Rule-based real-time ADL recognition in a smart home environment

George Baryannis, Przemyslaw Woznowski, Grigoris Antoniou

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

11 Citations (Scopus)


This paper presents a rule-based approach for both offline and real-time recognition of Activities of Daily Living (ADL), leveraging events produced by a non-intrusive multi-modal sensor infrastructure deployed in a residential environment. Novel aspects of the approach include: the ability to recognise arbitrary scenarios of complex activities using bottom-up multi-level reasoning, starting from sensor events at the lowest level; an effective heuristics-based method for distinguishing between actual and ghost images in video data; and a highly accurate indoor localisation approach that fuses different sources of location information. The proposed approach is implemented as a rule-based system using Jess and is evaluated using data collected in a smart home environment. Experimental results show high levels of accuracy and performance, proving the effectiveness of the approach in real world setups.

Original languageEnglish
Title of host publicationRule Technologies: Research, Tools, and Applications - 10th International Symposium, RuleML 2016, Proceedings
PublisherSpringer Verlag
Number of pages16
ISBN (Print)9783319420189
Publication statusPublished - 28 Jun 2016
Event10th International Symposium on Rule Technologies - Stony Brook University, Stony Brook, United States
Duration: 6 Jul 20169 Jul 2016 (Link to Conference Website)

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference10th International Symposium on Rule Technologies
Abbreviated titleRuleML 2016
Country/TerritoryUnited States
CityStony Brook
Internet address


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