A genetic algorithm-based classifier ensemble optimization for activity recognition in smart homes

I Fatima, M Fahim, YK Lee, S Lee - KSII Transactions on Internet …, 2013 - koreascience.kr
Over the last few years, one of the most common purposes of smart homes is to provide
human centric services in the domain of u-healthcare by analyzing inhabitants' daily living …

Classifier ensemble optimization for human activity recognition in smart homes

I Fatima, M Fahim, YK Lee, S Lee - … of the 7th International Conference on …, 2013 - dl.acm.org
Recognizing human activities is an active research area due to its applicability in many
applications, such as assistive living and healthcare. Currently, the major challenges in …

EEM: evolutionary ensembles model for activity recognition in Smart Homes

M Fahim, I Fatima, S Lee, YK Lee - Applied intelligence, 2013 - Springer
Activity recognition requires further research to enable a multitude of human-centric
applications in the smart home environment. Currently, the major challenges in activity …

Effects of smart home dataset characteristics on classifiers performance for human activity recognition

I Fatima, M Fahim, YK Lee, S Lee - … Science and its Applications: CSA 2012, 2012 - Springer
Over the last few years, activity recognition in the smart home has become an active
research area due to the wide range of human centric-applications. A list of machine …

Clustering-based ensemble learning for activity recognition in smart homes

A Jurek, C Nugent, Y Bi, S Wu - Sensors, 2014 - mdpi.com
Application of sensor-based technology within activity monitoring systems is becoming a
popular technique within the smart environment paradigm. Nevertheless, the use of such an …

Integration of discriminative and generative models for activity recognition in smart homes

LG Fahad, M Rajarajan - Applied Soft Computing, 2015 - Elsevier
Activity recognition in smart homes enables the remote monitoring of elderly and patients. In
healthcare systems, reliability of a recognition model is of high importance. Limited amount …

Daily activity feature selection in smart homes based on pearson correlation coefficient

Y Liu, Y Mu, K Chen, Y Li, J Guo - Neural processing letters, 2020 - Springer
In the case of a smart home, the ability to recognize daily activities depends primarily on the
strategy used for selecting the appropriate features related to these activities. To achieve the …

A novel approach based on time cluster for activity recognition of daily living in smart homes

Y Liu, D Ouyang, Y Liu, R Chen - Symmetry, 2017 - mdpi.com
With the trend of the increasing ageing population, more elderly people often encounter
some problems in their daily lives. To enable these people to have more carefree lives …

Activity recognition in smart homes with self verification of assignments

LG Fahad, A Khan, M Rajarajan - Neurocomputing, 2015 - Elsevier
Activity recognition in smart homes provides valuable benefits in the field of health and
elderly care by remote monitoring of patients. In health care, capabilities of both performing …

Key feature identification for recognition of activities performed by a smart-home resident

SF Tahir, LG Fahad, K Kifayat - Journal of Ambient Intelligence and …, 2020 - Springer
Activity recognition is beneficial for continuous health monitoring of smart-home residents,
such as patients and elderly people, living in the privacy of their home. We propose an …