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 …

Multi-user activity recognition: Challenges and opportunities

Q Li, R Gravina, Y Li, SH Alsamhi, F Sun, G Fortino - Information Fusion, 2020 - Elsevier
Human activity recognition has attracted enormous research interest thanks to its
fundamental importance in several domains spanning from health-care to security, safety …

Multi-label classification based ensemble learning for human activity recognition in smart home

M Jethanandani, A Sharma, T Perumal, JR Chang - Internet of Things, 2020 - Elsevier
In recent times with advancements in wireless sensor technologies, human activity
recognition in smart home environments have gained significant interest amongst the …

Human activity recognition using binary sensors: A systematic review

MTR Khan, E Ever, S Eraslan, Y Yesilada - Information Fusion, 2024 - Elsevier
Human activity recognition (HAR) is an emerging area of study and research field that
explores the development of automated systems to identify and categorize human activities …

Human activity recognition with an HMM-based generative model

N Manouchehri, N Bouguila - Sensors, 2023 - mdpi.com
Human activity recognition (HAR) has become an interesting topic in healthcare. This
application is important in various domains, such as health monitoring, supporting elders …

Transformer with bidirectional GRU for nonintrusive, sensor-based activity recognition in a multiresident environment

D Chen, S Yongchareon, EMK Lai, J Yu… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Several techniques for human activity recognition (HAR) in a smart indoor environment have
been developed and improved along with the rapid advancement of sensor technologies …

Sequential neural networks for multi-resident activity recognition in ambient sensing smart homes

A Natani, A Sharma, T Perumal - Applied Intelligence, 2021 - Springer
Advances in smart home technology and IoT devices had made us capable of monitoring
human activities in a non-intrusive way. This data, in turn, enables us to predict the health …

Fully connected generative adversarial network for human activity recognition

AO Jimale, MHM Noor - IEEE Access, 2022 - ieeexplore.ieee.org
Conditional Generative Adversarial Networks (CGAN) have shown great promise in
generating synthetic data for sensor-based activity recognition. However, one key issue …

Exploring raw data transformations on inertial sensor data to model user expertise when learning psychomotor skills

M Portaz, A Corbi, A Casas-Ortiz, OC Santos - User Modeling and User …, 2024 - Springer
This paper introduces a novel approach for leveraging inertial data to discern expertise
levels in motor skill execution, specifically distinguishing between experts and beginners. By …

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 …