Abstract
This paper proposes a novel approach to identify personalised abnormal behaviour in Activities of Daily Living (ADLs) using accelerometer sensor data. The ADLs considered are: (i) preparing and drinking tea, and (ii) preparing and drinking coffee.Abnormal behaviour identified in the context of these activities can be an indicator of a progressive health problem or the occurrence of a hazardous incident. Monitoring ADLs for detecting abnormal behaviour is of particular importance due to the potential life changing consequences that could result from not acting timely. Prior to performing ADLs, the participants were asked six questions related to their well-being and mood. In addition to data collected from accelerometers, data was also collected from contact and thermal sensors, and radar. The work presented is a first step towards a more. personalised approach in which individual user profiles are considered as it is acknowledged that people behave differently from each other. Thus, data was collected seven times for each participant. We have evaluated our approach with accelerometer data collected from 15 participants. The experimental results show that accelerometer data is sufficient to identify the main stages of the ADLs considered, and therefore, any unusual changes in the signals and duration could mean that abnormal behaviour occurred.
Original language | English |
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Title of host publication | Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022) |
Editors | Jose Bravo, Sergio Ochoa, Jesus Favela |
Publisher | Springer Cham |
Pages | 302-313 |
Number of pages | 12 |
Volume | 594 |
ISBN (Electronic) | 978-3-031-21333-5 |
ISBN (Print) | 978-3-031-21332-8 |
DOIs | |
Publication status | Published online - 21 Nov 2022 |
Event | International Conference on Ubiquitous Computing and Ambient Intelligence - Hotel Hesperia, CÓRDOBA, Spain Duration: 29 Nov 2022 → 2 Dec 2022 Conference number: 14 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Publisher | Springer |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | International Conference on Ubiquitous Computing and Ambient Intelligence |
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Abbreviated title | UCAmI |
Country/Territory | Spain |
City | CÓRDOBA |
Period | 29/11/22 → 2/12/22 |
Keywords
- Activities of daily living
- ADLs
- Activity recognition
- Accelerometer
- Mood
- Sensors