Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …
Estimating sleep parameters using an accelerometer without sleep diary
Wrist worn raw-data accelerometers are used increasingly in large-scale population
research. We examined whether sleep parameters can be estimated from these data in the …
research. We examined whether sleep parameters can be estimated from these data in the …
A survey on activity detection and classification using wearable sensors
Activity detection and classification are very important for autonomous monitoring of humans
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …
Lifelogging: Personal big data
We have recently observed a convergence of technologies to foster the emergence of
lifelogging as a mainstream activity. Computer storage has become significantly cheaper …
lifelogging as a mainstream activity. Computer storage has become significantly cheaper …
Sedentary behaviors in today's youth: approaches to the prevention and management of childhood obesity: a scientific statement from the American Heart Association
TA Barnett, AS Kelly, DR Young, CK Perry, CA Pratt… - Circulation, 2018 - Am Heart Assoc
This scientific statement is about sedentary behavior and its relationship to obesity and other
cardiometabolic outcomes in youth. A deleterious effect of sedentary behavior on …
cardiometabolic outcomes in youth. A deleterious effect of sedentary behavior on …
Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants
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 …
reliance on subjective self-reported evidence. Using data from simple wrist-worn activity …
[HTML][HTML] Hip and wrist accelerometer algorithms for free-living behavior classification
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 …
(PA). Wrist-worn devices may improve compliance over standard hip placement, but more …
A systematic literature review with meta-analyses of within-and between-day differences in objectively measured physical activity in school-aged children
Background Targeting specific time periods of the day or week may enhance physical
activity (PA) interventions in youth. The most prudent time segments to target are currently …
activity (PA) interventions in youth. The most prudent time segments to target are currently …
Exploring the context of sedentary behaviour in older adults (what, where, why, when and with whom)
CF Leask, JA Harvey, DA Skelton… - European Review of …, 2015 - Springer
Background Older adults are the most sedentary segment of the population. Little
information is available about the context of sedentary behaviour to inform guidelines and …
information is available about the context of sedentary behaviour to inform guidelines and …