A survey of human activity recognition in smart homes based on IoT sensors algorithms: Taxonomies, challenges, and opportunities with deep learning

D Bouchabou, SM Nguyen, C Lohr, B LeDuc… - Sensors, 2021 - mdpi.com
Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of
sensors have encouraged the development of smart environments, such as smart homes …

Openshs: Open smart home simulator

N Alshammari, T Alshammari, M Sedky, J Champion… - Sensors, 2017 - mdpi.com
This paper develops a new hybrid, open-source, cross-platform 3D smart home simulator,
OpenSHS, for dataset generation. OpenSHS offers an opportunity for researchers in the field …

Adaptive monitoring system for e-health smart homes

H Mshali, T Lemlouma, D Magoni - Pervasive and Mobile Computing, 2018 - Elsevier
Existing e-health monitoring systems mainly operate in isolation from the requirements of
modern healthcare institutions. They do not include optimized techniques which learn the …

SIMADL: Simulated activities of daily living dataset

T Alshammari, N Alshammari, M Sedky, C Howard - Data, 2018 - mdpi.com
With the realisation of the Internet of Things (IoT) paradigm, the analysis of the Activities of
Daily Living (ADLs), in a smart home environment, is becoming an active research domain …

Smartspec: Customizable smart space datasets via event-driven simulations

A Chio, D Jiang, P Gupta, G Bouloukakis… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
This paper presents SmartSPEC, an approach to generate customizable smart space
datasets using sensorized spaces in which people and events are embedded. Smart space …

Modeling and reasoning of contexts in smart spaces based on stochastic analysis of sensor data

JW Lee, A Helal - Applied Sciences, 2022 - mdpi.com
In the last decade, smart spaces and automatic systems have gained significant popularity
and importance. Moreover, as the COVID-19 pandemic continues, the world is seeking …

Smart Indoor Space Simulation Methodologies: A Review

S Golestan, E Stroulia, I Nikolaidis - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Research on smart indoor space applications, which focus on the occupants' trace, requires
a design process consisting of deploying several devices (sensors and actuators) and …

Modeling the behavior of persons with mild cognitive impairment or Alzheimer's for intelligent environment simulation

Y Francillette, E Boucher, N Bier, M Lussier… - User Modeling and User …, 2020 - Springer
Intelligent environments may improve the independence and quality of life of persons with
mild cognitive impairment (MCI) or Alzheimer's disease (AD) through their ability to …

A smart home simulation tool to support the recognition of activities of daily living

B Ho, D Vogts, J Wesson - Proceedings of the South African Institute of …, 2019 - dl.acm.org
The prevalence of Internet of Things (IoT) technologies and internet-connected devices
introduces the potential of providing intelligence to a wide range of applications. The smart …

Predicting activity duration in smart sensing environments using synthetic data and partial least squares regression: the case of dementia patients

M Ortiz-Barrios, E Järpe, M García-Constantino… - Sensors, 2022 - mdpi.com
The accurate recognition of activities is fundamental for following up on the health progress
of people with dementia (PwD), thereby supporting subsequent diagnosis and treatments …