[HTML][HTML] Research advancements in key technologies for space-based situational awareness

B Wang, S Li, J Mu, X Hao, W Zhu… - Space: Science & …, 2022 - spj.science.org
The space environment has become highly congested due to the increasing space debris,
seriously threatening the safety of orbiting spacecraft. Space-based situational awareness …

[HTML][HTML] Information and communication technology solutions for outdoor navigation in dementia

S Teipel, C Babiloni, J Hoey, J Kaye, T Kirste… - Alzheimer's & …, 2016 - Elsevier
Introduction Information and communication technology (ICT) is potentially mature enough
to empower outdoor and social activities in dementia. However, actual ICT-based devices …

From activity recognition to intention recognition for assisted living within smart homes

J Rafferty, CD Nugent, J Liu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The global population is aging; projections show that by 2050, more than 20% of the
population will be aged over 64. This will lead to an increase in aging related illness, a …

Predicting human behaviour with recurrent neural networks

A Almeida, G Azkune - Applied Sciences, 2018 - mdpi.com
As the average age of the urban population increases, cities must adapt to improve the
quality of life of their citizens. The City4Age H2020 project is working on the early detection …

Ensemble classifier of long short-term memory with fuzzy temporal windows on binary sensors for activity recognition

J Medina-Quero, S Zhang, C Nugent… - Expert Systems with …, 2018 - Elsevier
There are approaches that successfully recognize activities of daily living by using a trained
classifier on feature vectors created from binary sensor data. Although these approaches …

Context-aware human activity recognition in industrial processes

F Niemann, S Lüdtke, C Bartelt, M Ten Hompel - Sensors, 2021 - mdpi.com
The automatic, sensor-based assessment of human activities is highly relevant for
production and logistics, to optimise the economics and ergonomics of these processes …

Robust unsupervised factory activity recognition with body-worn accelerometer using temporal structure of multiple sensor data motifs

Q Xia, J Korpela, Y Namioka, T Maekawa - Proceedings of the ACM on …, 2020 - dl.acm.org
This paper presents a robust unsupervised method for recognizing factory work using
sensor data from body-worn acceleration sensors. In line-production systems, each factory …

A review of the evolution of scientific literature on technology-assisted approaches using RGB-D sensors for musculoskeletal health monitoring

NK Mangal, AK Tiwari - Computers in Biology and Medicine, 2021 - Elsevier
The human musculoskeletal (MSK) system (also known as the locomotor system) provides
strength and assistance to perform functional tasks and daily life activities. The MSK health …

[HTML][HTML] Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia

S Teipel, A König, J Hoey, J Kaye, F Krüger… - Alzheimer's & …, 2018 - Elsevier
Cognitive function is an important end point of treatments in dementia clinical trials.
Measuring cognitive function by standardized tests, however, is biased toward highly …

[PDF][PDF] Activity, context, and plan recognition with computational causal behaviour models

F Krüger - 2016 - rosdok.uni-rostock.de
As computers are becoming more and more a part of our everyday life, the vision of Mark
Weiser about ubiquitous computing becomes true. One of the core tasks of such devices is …