def read_tap_json(input_file, start=0):
"""
Read screen tap json file.
Parameters
----------
input_file : string
name of input screen tap json file
start : integer
starting index (remove beginning)
Returns
-------
t : list
time points for tap data
tx : list
x coordinates of touch screen
ty : list
y coordinates of touch screen
button : list
buttons tapped
sample_rate : float
sample rate
duration : float
duration of time series
Examples
--------
>>> from mhealthx.xio import read_tap_json
>>> input_file = '/Users/arno/DriveWork/mhealthx/mpower_sample_data/tapping_results.json.TappingSamples-49d2531d-dbda-4b6d-b403-f8763b8e05841011283015383434299.tmp'
>>> start = 0
>>> t, tx, ty, button, sample_rate, duration = read_tap_json(input_file, start)
"""
import json
import re
from mhealthx.signals import compute_sample_rate
f = open(input_file, 'r')
json_strings = f.readlines()
parsed_jsons = json.loads(json_strings[0])
t = []
tx = []
ty = []
button = []
for parsed_json in parsed_jsons[start::]:
txy = re.findall(r'\d+', parsed_json['TapCoordinate'])
tx.append(int(txy[0]))
ty.append(int(txy[1]))
t.append(parsed_json['TapTimeStamp'])
button.append(parsed_json['TappedButtonId'])
sample_rate, duration = compute_sample_rate(t)
return t, tx, ty, button, sample_rate, duration
def read_tap_json(input_file, start=0):
"""
Read screen tap json file.
Parameters
----------
input_file : string
name of input screen tap json file
start : integer
starting index (remove beginning)
Returns
-------
t : list
time points for tap data
tx : list
x coordinates of touch screen
ty : list
y coordinates of touch screen
button : list
buttons tapped
sample_rate : float
sample rate
duration : float
duration of time series
Examples
--------
>>> from mhealthx.xio import read_tap_json
>>> input_file = '/Users/arno/DriveWork/mhealthx/mpower_sample_data/tapping_results.json.TappingSamples-49d2531d-dbda-4b6d-b403-f8763b8e05841011283015383434299.tmp'
>>> start = 0
>>> t, tx, ty, button, sample_rate, duration = read_tap_json(input_file, start)
"""
import json
import re
from mhealthx.signals import compute_sample_rate
f = open(input_file, 'r')
json_strings = f.readlines()
parsed_jsons = json.loads(json_strings[0])
t = []
tx = []
ty = []
button = []
for parsed_json in parsed_jsons[start::]:
txy = re.findall(r'\d+', parsed_json['TapCoordinate'])
tx.append(int(txy[0]))
ty.append(int(txy[1]))
t.append(parsed_json['TapTimeStamp'])
button.append(parsed_json['TappedButtonId'])
sample_rate, duration = compute_sample_rate(t)
return t, tx, ty, button, sample_rate, duration
def read_accel_json(input_file, start=0, device_motion=True):
"""
Read accelerometer or deviceMotion json file.
Parameters
----------
input_file : string
name of input accelerometer json file
start : integer
starting index (remove beginning)
device_motion : Boolean
use deviceMotion vs. accelerometer json file?
Returns
-------
t : list
time points for accelerometer data
axyz : list of lists
x-, y-, and z-axis accelerometer data
gxyz : list of lists
x-, y-, and z-axis gravity (if deviceMotion)
wxyz : list of lists
w, x, y, z attitude quaternion (if deviceMotion)
rxyz : list of lists
x-, y-, and z-axis rotationRate (if deviceMotion)
sample_rate : float
sample rate
duration : float
duration of time series
Examples
--------
>>> from mhealthx.xio import read_accel_json
>>> input_file = '/Users/arno/DriveWork/mhealthx/mpower_sample_data/deviceMotion_walking_outbound.json.items-90f7096a-84ac-4f29-a4d1-236ef92c3d262549858224214804657.tmp'
>>> start = 150
>>> device_motion = True
>>> t, axyz, gxyz, wxyz, rxyz, sample_rate, duration = read_accel_json(input_file, start, device_motion)
"""
import json
from mhealthx.signals import compute_sample_rate, gravity_min_mse
f = open(input_file, 'r')
json_strings = f.readlines()
parsed_jsons = json.loads(json_strings[0])
t = []
ax = []
ay = []
az = []
gx = []
gy = []
gz = []
uw = []
ux = []
uy = []
uz = []
rx = []
ry = []
rz = []
for parsed_json in parsed_jsons[start::]:
if device_motion:
ax.append(parsed_json['userAcceleration']['x'])
ay.append(parsed_json['userAcceleration']['y'])
az.append(parsed_json['userAcceleration']['z'])
t.append(parsed_json['timestamp'])
gx.append(parsed_json['gravity']['x'])
gy.append(parsed_json['gravity']['y'])
gz.append(parsed_json['gravity']['z'])
uw.append(parsed_json['attitude']['w'])
ux.append(parsed_json['attitude']['x'])
uy.append(parsed_json['attitude']['y'])
uz.append(parsed_json['attitude']['z'])
rx.append(parsed_json['rotationRate']['x'])
ry.append(parsed_json['rotationRate']['y'])
rz.append(parsed_json['rotationRate']['z'])
else:
ax.append(parsed_json['x'])
ay.append(parsed_json['y'])
az.append(parsed_json['z'])
t.append(parsed_json['timestamp'])
axyz = [ax, ay, az]
gxyz = [gx, gy, gz]
wxyz = [uw, ux, uy, uz]
rxyz = [rx, ry, rz]
sample_rate, duration = compute_sample_rate(t)
return t, axyz, gxyz, wxyz, rxyz, sample_rate, duration
def read_accel_json(input_file, start=0, device_motion=True):
"""
Read accelerometer or deviceMotion json file.
Parameters
----------
input_file : string
name of input accelerometer json file
start : integer
starting index (remove beginning)
device_motion : Boolean
use deviceMotion vs. accelerometer json file?
Returns
-------
t : list
time points for accelerometer data
axyz : list of lists
x-, y-, and z-axis accelerometer data
gxyz : list of lists
x-, y-, and z-axis gravity (if deviceMotion)
wxyz : list of lists
w, x, y, z attitude quaternion (if deviceMotion)
rxyz : list of lists
x-, y-, and z-axis rotationRate (if deviceMotion)
sample_rate : float
sample rate
duration : float
duration of time series
Examples
--------
>>> from mhealthx.xio import read_accel_json
>>> input_file = '/Users/arno/DriveWork/mhealthx/mpower_sample_data/deviceMotion_walking_outbound.json.items-90f7096a-84ac-4f29-a4d1-236ef92c3d262549858224214804657.tmp'
>>> start = 150
>>> device_motion = True
>>> t, axyz, gxyz, wxyz, rxyz, sample_rate, duration = read_accel_json(input_file, start, device_motion)
"""
import json
from mhealthx.signals import compute_sample_rate, gravity_min_mse
f = open(input_file, 'r')
json_strings = f.readlines()
parsed_jsons = json.loads(json_strings[0])
t = []
ax = []
ay = []
az = []
gx = []
gy = []
gz = []
uw = []
ux = []
uy = []
uz = []
rx = []
ry = []
rz = []
for parsed_json in parsed_jsons[start::]:
if device_motion:
ax.append(parsed_json['userAcceleration']['x'])
ay.append(parsed_json['userAcceleration']['y'])
az.append(parsed_json['userAcceleration']['z'])
t.append(parsed_json['timestamp'])
gx.append(parsed_json['gravity']['x'])
gy.append(parsed_json['gravity']['y'])
gz.append(parsed_json['gravity']['z'])
uw.append(parsed_json['attitude']['w'])
ux.append(parsed_json['attitude']['x'])
uy.append(parsed_json['attitude']['y'])
uz.append(parsed_json['attitude']['z'])
rx.append(parsed_json['rotationRate']['x'])
ry.append(parsed_json['rotationRate']['y'])
rz.append(parsed_json['rotationRate']['z'])
else:
ax.append(parsed_json['x'])
ay.append(parsed_json['y'])
az.append(parsed_json['z'])
t.append(parsed_json['timestamp'])
axyz = [ax, ay, az]
gxyz = [gx, gy, gz]
wxyz = [uw, ux, uy, uz]
rxyz = [rx, ry, rz]
sample_rate, duration = compute_sample_rate(t)
return t, axyz, gxyz, wxyz, rxyz, sample_rate, duration
