[HTML][HTML] Unsupervised human activity recognition using the clustering approach: A review

P Ariza Colpas, E Vicario, E De-La-Hoz-Franco… - Sensors, 2020 - mdpi.com
Currently, many applications have emerged from the implementation of software
development and hardware use, known as the Internet of things. One of the most important …

A deep learning approach for human activities recognition from multimodal sensing devices

IK Ihianle, AO Nwajana, SH Ebenuwa, RI Otuka… - Ieee …, 2020 - ieeexplore.ieee.org
Research in the recognition of human activities of daily living has significantly improved
using deep learning techniques. Traditional human activity recognition techniques often use …

A Neuro-fuzzy approach for user behaviour classification and prediction

S Dash, AK Luhach, N Chilamkurti, S Baek… - Journal of Cloud …, 2019 - Springer
Big data and cloud computing technology appeared on the scene as new trends due to the
rapid growth of social media usage over the last decade. Big data represent the immense …

Online updating extended belief rule-based system for sensor-based activity recognition

LH Yang, J Liu, YM Wang, C Nugent… - Expert Systems with …, 2021 - Elsevier
Sensor-based activity recognition (AR) is a core problem with the research domain of smart
environments. It has, however, the potential to provide solutions to address the problems …

A hybrid approach of knowledge-driven and data-driven reasoning for activity recognition in smart homes

ASA Sukor, A Zakaria, NA Rahim… - Journal of Intelligent …, 2019 - content.iospress.com
Accurate activity recognition plays a major role in smart homes to provide assistance and
support for users, especially elderly and cognitively impaired people. To realize this task …

Fusion mechanisms for human activity recognition using automated machine learning

AC Popescu, I Mocanu, B Cramariuc - IEEE Access, 2020 - ieeexplore.ieee.org
Human activity recognition has been a branch of interest in the field of computer vision for
decades, due to its numerous applications in different domains, such as medicine …

Integrated data and knowledge driven methodology for human activity recognition

H Jia, S Chen - Information Sciences, 2020 - Elsevier
Human activity recognition has been a popular research area concerned with identifying the
specific movement or action of a person based on variety of sensor data. Conventional …

Fuzzy-based fine-grained human activity recognition within smart environments

D Triboan, L Chen, F Chen - … & Big Data Computing, Internet of …, 2019 - ieeexplore.ieee.org
With the increasing ageing population, Smart Home (SH) has been under vigorous
investigation to enable Ambient Assisted Living (AAL) and foster independent living. Human …

Semantic knowledge base in support of activity recognition in smart home environments

ASA Sukor, A Zakaria, NA Rahim… - International Journal of …, 2018 - orca.cardiff.ac.uk
Activity recognition plays a major role in smart home technologies in providing services to
users. One of the approaches to identify ac-tivity is through the use of knowledge-driven …

Reformulating a smart home system for the Indian context: Diu Island

D Triboan, A Meggi - International Journal of Design & Nature and …, 2019 - witpress.com
In a fast urbanizing world, the Smart City concept driven by leading technologies can be a
saviour to the many urban, environmental and economic issues among other problems …