Wireless sensor networks for healthcare

JG Ko, C Lu, MB Srivastava, JA Stankovic… - Proceedings of the …, 2010‏ - ieeexplore.ieee.org
Driven by the confluence between the need to collect data about people's physical,
physiological, psychological, cognitive, and behavioral processes in spaces ranging from …

Assessment of physical activity in youth

K Corder, U Ekelund, RM Steele… - Journal of applied …, 2008‏ - journals.physiology.org
Despite much progress with physical activity assessment, the limitations concerning the
accurate measurement of physical activity are often amplified in young people due to the …

Analysis of animal accelerometer data using hidden Markov models

V Leos‐Barajas, T Photopoulou… - Methods in Ecology …, 2017‏ - Wiley Online Library
Use of accelerometers is now widespread within animal biologging as they provide a means
of measuring an animal's activity in a meaningful and quantitative way where direct …

Literature review on monitoring technologies and their outcomes in independently living elderly people

KKB Peetoom, MAS Lexis, M Joore… - Disability and …, 2015‏ - Taylor & Francis
Purpose: To obtain insight into what kind of monitoring technologies exist to monitor activity
in-home, what the characteristics and aims of applying these technologies are, what kind of …

[PDF][PDF] Physical activity classification using the GENEA wrist-worn accelerometer

S Zhang, AV Rowlands, P Murray, TL Hurst - 2012‏ - academia.edu
Introduction: Most accelerometer-based activity monitors are worn on the waist or lower back
for assessment of habitual physical activity. Output is in arbitrary counts that can be …

[PDF][PDF] Mercury: a wearable sensor network platform for high-fidelity motion analysis.

K Lorincz, B Chen, GW Challen, AR Chowdhury… - SenSys, 2009‏ - ww.robertdick.org
This paper describes Mercury, a wearable, wireless sensor platform for motion analysis of
patients being treated for neuromotor disorders, such as Parkinson's Disease, epilepsy, and …

Enlighten wearable physiological monitoring systems: On-body rf characteristics based human motion classification using a support vector machine

Y Geng, J Chen, R Fu, G Bao… - IEEE transactions on …, 2015‏ - ieeexplore.ieee.org
The real-time health monitoring system is a promising body area network application to
enhance the safety of firefighters when they are working in harsh and dangerous …

A survey on smartphone-based systems for opportunistic user context recognition

SA Hoseini-Tabatabaei, A Gluhak… - ACM Computing Surveys …, 2013‏ - dl.acm.org
The ever-growing computation and storage capability of mobile phones have given rise to
mobile-centric context recognition systems, which are able to sense and analyze the context …

Identification failure data for cluster heads aggregation in WSN based on improving classification of SVM

TK Dao, TT Nguyen, JS Pan, YU Qiao, QA Lai - IEEE Access, 2020‏ - ieeexplore.ieee.org
Wireless sensor network (WSN) has been paid more attention due to its efficient system of
communication devices for transferring information from a target environment to the base …

Assessing sedentary behavior with the GENEActiv: introducing the sedentary sphere.

AV Rowlands, TS Olds, M Hillsdon, R Pulsford… - 2014‏ - figshare.le.ac.uk
BACKGROUND: The Sedentary Sphere is a method for the analysis, identification, and
visual presentation of sedentary behaviors from a wrist-worn triaxial accelerometer …