Real-time plotting of android accelerometer data
What is a accelerometer?
It's a device aimed to measure acceleration. Usually it works analyzing the gravity force against a suspended mass. Or in the case of our smartphone, it analyze what is called seismic mass. Further explanation about accelerometers can be get here and here.
What are the uses of a accelerometer?
In smartphones, the most common use is to set the screen orientation or to achieve movimentation in games. Outside the phone world, it's widely used in stabilization systems.
What I'm trying to accomplish?
The idea is to plot the accelerometer data from a smartphone(android) using python. When you run the code, you should see something like this at your computer:
import android import time import matplotlib.pyplot as plt class Chart(object): def __init__(self): self.senses = 0 self.sb, self.xbuf, self.ybuf, self.zbuf = 0, 0, 0, 0 plt.ion() self.fig = plt.figure(1, figsize=(19, 6)) plt.ylim([-20, 20]) plt.xlim([0, 300]) def plot(self, x, y, z): self.senses += 1 plt.plot([self.sb, self.senses], [self.xbuf, x], color='r', label='X') plt.plot([self.sb, self.senses], [self.ybuf, y], color='g', label='Y') plt.plot([self.sb, self.senses], [self.zbuf, z], color='b', label='Z') self.fig.canvas.draw() self.sb, self.xbuf, self.ybuf, self.zbuf = self.senses, x, y, z # Interval between sensing dt = 100 # Number of senses TotalToSense = 250 # Connect to android and start sensing android_address = ("192.168.0.1", 9999) droid = android.Android(android_address) droid.startSensingTimed(2, dt) if __name__ == "__main__": amountSensed = 0 chart = Chart() while amountSensed <= TotalToSense: x, y, z = droid.sensorsReadAccelerometer().result if x and y and z: x, y, z = round(x, 1), round(y, 1), round(z, 1) chart.plot(x, y, z) time.sleep(dt / 1000.0) amountSensed += 1 droid.stopSensing()
1) Start the count/buffers variables; 2) plt.ion() enables interactive mode, which will allow the plot to be updated in real time; 3) Create the chart figure, and define the scale of axis Y/X;
1) Plot the data from accelerometer; 2) Draw the chart; 3) Update the buffers;
if _name_ == __main__
1) receive data from android accelerometer; 2) round to just one decimal; 3) call the plotting stuff 4) delay before the next sensing;
The data is really noisy, if you put the phone on a table and play drum with your fingers, the graph will gone wild. So it's a good idea filter it to avoid trouble in a real application.
The "buffers" vars is a little hack to plot the data, I think it's not really necessary, but since my knowledge about maplotlib is spartan, I was not able to avoid that.
Files on this articlehttps://github.com/voorloopnul/blog/blob/master/real-time-plotting-of-android-accelerometer-data.py
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