A unified framework for activity recognition-based behavior analysis and action prediction in smart homes

I Fatima, M Fahim, YK Lee, S Lee - Sensors, 2013 - mdpi.com
In recent years, activity recognition in smart homes is an active research area due to its
applicability in many applications, such as assistive living and healthcare. Besides activity …

A knowledge-driven approach for activity recognition in smart homes based on activity profiling

M Rawashdeh, MGH Al Zamil, S Samarah… - Future Generation …, 2020 - Elsevier
Abstract The Internet of Things (IoT) is a technology for seamlessly connecting a large
number of small-end devices and enabling the development of many smart applications to …

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 …

Online human activity recognition employing hierarchical hidden Markov models

P Asghari, E Soleimani, E Nazerfard - Journal of Ambient Intelligence and …, 2020 - Springer
In the last few years there has been a growing interest in Human activity recognition (HAR)
topic. Sensor-based HAR approaches, in particular, has been gaining more popularity …

Combining emerging patterns with random forest for complex activity recognition in smart homes

H Tabatabaee Malazi, M Davari - Applied Intelligence, 2018 - Springer
New healthcare technologies are emerging with the increasing age of the society, where the
development of smart homes for monitoring the elders' activities is in the center of them …

Activity recognition in smart homes

L Lu, C Qing-Ling, Z Yi-Ju - Multimedia Tools and Applications, 2017 - Springer
In recent years, activity recognition in smart homes is an active research area. It is an
important problem of Human Computer Interaction (HCI), and has many applications in HCI …

Enhancing activity recognition using CPD-based activity segmentation

S Aminikhanghahi, DJ Cook - Pervasive and Mobile Computing, 2019 - Elsevier
Segmenting behavior-based sensor data and recognizing the activity that the data
represents are vital steps in all applications of human activity learning such as health …

Latent feature learning for activity recognition using simple sensors in smart homes

G Chen, A Wang, S Zhao, L Liu, CY Chang - Multimedia Tools and …, 2018 - Springer
Activity recognition is an important step towards monitoring and evaluating the functional
health of an individual, and it potentially promotes human-centric ubiquitous applications in …

Internet of things (IoT) based activity recognition strategies in smart homes: a review

L Babangida, T Perumal, N Mustapha… - IEEE sensors …, 2022 - ieeexplore.ieee.org
A smart home, which is an extension of a traditional home, is equipped with ubiquitous
sensors embedded in consumer appliances, connected via sensing technologies such as …

Bootstrapping human activity recognition systems for smart homes from scratch

SK Hiremath, Y Nishimura, S Chernova… - Proceedings of the ACM …, 2022 - dl.acm.org
Smart Homes have come a long way: From research laboratories in the early days, through
(almost) neglect, to their recent revival in real-world environments enabled through the …