.133, -0.172, -0.23, -0.266, -0.273, -0.266, 
-0.266, -0.266, -0.254, -0.234, -0.223, -0.238, -0.242, -0.25, 
-0.238, -0.262, -0.258, -0.262, -0.262, -0.254, -0.242, -0.23, 
-0.223, -0.215, -0.207, -0.223, -0.238, -0.242, -0.238, -0.234, 
-0.246, -0.254, -0.242, -0.234, -0.234, -0.246, -0.242, -0.238, 
-0.242, -0.246, -0.246, -0.25, -0.246, -0.246, -0.234, -0.234, 
-0.23, -0.23, -0.234, -0.227, -0.23, -0.23, -0.234, -0.238, -0.234, 
-0.238, -0.246, -0.246, -0.246, -0.242, -0.238, -0.246, -0.211, 
-0.25, -0.266, -0.246, -0.246, -0.242, -0.238, -0.246, -0.254, 
-0.25, -0.254, -0.238, -0.262, -0.254, -0.25, -0.246, -0.238, 
-0.238, -0.234, -0.23, -0.23, -0.23, -0.234, -0.234, -0.23, -0.227, 
-0.219, -0.227, -0.23, -0.223, -0.219, -0.215, -0.211, -0.211, 
-0.215, -0.211, -0.211, -0.203, -0.195, -0.199, -0.188, -0.195, 
-0.195, -0.191, -0.191, -0.195, -0.191, -0.18, -0.18, -0.176, 
-0.172, -0.172, -0.168, -0.172, -0.176, -0.172, -0.168, -0.164, 
-0.176, -0.168, -0.168, -0.164, -0.164, -0.156, -0.152, -0.152, 
-0.145, -0.148, -0.148, -0.145, -0.145, -0.148, -0.145, -0.141, 
-0.145, -0.145, -0.141, -0.141, -0.137, -0.141, -0.141, -0.141, 
-0.133, -0.137, -0.137, -0.133, -0.137, -0.137, -0.133, -0.137, 
-0.133, -0.133, -0.133, -0.141, -0.133, -0.133, -0.133, -0.129, 
-0.129, -0.129, -0.129, -0.125, -0.125, -0.129, -0.129, -0.129, 
-0.125, -0.125, -0.117, -0.121, -0.121, -0.117, -0.113, -0.109, 
-0.113, -0.105, -0.105, -0.109, -0.102, -0.109, -0.105, -0.102, 
-0.105, -0.102, -0.098, -0.102, -0.098, -0.098, -0.098, -0.102, 
-0.109, -0.109, -0.105, -0.109, -0.109, -0.109, -0.105, -0.105, 
-0.102, -0.105, -0.102, -0.105, -0.109, -0.121, -0.113, -0.121, 
-0.117, -0.113, -0.109, -0.109, -0.102, -0.098, -0.098, -0.094, 
-0.094, -0.094, -0.098, -0.098, -0.102, -0.102, -0.109, -0.105, 
-0.105, -0.105, -0.102, -0.105, -0.102, -0.094, -0.09, -0.09, 
-0.086, -0.09, -0.094, -0.098, -0.098, -0.102, -0.094, -0.09, 
-0.078, -0.07, -0.07, -0.066, -0.07, -0.07, -0.066, -0.066, -0.066, 
-0.066, -0.063, -0.066, -0.066, -0.063, -0.063, -0.059, -0.055, 
-0.047, -0.051, -0.059, -0.066, -0.078, -0.086, -0.094, -0.094, 
-0.082, -0.066, -0.043, -0.031, -0.02, -0.012, -0.012, -0.02, 
-0.02, -0.027, -0.039, -0.051, -0.059, -0.063, -0.07, -0.066, 
-0.07, -0.066, -0.059, -0.055, -0.043, -0.027, -0.02, -0.023, 
-0.016, -0.027, -0.035, -0.039, -0.039, -0.039, -0.039, -0.023, 
-0.035, -0.027, -0.027, -0.012, -0.023, 0, -0.016, 0.016, 0, 
0.016, 0, 0.02, 0.008, 0.023, 0.027, 0.035, 0.023, 0.047, 0.043, 
0.043, 0.039, 0.047, 0.051, 0.043, 0.043, 0.055, 0.043, 0.039, 
0.039, 0.035, 0.055, 0.063, 0.07, 0.082, 0.078, 0.102, 0.105, 
0.117, 0.121, 0.129, 0.137, 0.145, 0.168, 0.16, 0.18, 0.168, 
0.18, 0.172, 0.18, 0.18, 0.184, 0.18, 0.199, 0.215, 0.23, 0.242, 
0.262, 0.254, 0.273, 0.266, 0.262, 0.254, 0.25, 0.254, 0.242, 
0.242, 0.246, 0.234, 0.246, 0.238, 0.258, 0.262, 0.27, 0.277, 
0.355, 0.328, 0.359, 0.387, 0.367, 0.336, 0.301, 0.336, 0.754, 
0.539, 0.926, 1.121, 1.637, 1.355, 1.254, 1.211, 1.004, 1.172, 
1.031, 1.02, 1.035, 0.832, 0.574, 0.703, 1.164, 1.523, 1.359, 
1.035, 0.711, 0.992, 1.375, 1.402, 1.645, 0.91, -0.57, -0.453, 
1.035, 0.465, -0.227, 0.25, 0.184, -0.043, -0.02, 0.008, -0.027, 
0.012, 0.02, 0.023, 0.016, -0.012, -0.277, -0.605, -0.355, -0.25, 
-0.266, -0.254, -0.234, -0.215, -0.203, -0.195, -0.199, -0.207, 
-0.207, -0.199, -0.207, -0.23, -0.215, -0.215, -0.207, -0.188, 
-0.176, -0.164, -0.156, -0.148, -0.129, -0.129, -0.121, -0.105, 
-0.043, -0.102, -0.156, -0.156, -0.176, -0.176, -0.172, -0.148, 
-0.125, -0.082, -0.043, -0.027, -0.031, -0.027, -0.047, -0.059, 
-0.055, -0.059, -0.043, -0.02, -0.004, 0.02, 0.027, 0.039, 0.031, 
0.055, 0.055, 0.098, 0.145, 0.164, 0.199, 0.191, 0.238, 0.191, 
0.246, 0.207, 0.129, 0.438, 0.637, 0.762, 0.949, 1.406, 1.113, 
1.121, 1.266, 0.996, 1.09, 1.191, 1.191, 1.285, 1.215, 0.969, 
0.805, 0.945, 1.477, 1.48, 1.379, 1.34, 1.652, 1.637, 1.363, 
-0.172, -0.234, 0.684, -0.195, -0.363, -0.234, -0.32, -0.223, 
-0.18, -0.203, -0.309, -0.34, -0.191, -0.172, -0.285, -0.258, 
-0.23, -0.23, -0.215, -0.207, -0.203, -0.184, -0.129, -0.16, 
-0.215, -0.211, -0.203, -0.195, -0.195, -0.172, -0.137, -0.102, 
-0.051, -0.008, 0.008, 0.031, 0.035, 0.086, 0.109, 0.121, 0.113, 
0.113, 0.156, 0.18, 0.168, 0.199, 0.246, 0.242, 0.246, 0.387, 
0.441, 0, -0.297, -0.277, 2.023, 0.07, 2.684, 0.941, 1.176, 1.215, 
0.781, 1.242, 1.523, 1.754, 1.656, 1.34, 0.902, 0.879, 0.758, 
1.18, 1.395, 1.633, 1.863, 1.84, 2.078, -0.594, 0.07, 0.301, 
-0.363, -0.887, -0.434, -0.246, -0.094, -0.277, -0.34, -0.313, 
-0.305, -0.313, -0.309, -0.309, -0.301, -0.27, -0.223, -0.211, 
-0.227, -0.215, -0.203, -0.195, -0.172, -0.164, -0.105, -0.078, 
0.039, 0.004, 0.023, 0.063, 0.145, 0.137, 0.156, 0.156, 0.184, 
0.199, 0.199, 0.188, 0.203, 0.211, 0.199, 0.211, 0.336, 0.496, 
0.191, -0.594, -0.477, 2.488, 0.848, 2.809, 0.535, 1.199, 0.941, 
0.875, 1.32, 1.344, 1.605, 1.602, 1.371, 1.074, 1.047, 1.191, 
1.191, 1.363, 1.828, 2.012, 2.598, 1.703, -0.102, 0.984, -0.582, 
-0.613, -0.414, -0.141, -0.25, -0.445, -0.371, -0.344, -0.344, 
-0.332, -0.293, -0.27, -0.301, -0.281, -0.273, -0.246, -0.215, 
-0.195, -0.191, -0.129, -0.102, -0.074, -0.031, -0.016, 0.086, 
0.102, 0.086, 0.133, 0.168, 0.172, 0.16, 0.199, 0.184, 0.207, 
0.176, 0.164, 0.223, 0.449, 0.141, -0.734, -0.488, 2.656, 1.316, 
2.238, 0.43, 1.449, 0.727, 1.039, 1.348, 1.387, 1.711, 1.609, 
1.34, 1.09, 1.004, 1.098, 1.016, 1.23, 1.609, 1.59, 1.953, 2.207, 
-0.598, 0.801, -0.547, -0.441, -0.254, -0.188, -0.336, -0.398, 
-0.414, -0.375, -0.344, -0.297, -0.258, -0.305, -0.293, -0.27, 
-0.254, -0.234, -0.207, -0.172, -0.133, -0.074, -0.063, 0, 0.012, 
0.094, 0.105, 0.098, 0.145, 0.188, 0.199, 0.223, 0.246, 0.238, 
0.195, 0.148, 0.215, 0.285, 0.512, -0.637, -1.141, 1.031, 0.367, 
3.512, 0.664, 1.293, 1.031, 0.984, 1.445, 1.371, 1.68, 1.586, 
1.301, 1.043, 1.18, 1.266, 1.434, 1.797, 1.813, 1.906, 2.57, 
0.828, -0.227, 0.688, -0.594, -0.273, -0.238, -0.27, -0.324, 
-0.375, -0.336, -0.309, -0.313, -0.309, -0.289, -0.254, -0.234, 
-0.258, -0.25, -0.238, -0.23, -0.215, -0.211, -0.168, -0.156, 
-0.133, -0.117, -0.102, -0.039, 0.047, 0.051, 0.031, 0.082, 0.105, 
0.117, 0.133, 0.141, 0.117, 0.168, 0.133, 0.152, 0.172, 0.23, 
0.414, 0.461, 0.199, -0.242, -0.66, 0.652, 2.141, 1.516, 1.98, 
0.785, 1.25, 0.918, 1.152, 1.352, 1.469, 1.605, 1.484, 1.23, 
1.02, 1.016, 1.078, 1.059, 1.43, 2.41, 1.957, 2.461, 1.465, -0.91, 
-0.02, 0.258, -0.863, -0.285, -0.164, -0.094, -0.27, -0.301, 
-0.266, -0.227, -0.266, -0.273, -0.273, -0.27, -0.246, -0.195, 
-0.18, -0.219, -0.195, -0.203, -0.195, -0.191, -0.188, -0.148, 
-0.125, -0.105, -0.078, -0.023, 0.039, 0.105, 0.086, 0.086, 0.102, 
0.113, 0.09, 0.094, 0.129, 0.148, 0.184, 0.215, 0.18, 0.211, 
0.215, 0.25, 0.219, -1.195, 0.301, 2.527, 2.172, 1.582, 0.809, 
1.367, 0.809, 1.215, 1.484, 1.625, 1.668, 1.426, 1.219, 0.906, 
0.824, 0.789, 1.027, 1.367, 1.566, 1.801, 2.324, 1.516, -0.691, 
-0.094, -0.238, -0.395, -0.141, -0.84, -0.266, -0.145, -0.082, 
0.027, -0.031, -0.18, -0.23, -0.184, -0.191, -0.254, -0.262, 
-0.266, -0.277, -0.262, -0.25, -0.262, -0.266, -0.266, -0.238, 
-0.219, -0.203, -0.207, -0.211, -0.211, -0.211, -0.227, -0.227, 
-0.219, -0.215, -0.211, -0.199, -0.195, -0.195, -0.188, -0.188, 
-0.18, -0.18, -0.184, -0.184, -0.184, -0.188, -0.188, -0.172, 
-0.172, -0.164, -0.16, -0.164, -0.16, -0.16, -0.16, -0.16, -0.152, 
-0.145, -0.145, -0.137, -0.137, -0.129, -0.137, -0.129, -0.129, 
-0.133, -0.129, -0.129, -0.129, -0.113, -0.121, -0.117, -0.113, 
-0.117, -0.113, -0.117, -0.117, -0.117, -0.113, -0.113, -0.117, 
-0.109, -0.105, -0.109, -0.133, -0.145, -0.09, -0.066, -0.098, 
-0.102, -0.102, -0.098, -0.105, -0.098, -0.102, -0.109, -0.098, 
-0.098, -0.098, -0.105, -0.102, -0.102, -0.102, -0.102, -0.098, 
-0.098, -0.098, -0.098, -0.102, -0.102, -0.098, -0.098, -0.098, 
-0.098, -0.098, -0.098, -0.098, -0.098, -0.098, -0.094, -0.098, 
-0.094, -0.094, -0.094, -0.094, -0.094, -0.098, -0.098, -0.098, 
-0.098, -0.098, -0.098, -0.094, -0.094, -0.094, -0.09, -0.094, 
-0.098, -0.09, -0.09, -0.086, -0.094, -0.09, -0.09, -0.094, -0.094, 
-0.094, -0.09, -0.086, -0.094, -0.098, -0.066, -0.074, -0.09, 
-0.082, -0.078, -0.086, -0.082, -0.078, -0.086, -0.078, -0.078, 
-0.078, -0.074, -0.074, -0.074, -0.078, -0.078, -0.078, -0.078, 
-0.078, -0.078, -0.082, -0.078, -0.074, -0.074, -0.07, -0.07, 
-0.082, -0.078, -0.078, -0.082, -0.078, -0.078, -0.07, -0.074, 
-0.074, -0.07, -0.074, -0.07, -0.074, -0.07, -0.066, -0.063, 
-0.063, -0.063, -0.066, -0.07, -0.07, -0.066, -0.066, -0.07, 
-0.066, -0.066, -0.063, -0.063, -0.063, -0.059, -0.059, -0.059, 
-0.059, -0.059, -0.055, -0.055, -0.055, -0.055, -0.055, -0.055, 
-0.055, -0.047, -0.051, -0.043, -0.047, -0.047, -0.043, -0.047, 
-0.039, -0.039, -0.039, -0.039, -0.043, -0.043, -0.039, -0.035, 
-0.035, -0.039, -0.035, -0.035, -0.039, -0.035, -0.035, -0.031, 
-0.031, -0.031, -0.031, -0.031, -0.035, -0.031, -0.07, -0.051, 
0.027, -0.004, -0.039, -0.016, -0.016, -0.031, -0.02, -0.027, 
-0.035, -0.027, -0.027, -0.027, -0.027, -0.027, -0.023, -0.027, 
-0.023, -0.023, -0.023, -0.023, -0.023, -0.027, -0.027, -0.027, 
-0.023, -0.02, -0.02, -0.027, -0.027, -0.027, -0.023, -0.023, 
-0.02, -0.02, -0.02, -0.02, -0.02, -0.016, -0.012, -0.016, -0.008, 
-0.016, -0.016, -0.02, -0.02, -0.02, -0.012, -0.02, -0.016, -0.016, 
-0.016, -0.012, -0.016, -0.023, -0.023, -0.016, -0.02, -0.016, 
-0.023, -0.023, -0.02, -0.02, -0.023, -0.02, -0.02, -0.023, -0.023, 
-0.027, -0.023, -0.023, -0.023, -0.027, -0.02, -0.023, -0.023, 
-0.023, -0.027, -0.027, -0.031, -0.027, -0.027, -0.027, -0.023, 
-0.023, -0.023, -0.027, -0.031, -0.027, -0.027, -0.027, -0.027, 
-0.027, -0.027, -0.031, -0.027, -0.031, -0.031, -0.031, -0.027, 
-0.027, -0.023, -0.027, -0.027, -0.031, -0.039, -0.031, -0.031, 
-0.035, -0.035, -0.031, -0.035, -0.035, -0.031, -0.027, -0.031, 
-0.027, -0.035, -0.027, -0.035, -0.027, -0.027, -0.031, -0.031, 
-0.031, -0.031, -0.027, -0.031, -0.027, -0.031, -0.031, -0.031, 
-0.031, -0.027, -0.027, -0.027, -0.035, -0.027, -0.039, -0.039, 
-0.035, -0.035, -0.039, -0.043, -0.031, -0.031, -0.031, -0.027, 
-0.031, -0.031, -0.027, -0.031, -0.027, -0.027, -0.031, -0.027, 
-0.031, -0.031, -0.027, -0.031, -0.031, -0.027, -0.031, -0.027, 
-0.031, -0.031, -0.027, -0.031, -0.027, -0.027, -0.023, -0.027, 
-0.031, -0.027, -0.031, -0.031, -0.027, -0.027, -0.031, -0.027, 
-0.027, -0.027, -0.023, -0.031, -0.035, -0.035, -0.039, -0.035, 
-0.031, -0.035, -0.031, -0.031, -0.027, -0.027, -0.031, -0.027, 
-0.027, -0.031, -0.031, -0.035, -0.027, -0.027, -0.027, -0.039, 
-0.031, -0.031, -0.031, -0.035, -0.031, -0.027, -0.027, -0.031, 
-0.035, -0.027, -0.031, -0.031, -0.027, -0.031, -0.031, -0.027, 
-0.027, -0.027, -0.027, -0.031, -0.027, -0.031, -0.027, -0.031, 
-0.027, -0.035, -0.031, -0.031, -0.035, -0.027, -0.031, -0.027, 
-0.031, -0.031, -0.031, -0.027, -0.027, -0.027, -0.027, -0.027, 
-0.027, -0.027, -0.031, -0.031)), row.names = c(NA, -2440L), spec = structure(list(
    cols = list(z_axis = structure(list(), class = c("collector_double", 
    "collector"))), default = structure(list(), class = c("collector_guess", 
    "collector")), delim = ","), class = "col_spec"), problems = <pointer: 0x000001e8d4a0fd60>, class = c("spec_tbl_df", 
"tbl_df", "tbl", "data.frame"))

And here is the code I am using to count steps:

# Subtract mean
zsmooth <- zonly - mean(zonly)

# Filter data
# Define sample frequency
fs <- 40

# Define filter order (4th order)
order <- 4

# Define high-pass and low-pass thresholds
High <- 0.25
Low <- 2.5

# Create coefficients for a 4th order bandpass Butterworth filter
b <- butter(n = order,
            W = c(High, Low)/(fs/2),
            type = 'pass',
            plane = c('z'))

# Dual pass filter to avoid signal shift 
zfiltered <- filtfilt(b, zsmooth)

# Create time label
time <- seq(0, 1, length.out =2440)

# Get peaks
pks <- rep(NA, length(zfiltered))
for (i in 2:length(zfiltered)-1){
  ifelse (zfiltered[i] > zfiltered[i-1] && zfiltered[i] > zfiltered[i+1], pks[i] <- 1, pks[i] <- NA)
}

pks.locs <- which(!is.na(pks))

threshold <- 0.6
for (p in 1:length(pks.locs)){
  ifelse(zfiltered[pks.locs][p] > threshold, next, pks[pks.locs][p] <- NA)
}

steps <- as.numeric(length(which(!is.na(pks))))

idx <- (1:length(pks))[!is.na(pks)]
pks.acc <- zfiltered[idx]
pks.time <- time[idx]

plot(time, zfiltered, type = 'l', col = 'blue')
for (p in 1:length(pks.time)){
  points(x = pks.time[p], y = pks.acc[p], col = 'red')
}

I’ve searched for other examples of step count using this method and tried to find one that will address my problem, but have been unsuccessful. Is there a parameter I can add or an edit I can make to the “pks” code that will allow me to remove the double peak counting? This is my first foray into attempting step count, so any and all advice is appreciated. Thank you!

  • r
  • filtering
  • frequency
  • accelerometer

2

Trang chủ Giới thiệu Sinh nhật bé trai Sinh nhật bé gái Tổ chức sự kiện Biểu diễn giải trí Dịch vụ khác Trang trí tiệc cưới Tổ chức khai trương Tư vấn dịch vụ Thư viện ảnh Tin tức - sự kiện Liên hệ Chú hề sinh nhật Trang trí YEAR END PARTY công ty Trang trí tất niên cuối năm Trang trí tất niên xu hướng mới nhất Trang trí sinh nhật bé trai Hải Đăng Trang trí sinh nhật bé Khánh Vân Trang trí sinh nhật Bích Ngân Trang trí sinh nhật bé Thanh Trang Thuê ông già Noel phát quà Biểu diễn xiếc khỉ Xiếc quay đĩa Dịch vụ tổ chức sự kiện 5 sao Thông tin về chúng tôi Dịch vụ sinh nhật bé trai Dịch vụ sinh nhật bé gái Sự kiện trọn gói Các tiết mục giải trí Dịch vụ bổ trợ Tiệc cưới sang trọng Dịch vụ khai trương Tư vấn tổ chức sự kiện Hình ảnh sự kiện Cập nhật tin tức Liên hệ ngay Thuê chú hề chuyên nghiệp Tiệc tất niên cho công ty Trang trí tiệc cuối năm Tiệc tất niên độc đáo Sinh nhật bé Hải Đăng Sinh nhật đáng yêu bé Khánh Vân Sinh nhật sang trọng Bích Ngân Tiệc sinh nhật bé Thanh Trang Dịch vụ ông già Noel Xiếc thú vui nhộn Biểu diễn xiếc quay đĩa Dịch vụ tổ chức tiệc uy tín Khám phá dịch vụ của chúng tôi Tiệc sinh nhật cho bé trai Trang trí tiệc cho bé gái Gói sự kiện chuyên nghiệp Chương trình giải trí hấp dẫn Dịch vụ hỗ trợ sự kiện Trang trí tiệc cưới đẹp Khởi đầu thành công với khai trương Chuyên gia tư vấn sự kiện Xem ảnh các sự kiện đẹp Tin mới về sự kiện Kết nối với đội ngũ chuyên gia Chú hề vui nhộn cho tiệc sinh nhật Ý tưởng tiệc cuối năm Tất niên độc đáo Trang trí tiệc hiện đại Tổ chức sinh nhật cho Hải Đăng Sinh nhật độc quyền Khánh Vân Phong cách tiệc Bích Ngân Trang trí tiệc bé Thanh Trang Thuê dịch vụ ông già Noel chuyên nghiệp Xem xiếc khỉ đặc sắc Xiếc quay đĩa thú vị

Filed under: Kiến thức lập trình - @ 07:27

Thẻ:

Trang chủ Giới thiệu Sinh nhật bé trai Sinh nhật bé gái Tổ chức sự kiện Biểu diễn giải trí Dịch vụ khác Trang trí tiệc cưới Tổ chức khai trương Tư vấn dịch vụ Thư viện ảnh Tin tức - sự kiện Liên hệ Chú hề sinh nhật Trang trí YEAR END PARTY công ty Trang trí tất niên cuối năm Trang trí tất niên xu hướng mới nhất Trang trí sinh nhật bé trai Hải Đăng Trang trí sinh nhật bé Khánh Vân Trang trí sinh nhật Bích Ngân Trang trí sinh nhật bé Thanh Trang Thuê ông già Noel phát quà Biểu diễn xiếc khỉ Xiếc quay đĩa
Thiết kế website Thiết kế website Thiết kế website Cách kháng tài khoản quảng cáo Mua bán Fanpage Facebook Dịch vụ SEO Tổ chức sinh nhật