A Comprehensive Review of Machine Learning Approaches for Anomaly Detection in Smart Homes: Experimental Analysis and Future Directions

MM Rahman, D Gupta, S Bhatt, S Shokouhmand… - Future Internet, 2024 - mdpi.com
Detecting anomalies in human activities is increasingly crucial today, particularly in nuclear
family settings, where there may not be constant monitoring of individuals' health, especially …

Anomaly detection in smart homes using deep learning

M Moallem, H Hassanpour, AA Pouyan - Iranica Journal of Energy & …, 2019 - ijee.net
Smart homes enable many people, especially the elderly and patients, to live alone and
maintain their independence and comfort. The realization of this goal depends on …

A federated learning approach to anomaly detection in smart buildings

RA Sater, AB Hamza - ACM Transactions on Internet of Things, 2021 - dl.acm.org
Internet of Things (IoT) sensors in smart buildings are becoming increasingly ubiquitous,
making buildings more livable, energy efficient, and sustainable. These devices sense the …

Cyber physical anomaly detection for smart homes: A survey

Y Majib, O Rana, A Asaturyan, S Kariyawasam… - 2023 - orca.cardiff.ac.uk
Twenty-first-century human beings spend more than 90\% of their time in indoor
environments. The emergence of cyber systems in the physical world has a plethora of …

Anomaly Detection in Smart Houses for Healthcare: Recent Advances, and Future Perspectives

YM Galvão, L Castro, J Ferreira, FBL Neto… - SN Computer …, 2024 - Springer
Nowadays, device monitoring is an activity present in various different environments.
Ranging from monitoring workers in their workplaces, city traffic, surveillance in shops, to …

[HTML][HTML] Dataset for cyber–physical anomaly detection in smart homes

Y Majib, M Alosaimi, A Asaturyan… - Frontiers in the Internet of …, 2023 - frontiersin.org
The smart home concept is becoming increasingly popular due to the amenities it offers
such as improving the quality of life of occupants by increasing convenience, comfort …

Indirectly supervised anomaly detection of clinically meaningful health events from smart home data

J Dahmen, DJ Cook - ACM Transactions on Intelligent Systems and …, 2021 - dl.acm.org
Anomaly detection techniques can extract a wealth of information about unusual events.
Unfortunately, these methods yield an abundance of findings that are not of interest …

Early anomaly detection in smart home: A causal association rule-based approach

S Hela, B Amel, R Badran - Artificial intelligence in medicine, 2018 - Elsevier
As the world's population grows older, an increasing number of people are facing health
issues. For the elderly, living alone can be difficult and dangerous. Consequently, smart …

[PDF][PDF] Detecting anomalous sensor events in smart home data for enhancing the living experience

V Jakkula, D Cook - Workshops at the twenty-fifth AAAI conference on …, 2011 - cdn.aaai.org
The need to have a secure lifestyle at home is in demand more than ever. Today's home is
more than just four walls and a roof. Technology at home is on the rise and the place for …

Anomaly detection using hierarchical temporal memory in smart homes

NO Alshammari - 2018 - eprints.staffs.ac.uk
This work focuses on unsupervised biologically-inspired machine learning techniques and
algorithms that can detect anomalies. Specifically, the aim is to investigate the applicability …