@misc{10481/95202,
year = {2019},
month = {11},
url = {https://hdl.handle.net/10481/95202},
abstract = {Recent technological advances have enabled the continuous and unobtrusive monitoring
of human behaviour. However, most of the existing studies focus on detecting human behaviour
under the limitation of one behavioural aspect, such as physical behaviour and not addressing
human behaviour in a broad sense. For this reason, we propose a novel framework that will
serve as the principal generator of knowledge on the user’s behaviour. The proposed framework
moves beyond the current trends in automatic behaviour analysis by detecting and inferring human
behaviour automatically, based on multimodal sensor data. In particular, the framework analyses
human behaviour in a holistic approach, focusing on different behavioural aspects at the same time;
namely physical, social, emotional and cognitive behaviour. Furthermore, the suggested framework
investigates user’s behaviour over different periods, introducing the concept of short-term and
long-term behaviours and how these change over time.},
organization = {European Union’s Horizon 2020 research and
innovation programme under Grant Agreement #769553},
organization = {Dutch UT-CTIT project HoliBehave and in collaboration with the research project “Advanced Computing
Architectures and Machine Learning-Based Solutions for Complex Problems in Bioinformatics, Biotechnology and
Biomedicine” (RTI2018-101674-B-I00)},
publisher = {MDPI},
keywords = {Smartphone},
keywords = {Mobile sensing},
keywords = {Wearables},
title = {A Novel Framework for the Holistic Monitoring and Analysis of Human Behaviour},
doi = {10.3390/proceedings2019031043},
author = {Konsolakis, Kostas and Hermens, Hermie and Baños Legrán, Oresti},
}