[HTML][HTML] Health monitoring using smart home technologies: Sco** review

PP Morita, KS Sahu, A Oetomo - JMIR mHealth and uHealth, 2023 - mhealth.jmir.org
Background The Internet of Things (IoT) has become integrated into everyday life, with
devices becoming permanent fixtures in many homes. As countries face increasing pressure …

An ambient assisted living architecture for hospital at home coupled with a process-oriented perspective

E Sulis, IA Amantea, M Aldinucci, G Boella… - Journal of Ambient …, 2024 - Springer
The growing number of next-generation applications offers a relevant opportunity for
healthcare services, generating an urgent need for architectures for systems integration …

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 …

Systematic review and classification of the engineering for global development literature based on design tools and methods for social impact consideration

AG Armstrong, H Suk, CS Mabey… - Journal of …, 2023 - asmedigitalcollection.asme.org
While many tools and methodologies for assessing social impact exist and are used in the
social science and global development fields, there is a lack of standard methods for …

Using a Smart Living Environment Simulation Tool and Machine Learning to Optimize the Home Sensor Network Configuration for Measuring the Activities of Daily …

R Naccarelli, S Casaccia, M Pirozzi, GM Revel - Buildings, 2022 - mdpi.com
This paper describes a methodology to optimize the home sensor network to measure the
Activities of Daily Living (ADLs) of older people using Machine Learning (ML) applied to …

A process mining-based error correction approach to improve data quality of an IoT-sourced event log

M Shirali, Z Ahmadi, C Fernández-Llatas… - arxiv preprint arxiv …, 2024 - arxiv.org
Internet of Things (IoT) systems are vulnerable to data collection errors and these errors can
significantly degrade the quality of collected data, impact data analysis and lead to …

An interactive error-correcting approach for IoT-sourced event logs

M Shirali, Z Ahmadi, C Fernández-Llatas… - ACM Transactions on …, 2024 - dl.acm.org
Although Internet of Things (IoT) systems are widely used in various industries, they are
prone to data collection errors due to device limitations and environmental factors. These …

A Brief Review on Behavior Recognition Based on Key Points of Human Skeleton and Eye Gaze To Prevent Human Error

N Lathifah, HI Lin - 2022 13th Asian Control Conference (ASCC …, 2022 - ieeexplore.ieee.org
The review on human behavior recognition and human error behavior is discussed in this
paper. Human error has advanced understanding of human behavior and provided a set of …

Synergy of Information in Multimodal IoT Systems--Discovering the impact of daily behaviour routines on physical activity level

M Shirali, Z Ahmadi, C Fernández-Llatas… - arxiv preprint arxiv …, 2024 - arxiv.org
The intricate connection between daily behaviours and health necessitates robust behaviour
monitoring, particularly with the advent of IoT systems. This study introduces an innovative …

LLM-based event abstraction and integration for IoT-sourced logs

M Shirali, MF Sani, Z Ahmadi, E Serral - arxiv preprint arxiv:2409.03478, 2024 - arxiv.org
The continuous flow of data collected by Internet of Things (IoT) devices, has revolutionised
our ability to understand and interact with the world across various applications. However …