The human behaviour indicator: a measure of behavioural evolution

Elbayoudi, A. ORCID: 0000-0003-0946-6790, Lotfi, A. ORCID: 0000-0002-5139-6565 and Langensiepen, C. ORCID: 0000-0002-0165-9048, 2019. The human behaviour indicator: a measure of behavioural evolution. Expert Systems with Applications, 118, pp. 493-505. ISSN 0957-4174

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Abstract

Activities of daily living (ADL) or activities of daily working (ADW) may be affected by changes in a person’s health or well-being. Measuring progressive changes in one activity or multiple activities is representative of behavioural variations. By inspecting the trends in multiple activities, it is possible to identify and predict human behavioural changes. We refer to the trends in people's behaviour as behavioural evolution. In this paper, we propose a novel indicator to measure the progressive changes representing a participant's behavioural evolution. The proposed indicator presents activities as a holistic measure, which first combine multi-activities and then measure the progressive changes in the combined activities for each single day.

Real data sets were collected from a wireless sensor network and used to examine our proposed technique. As part of this process, we were able to quantify progressive changes for individual and aggregated activities. Our experimental results demonstrated that: (1) the proposed approach can identify and distinguish normal and abnormal behaviours; (2) large data sets gathered from sensors in an intelligent environment represented in various time series can be visualised in a simple and more understandable format; (3) identifying trends in ADLs or ADWs is a relevant means of sharing information with carers or supervisors.

Item Type: Journal article
Publication Title: Expert Systems with Applications
Creators: Elbayoudi, A., Lotfi, A. and Langensiepen, C.
Date: 15 March 2019
Volume: 118
ISSN: 0957-4174
Identifiers:
NumberType
10.1016/j.eswa.2018.10.022DOI
S0957417418306729Publisher Item Identifier
Divisions: Schools > School of Science and Technology
Depositing User: Linda Sullivan
Date Added: 01 Nov 2018 10:38
Last Modified: 15 Oct 2019 03:00
URI: http://irep.ntu.ac.uk/id/eprint/34833

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