Use sklearn to decide whether the computer is in tablet or laptop mode.

tablet-mode-sensor.py

"""
    Use sklearn to decide whether the computer is in tablet or laptop mode.
 
    To play:
        #tablet-mode-sensor.py gather  #  gather data in 2 csv files
        #tablet-mode-sensor.py fit     #  create and store with pickle the predictor
        #tablet-mode-sensor.py check   #  read the sensors and predict the laptop mode
        
    To disable keyboard|touchpad get your device_ids with xinput and uncomment the 
       xinput lines.
        
        
"""
from __future__ import print_function
from glob import glob
from time import sleep
import csv
import pickle
from sklearn import svm
import pandas as pd
 
 
 
sensor_path = "/sys/bus/iio/devices/iio:device3/in_incli_*_raw"
scale = open("/sys/bus/iio/devices/iio:device3/in_incli_scale").read().strip()
scale = float(scale)
 
 
def get_incli():
    """Return the inclination sensor triple (x, y, z).
    """
    line = x, y, z = [ float(open(f).read().strip()) * scale
                for f in glob(sensor_path)
              ]
    return line
 
 
def store_data(dest="tablet.csv", count=3000):
    """Gather `count` sensor data and store them in csv.
 
       A laptop-mode line ends with 0
       A tablet-mode line ends with 1
 
    """
    target = dest.startswith("tablet")
    with open(dest, 'w+') as fh:
        writer = csv.writer(fh)
        writer.writerow("x,y,z,is_tablet".split(","))
 
        for i in range(count):
            writer.writerow(get_incli() + [target])
            sleep(.01)
 
 
def fit_data():
    clf = svm.SVC(gamma=0.001, C=100.)
    df_laptop = pd.read_csv('laptop.csv')
    df_tablet = pd.read_csv('tablet.csv')
    reg = pd.concat([df_laptop, df_tablet])
    clf.fit(reg[['x','y','z']], reg[['is_tablet']])
    return clf
 
 
if __name__ == '__main__':
    from sys import argv
    if 'gather' in argv:
        raw_input("Gathering sensor data for laptop mode for 30 seconds. Move your PC keeping it in laptop mode.")
        store_data("laptop.csv")
        print("Completed!")
        raw_input("Gathering sensor data for tablet mode for 30 seconds. Move your PC keeping it in tablet mode.")
        store_data("tablet.csv")
    elif 'fit' in argv:
        with open('ai-lid.pickle', 'wb') as fh:
            pickle.dump(fit_data(), fh)
    elif 'check' in argv:
        with open('ai-lid.pickle') as fh
            clf = pickle.load(fh)
        while True:
            line = get_incli()
            is_tablet = clf.predict(line)[0]
            print("Laptop is in {} mode".format("tablet" if is_tablet else "laptop"))
            # if is_tablet:
            #   check_output(split("xinput disable KEYBOARD_ID"))
            #   check_output(split("xinput disable TOUCHPAD_ID"))
            sleep(1)
    else:
        raise SystemExit("Specify one of the following options: gather, fit, check")