Learning human behaviour patterns by trajectory and activity recognition

Letícia Fernandes, Marília Barandas, Hugo Gamboa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The world’s population is ageing, increasing the awareness of neurological and behavioural impairments that may arise from the human ageing. These impairments can be manifested by cognitive conditions or mobility reduction. These conditions are difficult to be detected on time, there is a lack of routine screening which demands the development of solutions to better assist and monitor human behaviour. This study investigates the question of what we can learn about human behaviour patterns from the rich and pervasive mobile sensing data. Data was collected over 6 months, measuring two different human routines through human trajectory analysis and activity recognition comprising indoor and outdoor environment. A framework for modelling human behaviour was developed using human motion features, extracted with and without previous knowledge of the user’s behaviour. The human patterns were modelled through probability density functions and clustering approaches. Using the learned patterns, inferences about the current human behaviour were continuously quantified by an anomaly detection algorithm where distance measurements were used to detect significant changes in behaviour. Experimental results demonstrate the effectiveness of the proposed framework that revealed an increased potential to learn behavioural patterns and detect anomalies.

Original languageEnglish
Title of host publicationBIOSIGNALS 2020 - 13th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020
EditorsPedro Gomez Vilda, Ana Fred, Hugo Gamboa
PublisherSciTePress
Pages220-227
Number of pages8
ISBN (Electronic)9789897583988
DOIs
Publication statusPublished - 2020
Event13th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2020 - Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020 - Valletta, Malta
Duration: 24 Feb 202026 Feb 2020

Conference

Conference13th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2020 - Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020
CountryMalta
CityValletta
Period24/02/2026/02/20

Keywords

  • Ambient Assisted Living
  • Anomaly Detection
  • Clustering
  • Human Behaviour
  • Pattern Recognition
  • Probability Density Function

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