Personalized real-time anomaly detection and health feedback for older adults
- 12 September 2019
- journal article
- research article
- Published by SAGE Publications in Journal of Ambient Intelligence and Smart Environments
- Vol. 11 (5) , 453-469
Abstract
Rapid population aging and the availability of sensors and intelligent objects motivate the development of healthcare systems; these systems, in turn, meet the needs of older adults by supporting them to accomplish their day-to-day activities. CollecKeywords
This publication has 32 references indexed in Scilit:
- MyBehavior2015
- A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted livingPattern Recognition, 2015
- Multi‐armed bandit experiments in the online service economyApplied Stochastic Models in Business and Industry, 2015
- An automatic data mining method to detect abnormal human behaviour using physical activity measurementsPervasive and Mobile Computing, 2014
- The use of Thompson sampling to increase estimation precisionBehavior Research Methods, 2014
- Is daily routine important for sleep? An investigation of social rhythms in a clinical insomnia populationChronobiology International, 2014
- Convolutional Neural Networks for Human Activity Recognition using Mobile Sensors2014
- Sensor data fusion for activity monitoring in the PERSONA ambient assisted living projectJournal of Ambient Intelligence and Humanized Computing, 2011
- Rapid specification and automated generation of prompting systems to assist people with dementiaPervasive and Mobile Computing, 2011
- Motion- and location-based online human daily activity recognitionPervasive and Mobile Computing, 2011