Uncertain Information Management for ADL Monitoring in Smart Homes
نویسندگان
چکیده
1 School of Computing and Mathematics and Computer Science Research Institute, University of Ulster, Jordanstown, Northern Ireland Emails: {x.hong; cd.nugent; md.mulvenna}@ulster.ac.uk 2 School of Computer Science, Queen’s University Belfast, Northern Ireland Emails: {w.liu; jma03}@qub.ac.uk 3 School of Computing and Information Engineering and Computer Science Research Institute, University of Ulster, Coleraine, Northern Ireland Emails: {si.mcclean; bw.scotney}@ulster.ac.uk
منابع مشابه
Sensor Based Smart Home System
In the first instance it aims to it provide an overview addressing the state-of-the-art in the area of activity recognition in Smart homes. Smart homes are augmented residential environments equipped with sensors, actuators and devices. In early method, they used data-driven approaches only for sensor data in this paper introduces a knowledge-driven approach to real-time, continuous activity re...
متن کاملEvaluation of Three State-of-the-Art Classifiers for Recognition of Activities of Daily Living from Smart Home Ambient Data
Smart homes for the aging population have recently started attracting the attention of the research community. The "health state" of smart homes is comprised of many different levels; starting with the physical health of citizens, it also includes longer-term health norms and outcomes, as well as the arena of positive behavior changes. One of the problems of interest is to monitor the activitie...
متن کاملSituation Aware Cognitive Assistance in Smart Homes
Smart Homes (SH) have emerged as a realistically viable solution capable of providing technology-driven assistive living for the elderly and disabled. Nevertheless, it still remains a challenge to provide situation-aware cognitive assistance for those in need in their Activity of Daily Living (ADL). This paper introduces a systematic approach to providing situation-aware ADL assistances in a sm...
متن کاملIndoor air quality monitoring in urban areas using Smart Sensing Technology
Recently, indoor air quality has attracted the attention of policymakers and researchers as a critical issue like that of external air pollution. Indoor air quality is more important as people spend time longer indoors than outdoors. Indoor environments are closed compared to external environments providing less opportunity for the pollutants to dilute. The emissions contain many substances tha...
متن کاملADL™: A Topic Model for Discovery of Activities of Daily Living in a Smart Home
We present an unsupervised approach for discovery of Activities of Daily Living (ADL) in a smart home. Activity discovery is an important enabling technology, for example to tackle the healthcare requirements of elderly people in their homes. The technique applied most often is supervised learning, which relies on expensive labelled data and lacks the flexibility to discover unseen activities. ...
متن کامل