Unsupervised learning of sensor topologies for improving activity recognition in smart environments

N Twomey, T Diethe, I Craddock, P Flach - Neurocomputing, 2017 - Elsevier
There has been significant recent interest in sensing systems and 'smart environments', with
a number of longitudinal studies in this area. Typically the goal of these studies is to develop …

Activity recognition in sensor data streams for active and assisted living environments

F Al Machot, AH Mosa, M Ali… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In active and assisted living environments, a major service that can be provided is the
automated assessment of elderly people's well-being. Therefore, activity recognition is …

Active learning with uncertainty sampling for large scale activity recognition in smart homes

H Alemdar, TLM Van Kasteren… - Journal of Ambient …, 2017 - content.iospress.com
One of the major problems faced by automated human activity recognition systems is the
scalability. Since the probabilistic models employed in activity recognition require labeled …

Using sensors to study home activities

J Jiang, R Pozza, K Gunnarsdóttir, N Gilbert… - Journal of Sensor and …, 2017 - mdpi.com
Understanding home activities is important in social research to study aspects of home life,
eg, energy-related practices and assisted living arrangements. Common approaches to …

Large-scale innovations and approaches for community healthcare support in developing nations

SJ Miah - Handbook of large-scale distributed computing in smart …, 2017 - Springer
Over the past two decades, many large-scale innovations have been designed for the
individuals' information support in improving public healthcare. Studies show rapidly …

Human activity recognition in smart homes based on a difference of convex programming problem

V Ghasemi, AA Pouyan, M Sharifi - KSII Transactions on Internet …, 2017 - koreascience.kr
Smart homes are the new generation of homes where pervasive computing is employed to
make the lives of the residents more convenient. Human activity recognition (HAR) is a …

A sensor-based scheme for activity recognition in smart homes using dempster-shafer theory of evidence

V Ghasemi, A Pouyan, M Sharifi - Journal of AI and Data …, 2017 - jad.shahroodut.ac.ir
This paper proposes a scheme for activity recognition in sensor based smart homes using
Dempster-Shafer theory of evidence. In this work, opinion owners and their belief masses …

Directional Multi-Scale Stationary Wavelet-Based Representation for Human Action Classification

MN Al-Berry, MAM Salem, HM Ebeid… - … of Research on …, 2017 - igi-global.com
Human action recognition is a very active field in computer vision. Many important
applications depend on accurate human action recognition, which is based on accurate …

Service-oriented things: Delivering smart services using internet of things

KJ Lin, S Zhou, S Yan, T Ito - 2017 IEEE 19th Conference on …, 2017 - ieeexplore.ieee.org
This paper presents a service-oriented paradigm for building next generation services using
Internet of Things (IoT). In the future, there will be many IoT devices deployed in our …

Detección y visualización de comportamientos no usuales en adultos mayores institucionalizados a través de un análisis híbrido

VS MENDOZA - 2017 - cicese.repositorioinstitucional.mx
En las residencias geriátricas, los cuidadores de adultos mayores llevan bitácoras donde
registran las actividades diarias mientras atienden a los residentes. Para este trabajo se …