[PDF][PDF] An End-to-End Framework for the Optimisation of Human Activity Recognition

N Irvine - 2021 - pure.ulster.ac.uk
Demographic concerns pertaining to the ageing population have been recognised by the
World Health Organisation (WHO) stating that “In 2019, the number of people aged 60 years …

Advanced sensing and human activity recognition in early intervention and rehabilitation of elderly people

L Schrader, A Vargas Toro, S Konietzny… - Journal of Population …, 2020 - Springer
Ageing is associated with a decline in physical activity and a decrease in the ability to
perform activities of daily living, affecting physical and mental health. Elderly people or …

[PDF][PDF] Personalisation of machine learning models for human activity recognition

F Cruciani - 2020 - pure.ulster.ac.uk
Emerging mobile and IoT technologies, in conjunction with the progress which has been
made in the field of Artificial Intelligence, are paving the way to novel smart technology …

A study of an iterative user-specific human activity classification approach

N Fürderer - 2018 - oa.upm.es
Applications for sensor-based human activity recognition use the latest algorithms for the
detection and classification of human everyday activities, both for online and offline use …

Improving the collection and understanding the quality of datasets for the aim of human activity recognition

A Poli, S Spinsante, C Nugent, I Cleland - Smart Assisted Living: Toward …, 2020 - Springer
In the last few decades, life expectancy has been increasing. This has resulted in a higher
proportion of older adults and increased prevalence of chronic conditions, posing …

New trends in machine learning techniques for human activity recognition using multimodal sensors

J González-Lama, A Montoro, M Espinilla… - … Computing and Ambient …, 2023 - Springer
The ageing of today's society, according to demographic and epidemiological data, presents
a significant increase in the elderly population. Following the experienced pandemic …

Check for updates New Trends in Machine Learning Techniques for Human Activity Recognition Using Multimodal Sensors

J González-Lama¹, A Montoro, M Espinilla… - Proceedings of the …, 2023 - books.google.com
The ageing of today's society, according to demographic and epidemiological data, presents
a significant increase in the elderly population. Following the experienced pandemic …

A human activity recognition framework for healthcare applications: ontology, labelling strategies, and best practice

P Woznowski, R King, W Harwin… - … Conference on Internet …, 2016 - scitepress.org
Human Activity Recognition (AR) is an area of great importance for health and well-being
applications including Ambient Intelligent (AmI) spaces, Ambient Assisted Living (AAL) …

Human activities recognition of the aged

JKW Neo - 2023 - dr.ntu.edu.sg
This final year project report presents two separate Human Activity Recognition (HAR)
systems for monitoring elderly individuals:(1) based on sound and (2) based on smartphone …

[HTML][HTML] Promoting fairness in activity recognition algorithms for patient's monitoring and evaluation systems in healthcare

C Mennella, M Esposito, G De Pietro… - Computers in Biology …, 2024 - Elsevier
Researchers face the challenge of defining subject selection criteria when training
algorithms for human activity recognition tasks. The ongoing uncertainty revolves around …