Probabilistic Analysis of Abnormal Behaviour Detection in Activities of Daily Living
| Autor: | Gareth Morrison, Alexandros Konios, Chris D. Nugent, Idongesit Ekerete, Matias Garcia-Constantino, Colin Shewell, Stavros-Richard G. Christopoulos |
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| Rok vydání: | 2019 |
| Předmět: |
Activities of daily living
Computer science Cumulative distribution function Probabilistic logic Context (language use) 02 engineering and technology Standard deviation Identification (information) 020204 information systems Statistics 0202 electrical engineering electronic engineering information engineering Range (statistics) 020201 artificial intelligence & image processing Probabilistic analysis of algorithms |
| Zdroj: | PerCom Workshops |
| DOI: | 10.1109/percomw.2019.8730682 |
| Popis: | This paper presents a probabilistic approach for the identification of abnormal behaviour in Activities of Daily Living (ADLs) from sensor data collected from 30 participants. 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. The approach presented considers the temporal aspect of the sequences of actions that are part of each ADL and that vary between participants. The average and standard deviation for the durations of each action were calculated to define an average time and a range in which a behaviour could be considered as normal for each stage and activity. The Cumulative Distribution Function (CDF) was used to obtain the probabilities of abnormal behaviours related to the early and late completion of activities and stages within an activity. The data analysis show that CDF can provide accurate and reliable results regarding the presence of abnormal behaviour in stages and activities that last over a minute. Finally, this approach could be used to train machine learning algorithms for the abnormal behaviour detection. |
| Databáze: | OpenAIRE |
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