Fig 1.
a). Autographer—lifelogging device. b) Orientation determined by Autographer manufacturer using magnetic field and acceleration where Yaw is an Azimuth (0–360 degrees), Roll (-90-90 degrees) and Pitch (-180-180 degrees).
Table 1.
Types of Autographer’s sensors, measurements and measurements’ units.
Table 2.
Data structure for lifelogging dataset.
Acceleration and magnetic field strength are calculated from initial sensor readings (Table 1).
Table 3.
Table of assigned labels to each of the images.
Fig 2.
Travel modes in manually annotated set of images.
Table 4.
Evaluation results for 90% manually annotated data where 70% were used as training and 30% as a testing dataset.
Table 5.
Evaluation results for 10% of manually annotated data which were not taken into consideration during the training procedure.
Fig 3.
Noise sources in lifelogging data when linked to the GPS device.
Fig 4.
A schema for calculating an azimuth (AP-K) between points P(Xp, Yp) and K(Xk, Yk).
Reference axes are swapped to the counter clockwise mathematical polar coordinates.
Fig 5.
The visualisation of Index of disturbance calculates per each road link.
Table 6.
OSM road classification adjusted for the purposes of this paper.
Source OSM Wiki.
Fig 6.
The relationship between time spent indoor and outdoor for different genders and age groups.
Fig 7.
Distribution of the travel mode classes in the full data set of 139,254 lifelogging sensor readings.
Fig 8.
Relationship between indoor and outdoor walking activities.
Fig 9.
Relationship between indoor and outdoor walking for different genders and age groups.
Fig 10.
Percentage of indoor walking vs total walking per age group (1- under 25, 2–25–65 years old, 3–65+ years old).
Fig 11.
Individual disturbance for men and women on different roads.
Fig 12.
Individual disturbance for men and women in different age groups.
Fig 13.
Individual disturbance in rush hour (7:30–9:00am and 4:00–6:00pm) and non-rush hours periods.
Fig 14.
Individual disturbance for men and women in according to the weather conditions.
Fig 15.
Individual disturbance for different road types according to different weather conditions.