Mobile activity recognition using contextual reasoning and ubiquitous data stream processing

Zahraa Said Abdallah, Shonali Krishnaswamy, Mohamed M. Gaber, Bala Srinivasan

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


    Activity recognition has become one of the emerging applications in the area of ubiquitous computing. This research aims at leveraging ubiquitous data stream mining and context reasoning for mobile activity recognition. The novel system allows dynamic adaptation and personalisation of the learning model to reflect the realistic activity changes emerged over time. Sensors fusion to attain a context aware activity recognition is also a key contribution in this project.
    Original languageEnglish
    Title of host publicationAustralasian Computing Doctoral Consortium (ACDC 2012), 30th January 2012
    Subtitle of host publication[part of the] Australasian Computer Science Week 2012 (ACSW 2012), 30 January - 3 February 2012, RMIT University, Melbourne, Australia
    PublisherAustralian Computer Society Inc
    Number of pages6
    Publication statusPublished - 2012


    • Activity recognition
    • Context
    • Adaptation
    • Personalisation
    • Stream learning
    • Holistic approach

    Cite this