A Novel Framework for the Holistic Monitoring and Analysis of Human Behaviour

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 s...

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Main Authors: Kostas Konsolakis, Hermie Hermens, Oresti Banos
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Proceedings
Subjects:
Online Access:https://www.mdpi.com/2504-3900/31/1/43
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spelling doaj-7b48728f73d942aa853188c1950964842020-11-25T01:50:24ZengMDPI AGProceedings2504-39002019-11-013114310.3390/proceedings2019031043proceedings2019031043A Novel Framework for the Holistic Monitoring and Analysis of Human BehaviourKostas Konsolakis0Hermie Hermens1Oresti Banos2Telemedicine Group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, 7522 NB Enschede , The NetherlandsTelemedicine Group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, 7522 NB Enschede , The NetherlandsTelemedicine Group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, 7522 NB Enschede , The NetherlandsRecent 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.https://www.mdpi.com/2504-3900/31/1/43smartphonemobile sensingwearableshuman behaviourphysical behaviouractivity recognitioncognitive behavioursocial behaviouremotional behaviour
collection DOAJ
language English
format Article
sources DOAJ
author Kostas Konsolakis
Hermie Hermens
Oresti Banos
spellingShingle Kostas Konsolakis
Hermie Hermens
Oresti Banos
A Novel Framework for the Holistic Monitoring and Analysis of Human Behaviour
Proceedings
smartphone
mobile sensing
wearables
human behaviour
physical behaviour
activity recognition
cognitive behaviour
social behaviour
emotional behaviour
author_facet Kostas Konsolakis
Hermie Hermens
Oresti Banos
author_sort Kostas Konsolakis
title A Novel Framework for the Holistic Monitoring and Analysis of Human Behaviour
title_short A Novel Framework for the Holistic Monitoring and Analysis of Human Behaviour
title_full A Novel Framework for the Holistic Monitoring and Analysis of Human Behaviour
title_fullStr A Novel Framework for the Holistic Monitoring and Analysis of Human Behaviour
title_full_unstemmed A Novel Framework for the Holistic Monitoring and Analysis of Human Behaviour
title_sort novel framework for the holistic monitoring and analysis of human behaviour
publisher MDPI AG
series Proceedings
issn 2504-3900
publishDate 2019-11-01
description 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.
topic smartphone
mobile sensing
wearables
human behaviour
physical behaviour
activity recognition
cognitive behaviour
social behaviour
emotional behaviour
url https://www.mdpi.com/2504-3900/31/1/43
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