A TinyML deep learning approach for indoor tracking of assets

D Avellaneda, D Mendez, G Fortino - Sensors, 2023 - mdpi.com
Positioning systems have gained paramount importance for many different productive
sector; however, traditional systems such as Global Positioning System (GPS) have failed to …

[HTML][HTML] Learning human-process interaction in manual manufacturing job shops through indoor positioning systems

F Pilati, A Sbaragli - Computers in Industry, 2023 - Elsevier
Nowadays, manufacturing systems are increasingly embracing the Industry 4.0 paradigm.
Therefore, manual and low-standardized manufacturing environments are often digitized …

Spatio-temporal characteristics of human activities using location big data in Qilian Mountain National Park

M Che, Y Nian, S Chen, H Zhang… - International Journal of …, 2023 - Taylor & Francis
Human activities significantly impact the environment. Understanding the patterns and
distribution of these activities is crucial for ecological protection. With location-based …

Multi-Level Fusion Indoor Positioning Technology Considering Credible Evaluation Analysis

L Huang, B Yu, S Du, J Li, H Jia, J Bi - Remote Sensing, 2023 - mdpi.com
Aiming at the problems of the low robustness and poor reliability of a single positioning
source in complex indoor environments, a multi-level fusion indoor positioning technology …

Indoor Content Delivery Solution for a Museum Based on BLE Beacons

D Verde, L Romero, PM Faria, S Paiva - Sensors, 2023 - mdpi.com
The digital transformation advancement enables multiple areas to provide modern services
to their users. Culture is one of the areas that can benefit from these advances, more …

Architecture for museums location-based content delivery using augmented reality and beacons

D Verde, L Romero, PM Faria… - 2022 IEEE international …, 2022 - ieeexplore.ieee.org
The digital transformation applied to museum's context is somehow usual nowadays,
presenting many benefits to the visitors. However, most of the applications provide static and …

Multisensory System for Long-Term Activity Monitoring to Facilitate Aging-in-Place

S Lluva-Plaza, A Jiménez-Martín, D Gualda-Gómez… - Sensors, 2023 - mdpi.com
Demographic changes and an ageing population require more effective methods to confront
the increased prevalence of chronic diseases which generate dependence in older adults …

A semi-supervised approach for activity recognition from indoor trajectory data

M Rana, A Rahman, D Smith - arXiv preprint arXiv:2301.03134, 2023 - arxiv.org
The increasingly wide usage of location aware sensors has made it possible to collect large
volume of trajectory data in diverse application domains. Machine learning allows to study …

Real-time location systems technology in the care of older adults with cognitive impairment living in residential care: A scoping review

L Haslam-Larmer, L Shum, CH Chu, K McGilton… - Frontiers in …, 2022 - frontiersin.org
Introduction There has been growing interest in using real-time location systems (RTLS) in
residential care settings. This technology has clinical applications for locating residents …

Life‐Space Mobility Is Related to Loneliness Among Living‐Alone Older Adults: Longitudinal Analysis With Motion Sensor Data

K Yu, CY Wu, LL Barnes, LC Silbert… - Journal of the …, 2025 - Wiley Online Library
Background Life‐space mobility can be a behavioral indicator of loneliness. This study
examined the association between life‐space mobility measured with motion sensors and …