A framework for unsupervised change detection in activity recognition

Sulaimon Adebayo Bashir*, Andrei Petrovski, Daniel Doolan

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    8 Citations (SciVal)
    Original languageEnglish
    Pages (from-to)157-175
    Number of pages19
    JournalInternational Journal of Pervasive Computing and Communications
    Volume13
    Issue number2
    DOIs
    Publication statusPublished (VoR) - 2017

    Keywords

    • Activity recognition
    • Change detection
    • Concept drift
    • Machine learning
    • Model adaptation

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