Recognizing when the user drives, walks, rides a bicycle
I am trying to find the most reliable way to determine if the user is driving, walking, cycling or stationary. I am going to use this in an android app. I would rather avoid GPS as much as possible.
Please let me know which algorithms have worked for you, their advantages and disadvantages. Thank!
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Google has an API to do this in Google Play Services. Check out https://developer.android.com/reference/com/google/android/gms/location/ActivityRecognitionApi.html
I wouldn't suggest coding it on your own, but it wasn't easy (I had a version about a year before Google did it, it was buggy and the battery was dead).
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You will probably never get an absolutely accurate result, but a reasonable estimate can be determined using
- GPS to identify speed
- Is the charger plugged in
- is the phone off, or on screensaver
- is the movement detector going off a lot - likely walking but may be driving on dirt road
I have been playing around with a simplified version of this as shown below (sorry code in Python)
def inspect_phone(self):
self.phone_gps_lat = 137.0000 # get from phone
self.phone_gps_lng = 100.0000 # get from phone
self.phone_moving = False # get from phone
self.phone_move_dist_2_mn = 4
self.phone_on_charge = True
self.screen_saver = False
#-------------------------------
phone_status = ''
if self.phone_on_charge == True:
phone_status += 'Phone is charging'
if self.phone_moving == True:
phone_status += ', driving in Car'
else:
phone_status += ', sitting still'
else:
if self.screen_saver == False:
phone_status += 'Phone is being used'
else:
phone_status += 'Phone is off'
if self.phone_moving == True:
if self.phone_move_dist_2_mn < 5:
phone_status += ', going for Walk'
elif self.phone_move_dist_2_mn > 500:
phone_status += ', flying on Plane'
else:
phone_status += ', riding on ' + transport['Public']
return phone_status
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