Mobile activity recognition using contextual reasoning and ubiquitous data stream processing

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

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 proceeding › Conference Paper › Other › peer-review

Abstract

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 language	English
Title of host publication	Australasian 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
Publisher	Australian Computer Society Inc
Number of pages	6
Publication status	Published - 2012

Keywords

Activity recognition
Context
Adaptation
Personalisation
Stream learning
Holistic approach

Access to Document

27796801Final published version, 131 KB

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rWvsBqAAAAAJ&citation_for_view=rWvsBqAAAAAJ:2osOgNQ5qMEC

Cite this

Abdallah, Z. S., Krishnaswamy, S., Gaber, M. M., & Srinivasan, B. (2012). Mobile activity recognition using contextual reasoning and ubiquitous data stream processing. In Australasian Computing Doctoral Consortium (ACDC 2012), 30th January 2012: [part of the] Australasian Computer Science Week 2012 (ACSW 2012), 30 January - 3 February 2012, RMIT University, Melbourne, Australia Australian Computer Society Inc. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rWvsBqAAAAAJ&citation_for_view=rWvsBqAAAAAJ:2osOgNQ5qMEC

Abdallah, Zahraa Said ; Krishnaswamy, Shonali ; Gaber, Mohamed M. ; Srinivasan, Bala. / Mobile activity recognition using contextual reasoning and ubiquitous data stream processing. Australasian Computing Doctoral Consortium (ACDC 2012), 30th January 2012: [part of the] Australasian Computer Science Week 2012 (ACSW 2012), 30 January - 3 February 2012, RMIT University, Melbourne, Australia. Australian Computer Society Inc, 2012.

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abstract = "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.",

keywords = "Activity recognition, Context, Adaptation, Personalisation, Stream learning, Holistic approach",

author = "Abdallah, {Zahraa Said} and Shonali Krishnaswamy and Gaber, {Mohamed M.} and Bala Srinivasan",

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Abdallah, ZS, Krishnaswamy, S, Gaber, MM & Srinivasan, B 2012, Mobile activity recognition using contextual reasoning and ubiquitous data stream processing. in Australasian Computing Doctoral Consortium (ACDC 2012), 30th January 2012: [part of the] Australasian Computer Science Week 2012 (ACSW 2012), 30 January - 3 February 2012, RMIT University, Melbourne, Australia. Australian Computer Society Inc. <https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rWvsBqAAAAAJ&citation_for_view=rWvsBqAAAAAJ:2osOgNQ5qMEC>

Mobile activity recognition using contextual reasoning and ubiquitous data stream processing. / Abdallah, Zahraa Said; Krishnaswamy, Shonali; Gaber, Mohamed M.; Srinivasan, Bala.

Australasian Computing Doctoral Consortium (ACDC 2012), 30th January 2012: [part of the] Australasian Computer Science Week 2012 (ACSW 2012), 30 January - 3 February 2012, RMIT University, Melbourne, Australia. Australian Computer Society Inc, 2012.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

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T1 - Mobile activity recognition using contextual reasoning and ubiquitous data stream processing

AU - Abdallah, Zahraa Said

AU - Krishnaswamy, Shonali

AU - Gaber, Mohamed M.

AU - Srinivasan, Bala

PY - 2012

Y1 - 2012

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AB - 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.

KW - Activity recognition

KW - Context

KW - Adaptation

KW - Personalisation

KW - Stream learning

KW - Holistic approach

M3 - Conference Paper

BT - Australasian Computing Doctoral Consortium (ACDC 2012), 30th January 2012

PB - Australian Computer Society Inc

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Abdallah ZS, Krishnaswamy S, Gaber MM, Srinivasan B. Mobile activity recognition using contextual reasoning and ubiquitous data stream processing. In Australasian Computing Doctoral Consortium (ACDC 2012), 30th January 2012: [part of the] Australasian Computer Science Week 2012 (ACSW 2012), 30 January - 3 February 2012, RMIT University, Melbourne, Australia. Australian Computer Society Inc. 2012