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 …

Superhydrophobic flexible strain sensors constructed using nanomaterials: their fabrications and sustainable applications

X Zhou, H Zang, Y Guan, S Li, M Liu - Nanomaterials, 2023 - mdpi.com
Superhydrophobic flexible strain sensors, which combine superhydrophobic coatings with
highly sensitive flexible sensors, significantly enhance sensor performance and expand …

Robust low-rank latent feature analysis for spatiotemporal signal recovery

D Wu, Z Li, Z Yu, Y He, X Luo - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Wireless sensor network (WSN) is an emerging and promising developing area in the
intelligent sensing field. Due to various factors like sudden sensors breakdown or saving …

Adaptive thermal sensor array placement for human segmentation and occupancy estimation

A Naser, A Lotfi, J Zhong - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Thermal sensor array (TSA) offers privacy-preserving, low-cost, and non-invasive features,
which makes it suitable for various indoor applications such as anomaly detection, health …

The problem of monitoring activities of older people in multi-resident scenarios: An innovative and non-invasive measurement system based on wearables and pir …

R Naccarelli, S Casaccia, GM Revel - Sensors, 2022 - mdpi.com
This paper presents an innovative multi-resident activity detection sensor network that uses
the Bluetooth Low Energy (BLE) signal emitted by tags worn by residents and passive …

An entropy-based approach for anomaly detection in activities of daily living in the presence of a visitor

A Howedi, A Lotfi, A Pourabdollah - Entropy, 2020 - mdpi.com
This paper presents anomaly detection in activities of daily living based on entropy
measures. It is shown that the proposed approach will identify anomalies when there are …

A survey on multi-resident activity recognition in smart environments

FMP Shiri, T Perumal, N Mustapha, R Mohamed… - arXiv preprint arXiv …, 2023 - arxiv.org
Human activity recognition (HAR) is a rapidly growing field that utilizes smart devices,
sensors, and algorithms to automatically classify and identify the actions of individuals within …

MICAR: multi-inhabitant context-aware activity recognition in home environments

L Arrotta, C Bettini, G Civitarese - Distributed and Parallel Databases, 2023 - Springer
The sensor-based recognition of Activities of Daily Living (ADLs) in smart-home
environments enables several important applications, including the continuous monitoring of …

Multi-person activity recognition in continuously monitored smart homes

T Wang, DJ Cook - IEEE transactions on emerging topics in …, 2021 - ieeexplore.ieee.org
Activity recognizers are challenging to design for continuous, in-home settings. However,
they are notoriously difficult to create when there is more than one resident in the home …

Hand gestures identification for fine-grained human activity recognition in smart homes

A Roberge, B Bouchard, J Maître, S Gaboury - Procedia Computer Science, 2022 - Elsevier
Most developed countries are facing important demographic issues related to ageing
populations. Maintaining elders at home while ensuring their safety and well-being often …