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.
Original language | English |
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Title of host publication | Proceedings of 13th International Conference on Ubiquitous Computing and Ambient Intelligence UCAmI 2019 |
Publisher | Multidisciplinary Digital Publishing Institute (MDPI) |
DOIs | |
Publication status | Published - 20 Nov 2019 |
Event | 13th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAMI 2019 - Convent of San Pedro Mártir, Toledo, Spain Duration: 2 Dec 2019 → 5 Dec 2019 Conference number: 13 http://mamilab.esi.uclm.es/ucami2019/ |
Publication series
Name | Proceedings MDPI |
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Number | 43 |
Volume | 2019 |
Conference
Conference | 13th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAMI 2019 |
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Abbreviated title | UCAMI 2019 |
Country | Spain |
City | Toledo |
Period | 2/12/19 → 5/12/19 |
Internet address |
Keywords
- Smartphone
- Mobile sensing
- Wearables
- Human behaviour
- Physical behaviour
- Activity Recognition
- Cognitive behaviour
- Social behaviour
- Emotional behaviour