Lifelogging: Personal big data

C Gurrin, AF Smeaton, AR Doherty - Foundations and Trends® …, 2014 - nowpublishers.com
We have recently observed a convergence of technologies to foster the emergence of
lifelogging as a mainstream activity. Computer storage has become significantly cheaper …

Close encounters of the infectious kind: methods to measure social mixing behaviour

JM Read, WJ Edmunds, S Riley, J Lessler… - Epidemiology & …, 2012 - cambridge.org
A central tenet of close-contact or respiratory infection epidemiology is that infection patterns
within human populations are related to underlying patterns of social interaction. Until …

Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants

M Willetts, S Hollowell, L Aslett, C Holmes, A Doherty - Scientific reports, 2018 - nature.com
Current public health guidelines on physical activity and sleep duration are limited by a
reliance on subjective self-reported evidence. Using data from simple wrist-worn activity …

Hip and wrist accelerometer algorithms for free-living behavior classification

K Ellis, J Kerr, S Godbole… - … and science in …, 2016 - pmc.ncbi.nlm.nih.gov
Purpose Accelerometers are a valuable tool for objective measurement of physical activity
(PA). Wrist-worn devices may improve compliance over standard hip placement, but more …

Using the SenseCam to improve classifications of sedentary behavior in free-living settings

J Kerr, SJ Marshall, S Godbole, J Chen, A Legge… - American journal of …, 2013 - Elsevier
BACKGROUND: Studies have shown relationships between important health outcomes and
sedentary behavior, independent of physical activity. There are known errors in tools …

Using wearable cameras to categorise type and context of accelerometer-identified episodes of physical activity

AR Doherty, P Kelly, J Kerr, S Marshall, M Oliver… - International Journal of …, 2013 - Springer
Background Accelerometers can identify certain physical activity behaviours, but not the
context in which they take place. This study investigates the feasibility of wearable cameras …

CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition

S Chan, Y Hang, C Tong, A Acquah, A Schonfeldt… - Scientific Data, 2024 - nature.com
Existing activity tracker datasets for human activity recognition are typically obtained by
having participants perform predefined activities in an enclosed environment under …

Testing self-report time-use diaries against objective instruments in real time

J Gershuny, T Harms, A Doherty… - Sociological …, 2020 - journals.sagepub.com
This study provides a new test of time-use diary methodology, comparing diaries with a pair
of objective criterion measures: wearable cameras and accelerometers. A volunteer sample …

Validity of PALMS GPS scoring of active and passive travel compared to SenseCam

JA Carlson, MM Jankowska, K Meseck… - … and science in …, 2015 - pmc.ncbi.nlm.nih.gov
Purpose To assess validity of the Personal Activity Location Measurement System (PALMS)
for deriving time spent walking/running, bicycling, and in vehicle, using SenseCam as the …

Remembering through lifelogging: A survey of human memory augmentation

M Harvey, M Langheinrich, G Ward - Pervasive and Mobile Computing, 2016 - Elsevier
Human memory is unquestionably a vital cognitive ability but one that can often be
unreliable. External memory aids such as diaries, photos, alarms and calendars are often …